Thread: Video Tutorials Collection

Number System Masterclass
Last updated 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.75 GB | Duration: 6h 25m

Number Theory Math Masterclass. Ace Quantitative Aptitude of CAT & MBA Exams. Solution of Past 20 Years CAT Papers.


What you'll learn
Gain In-depth Knowledge of Number Theory
Basics and Advanced Concepts of the number system for Quantitative Aptitude Exams
Mastering the concept of digits
Tricks and techniques for doing large numerical calculations in a snap
Numerical calculation based on percentages
Perfect squares
Pythagorean triplets
Cyclicity
Digital Sum
Remainder
Basic Remainder theorem
Chinese Remainder Theorem
Euler's Theorem
Fermat's Theorem
HCF and LCM
Divisibility rules
Factorials
Requirements
A laptop with internet connection to follow along lessons
Motivation to learn

Description
Number System is the most important topic in the Quantitative Aptitude section of any competitive examination. If you are appearing for any MBA entrance examination such as Common Admission Test (CAT), XAT, MAT, or any other entrance exam conducted by any IIM or prestigious management Institute, scoring well in the number system segment is a must for ensuring your success. The number system is also an important topic for competitive examinations such as CSAT (UPSC), Bank/PO, SSC, and various other state-level and central government examinations.Considering its importance, this course offers comprehensive coverage of the number system topic covering the following:? Basics of the number system? Mastering the concept of digits? Tricks and techniques for doing large numerical calculations in a snap? Numerical calculation based on percentages? Perfect squares? Pythagorean triplets? Cyclicity? Digital Sum? Remainder? Basic Remainder theorem? Chinese Remainder Theorem? Euler's Theorem? Fermat's Theorem? HCM? LCM? Divisibility rules? FactorialsMaster Number System Math Questions for Quantitative Aptitude Exams Like CAT, MAT, XAT, UPSC CSAT, GMAT, GRE, GATEThis course has been designed to help you gain mastery over the topic of the number system. The instructor offers you all the fundamental concepts along with their practical applications that will be required to build your confidence for the Number System questions in any exam you appear. This course offers complete coverage of the topic of Number System. The course content has been prepared based on thorough research of the previous year's questions of CAT and scholarly sources.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Basic of Number System
Lecture 2 Introduction to Number System
Lecture 3 Types of Number: Real Vs. Imaginary
Lecture 4 Types of Real Numbers: Rational Vs. Irrational Numbers
Lecture 5 How to Convert a Recurring Irrational Number into Fraction?
Lecture 6 How to Convert a Recurring Irrational Number into Fraction in 10 Seconds?
Section 3: Mastering the Game of Digits
Lecture 7 Concept of Unit Digit, Even and Odd Digits
Lecture 8 The Logic of the Last Two Digits
Lecture 9 The Logic of Perfect Squares: Part 1
Lecture 10 The Logic of Perfect Squares: Part 2
Lecture 11 Quick Solution of a Number System Question Using Vedic Math
Section 4: Percentages and Perfect Squares
Lecture 12 Solving a Percentages Question: Fundamentals
Lecture 13 Solving a Percentages Question Using Unit Digit Logic
Lecture 14 Solving a Percentages Question Using Digital Sum Logic
Lecture 15 The Perfect Square Logic: Fast Solution
Lecture 16 Practice Question on Perfect Squares Logic
Section 5: Pythagorean Triplet Logic
Lecture 17 Solving a Question Using the Logic of Pythagorean Triplet
Lecture 18 Understanding Pythagorean Triplet: Part 1
Lecture 19 Understanding Pythagorean Triplet: Part 2
Section 6: Practice Questions
Lecture 20 Practice Question with Solution: Part 1
Lecture 21 Practice Question with Solution: Part 2
Lecture 22 Practice Questions: Solution Using Remainder Trick
Lecture 23 Practice Question: Multiplying Two Numbers Ending With 5 - Part 1
Lecture 24 Practice Question: Multiplying Two Numbers Ending With 5 - Part 2
Lecture 25 Practice Question: Last Two Digit Logic With Five Power- Part 1
Lecture 26 Practice Question: Multiplying Two Numbers Ending With 5 - Part 2
Lecture 27 CAT 2008 Question with Solution
Section 7: Concept of Cyclicity
Lecture 28 Concept of Cyclicity: Part 1
Lecture 29 Concept of Cyclicity: Part 2
Lecture 30 Concept of Cyclicity: Part 3
Lecture 31 Cyclicity of Last Two Digits
Lecture 32 Cyclicity Last 2 Digits of 2 and 5 and Its Reciprocal: Part 1
Lecture 33 Cyclicity Last 2 Digits of 2 and 5 and Its Reciprocal: Part 2
Lecture 34 Cyclicity Last 2 Digits of 2 and 5 and Its Reciprocal: Part 3
Section 8: Understanding and Applying Digital Sum
Lecture 35 Concept of Digital Sum: Part 1
Lecture 36 Concept of Digital Sum: Part 2
Lecture 37 Concept of Digital Sum: Part 3
Lecture 38 Concept of Digital Sum: Part 4
Lecture 39 Practice Question 1 on Digital Sum
Lecture 40 Practice Question 2 on Digital Sum: Part 1 - Question Analysis
Lecture 41 Practice Question 2 on Digital Sum: Part 2 - Solution
Lecture 42 Digital Sum of Any Base System
Section 9: Remainder Theorems: Negative Remainder and Chinese Remainders
Lecture 43 Negative Remainder Theorem
Lecture 44 Practice Question on Negative Remainder: Addition and Multiplication
Lecture 45 Negative Remainder and Digital Sum; Combined Question
Lecture 46 Negative Remainder Exercise When Numerator has Addition and Subtraction
Lecture 47 Negative Remainder Exercise When Numerator has Multiplication
Lecture 48 Calculation Remainder When Numerator has Power
Lecture 49 Exercise: Calculating Remainder when Numerator has Power
Lecture 50 Practice Question on Negative Remainder: Part 1
Lecture 51 Practice Question on Negative Remainder: Part 2
Lecture 52 Chinese Remainder Theorem
Lecture 53 How to Calculate Remainder of Higher Powers: Exercise 1
Lecture 54 How to Calculate Remainder of Higher Powers: Exercise 2
Lecture 55 How to Calculate Remainder of Higher Powers: Exercise 3
Lecture 56 How to Calculate Remainder of Higher Powers: Exercise 4
Lecture 57 Solving a CAT Question on Remainder Theorem With Algebra Concepts: Part 1
Lecture 58 Solving a CAT Question on Remainder Theorem With Algebra Concepts: Part 2
Lecture 59 Proof: x^n+y^n is always divisible with x+y if n is odd
Lecture 60 Which Remainder Method to Choose?
Section 10: Other Remainder Theorems and Their Prerequisites
Lecture 61 Euler's Theorem
Lecture 62 Fermat's Theorem
Lecture 63 Chinese Remainder Theorem
Lecture 64 Wilson's Theorem
Lecture 65 What are Totient Functions?
Lecture 66 What are Co-Prime Numbers?
Lecture 67 Why and When To Use Euler and Fermat's Theorems?
Lecture 68 What is Prime Factorization?
Lecture 69 What are Totient Functions and Co-Primes? Part 1
Lecture 70 What are Totient Functions and Co-Primes? Part 2
Lecture 71 Understanding the Formula of Totient Function
Section 11: Euler's Theorem
Lecture 72 Basics of Euler's Theorem and Checkpoints
Lecture 73 Formula and Examples of Euler's Theorem
Lecture 74 Euler's Theorem: Type 1
Lecture 75 Euler's Theorem: Type 2
Lecture 76 Euler's Theorem: Type 3
Lecture 77 Euler's Theorem: Type 3 With Higher Power
Lecture 78 Euler's Theorem Type 4: Finding Last Two Digits
Lecture 79 Euler's Theorem Type 4: Finding Last Three Digits
Lecture 80 Euler's Theorem Type 5: Higher Powers as Dividend
Lecture 81 Euler's Theorem Type 5: Higher Powers as Dividend - Practice Question
Lecture 82 Euler's Theorem: Type 6
Lecture 83 Euler's Theorem: Type 7
Lecture 84 Euler's Theorem Type 6: Practice Question 1
Lecture 85 Euler's Theorem Type 6: Practice Question 2
Lecture 86 Euler's Theorem: Type 8(A)
Lecture 87 Euler's Theorem: Type 8(B)
Section 12: Fermat's Theorem
Lecture 88 Fermat's Theorem for Prime Divisor
Lecture 89 Totient Function of Prime Number
Lecture 90 Explaining Fermat's Theorem
Lecture 91 Fermat's Theorem: Types of Application
Lecture 92 Fermat's Theorem: Application Type 1
Lecture 93 Fermat's Theorem: Application Type 2
Lecture 94 Fermat's Theorem: Application Type 3
Lecture 95 Fermat's Theorem: Application Type 4
Lecture 96 Fermat's Theorem: Application Type 4 Choose Between Negative Remainder or
Lecture 97 Fermat's Theorem: Application Type 4 Negative Remainder Practice
Lecture 98 Fermat's Theorem: Application Type 5 Higher Power Fundamental
Lecture 99 Fermat's Theorem: Application Type 5 Higher Power Practice
Lecture 100 Fermat's Theorem: Application Type 5 CAT Replica
Lecture 101 Fermat's Theorem: Application Type 5 CAT Replica Questions
Lecture 102 Conclusion Applying Fermat's Theorem Part 1
Lecture 103 Conclusion Applying Fermat's Theorem Part 2
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Complete Mysql Dba Training On Linux
Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.66 GB | Duration: 26h 49m

MySQL DB Training for Data Analysis to get your Dream IT Job


What you'll learn
You will be able to apply for SQL developer, Database administrator, Business Analyst, and Business Intelligence job opportunities
You will learn 150+ SQL queries
Administration of SQL database through Linux Operating System
You will manage SQL servers in a corporate environment
Troubleshoot everyday SQL database related issues
Know how to answer specific business questions by using SQL's aggregate functions
Requirements
Positive attitude and desire to learn
Passion to become SQL database administrator
A PC or MAC with at least 4-8G of RAM

Description
MySQL Server continues to be one of the world's most popular, FREE and top databases. Database is a heart of IT which is needed to stored all critical data and information. MySQL is a DBMS, or database management system. It is developed, supported and distributed by Oracle, but since it is open-source it is freely available to anyone. MySQL databases are relational, meaning that the data is split up between tables. MySQL is very fast and lightweight so you can run it alongside your other applications on a desktop or laptop. It can also be scaled up to take advantage of all the CPU power and memory available on a dedicated machineIf you want to become an expert in SQL database administration then this is the course for YOU.This training course will provide you all the necessary skills you need to be a successful database administrator.Here is the course outline:Course SyllabusSection 1:Introduction to DatabaseRDBMSWhat is SQL?Top 5 RDBMSIntroduction to MySQL ServerDifferent editions of MySQLSection 2:MySQL Server pre-requisiteLab designWhat is virtualization?Download and Install VMWare Workstation PlayerOptional - Download and Install Oracle VirtualBoxCreate a Virtual MachineDownload and Install Linux ServerVirtual Machine ManagementSection 3:Important things to remember in LinuxLinux navigation commandsWhat is root?Directory listing attributesLinux command syntaxCreating files and directories and its permissionsChanging passwordHelp commandsAdding text to filesPipes (|)File maintenance commandsFile display commandsLinux file editorUser account management and sudo accessProcess monitor commandsCrontabLinux network files and commandsSecure copy (SCP)System updates and repos (rpm and yum).Section 4:Forks of MySQL and Cloud ComputingMySQL installationDownload, Install and Configure MySQLInstall MySQL WorkbenchDownload and restore sample Sakila DBQuizSection 5:What is Data and Database and RDBMS?How is data stored?How is data saved in MySQL (Linux)MySQL Storage engine and TypesWhat is a Table, COLUMN and ROW ?What is a Key?What is Primary Key, Foreign Key, Unique Key etc.What is a Transaction and ACID properties?Database Normalization AND its different formsCreate your first Database, Table and Populate table with dataQuizSection 6:SQL Statement and TypesDML Statement with examplesDDL Statements with examplesDCL Statements with examplesTCL Statements with examplesQuizSection 7:Create TABLE(s) and Temp Table(s)SELECT Statement in detailOperators, Expressions and ConditionsWHERE Clause, ORDER BY, HAVING BY, GROUP BY ClauseSelect from two tables - JOINS and different Types of JOINSWhat is a Sub Query?INSERT, UPDATE, and DELETE statementsLoad data from a CSV file to MySQL and vice versaStored procedureWhat is view, function, trigger and indexClustered, non-clustered Indexes and Index Design considerationsINDEX Cardinality, Table Fragmentation, USE INDEX, FORCE INDEX and LABQuizSection 8:MySQL Architecture OverviewMySQL Programs and invocationSpecifying Program Options and Option FilesHow to edit the configuration file (.cnf)Options scopeWhat options are in affect?QuizSection 9:MySQL Backups, why we need backup, RTO and RPOType of Backups in MySQL, offsite storage, encryption and restore testingBinary logsThe mysqldump utilityRestore of database using mysql and WorkbenchTable level Backup and RestorePoint In Time Recovery in MySQLXtraBackup Utility by Percona, Functionality and InstallationFull Backup and Restore using Percona XtraBackupLab for mysqldump and Backups using MySQL WorkbenchIncremental Backup and Restore using Percona XtraBackupSchedule backups (cronjobs)QuizSection 10:Understanding MySQL SecurityRoot User in MySQLCREATE USER and ALTER USER StatementCreate New User (MySQL Workbench)MySQL Privileges , Privileges Control and Some important Privileges in MySQLGRANT Statement , WITH GRANT Option and Granting Privileges to MySQL UserGRANT Tables and Checking PrivilegesREVOKE Statement and Revoking PrivilegesDROP USER StatementRoles in MySQLQuizSection 11:MySQL Server Performance Monitoring BasicsThe General Query LogThe Slow Query LogThe Error LogOptimizing configuration for MySQL performanceDB Engine StatusQuery Optimization TIPS, EXPLAIN Statement and Execution PlansQuery Optimization DemoQuizSection 12:MySQL Replication and its AdvantagesMySQL Replication MethodsSynchronization TypesReplication FormatsMySQL Replication Setup DemoQuiz
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course overview
Lecture 3 Introduction to database
Lecture 4 What is RDBMS?
Lecture 5 What is SQL?
Lecture 6 Top 5 RDBMS using SQL
Lecture 7 Introduction to MySQL Server
Lecture 8 Editions of MySQL Server
Section 2: Lab design and setup
Lecture 9 Welcome to the lab design and setup
Lecture 10 Lab Setup Pre-requisite
Lecture 11 Lab design
Lecture 12 What is Virtualization?
Lecture 13 Download and Install VMWare Workstation Player
Lecture 14 Optional - Download and Install Oracle Virtualbox
Lecture 15 Create a Virtual Machine
Lecture 16 Download and Install Linux server
Lecture 17 Virtual machine management
Section 3: Linux Basics for a DB Administrator
Lecture 18 Welcome to Linux basic administration
Lecture 19 Important Things to Remember in Linux
Lecture 20 Linux navigation commands (cd, pwd and ls)
Lecture 21 What is root?
Lecture 22 Directory Listing Attributes
Lecture 23 Linux Command Syntax
Lecture 24 Creating Files and Directories (touch, cp, vi, mkdir)
Lecture 25 Changing Password
Lecture 26 Files and Directory Permissions (chmod)
Lecture 27 Help Commands
Lecture 28 Adding Text to Files
Lecture 29 Pipes ( | )
Lecture 30 File Maintenance Commands (cp, rm, mv, mkdir, rmdir)
Lecture 31 File Display Commands (cat, less, more, head, tail)
Lecture 32 Linux File Editor (vi)
Lecture 33 User Account Management (useradd, groupadd, usermod, userdel, groupdel)
Lecture 34 Switch Users and Sudo Access (su, sudo)
Lecture 35 Process monitor commands (ps and top)
Lecture 36 crontab command
Lecture 37 Linux network files and commands
Lecture 38 SCP - Secure Copy Protocol
Lecture 39 System Updates and Repos (rpm, yum)
Section 4: Download, Install and Configure MySQL
Lecture 40 Weclome To Download, Install and Configure MySQL Section
Lecture 41 Brief History, Forks of MySQL and Cloud Computing
Lecture 42 MySQL installation steps (prereq, distribution, versions etc)
Lecture 43 Download, Install and Configure MySQL
Lecture 44 Install MySQL Workbench
Lecture 45 Download and restore sample Sakila DB
Section 5: Database Fundamentals and Design
Lecture 46 Welcome To Database Fundamentals and Design Section
Lecture 47 What is Data?
Lecture 48 What is Database?
Lecture 49 What is Relational Database and Relational Database Management System (RDBMS) ?
Lecture 50 How is data stored ?
Lecture 51 How is Data Saved in MySQL (linux)
Lecture 52 MySQL Storage engine and Types
Lecture 53 What is a Table, COLUMN and ROW ?
Lecture 54 What is a Key?
Lecture 55 What is Primary Key , Foreign Key, Unique Key etc ?
Lecture 56 What is a Transaction and ACID properties?
Lecture 57 Database Normalization AND Different forms of Database Normalization
Lecture 58 Create your first Database, Table and Populate table with data
Section 6: Introduction to SQL Commands
Lecture 59 Welcome to Basic SQL Commands Section
Lecture 60 SQL Statement and Types
Lecture 61 DML Statement with examples
Lecture 62 DDL Statements with examples
Lecture 63 DCL Statement with examples
Lecture 64 TCL Statement with examples
Section 7: Query and Data Manipulation
Lecture 65 Welcome to Query and Data Manipulation Sections
Lecture 66 Create TABLE(s) and Temp Table(s)
Lecture 67 SELECT Statement in detail
Lecture 68 Operators, Expressions and Conditions
Lecture 69 WHERE Clause, ORDER BY Clause , HAVING By Clause, GROUP BY Clause
Lecture 70 Select from two tables - JOINS
Lecture 71 Different Types of JOINS
Lecture 72 What is a Sub Query?
Lecture 73 INSERT Statement in detail
Lecture 74 Load Data from a CSV file to MySQL
Lecture 75 Export data from MySQL to a CSV
Lecture 76 UPDATE Statement in detail
Lecture 77 DELETE Statement in detail
Lecture 78 What is a Stored Procedure
Lecture 79 What Is a View?
Lecture 80 What is a Function?
Lecture 81 What is a Trigger?
Lecture 82 What is an INDEX?
Lecture 83 Clustered ,NonClustered Indexes and Index Design considerations
Lecture 84 INDEX Cardinality, Table Fragmentation, USE INDEX, FORCE INDEX and LAB
Section 8: MySQL Architecture and Option Files
Lecture 85 Welcome to MySQL Architecture and Option Files Section
Lecture 86 MySQL Architecture Overview
Lecture 87 MySQL Programs and invocation, Specifying Program Options and Option Files
Lecture 88 my.cnf file and How to edit my.cnf (LAB)
Lecture 89 Options Scope and What options are in affect ?
Section 9: MySQL Backups and Recovery
Lecture 90 Welcome to MySQL Backups and Restore Section
Lecture 91 MySQL Backups, why we need backup, RTO and RPO
Lecture 92 Type of Backups in MySQL, Offsite Storage, Encryption and Restore Testing
Lecture 93 Binary Logs
Lecture 94 The mysqldump Utility
Lecture 95 Restore of database using mysql and Workbench
Lecture 96 Table level Backup and Restore
Lecture 97 Point In Time Recovery in MySQL and Lab
Lecture 98 XtraBackup Utility by Percona, Functionality and Installation
Lecture 99 Full Backup and Restore using Percona Xtrabackup
Lecture 100 Lab for mysqldump and Backups using MySQL Workbench
Lecture 101 Incremental Backup and Restore using Percona XtraBackup
Lecture 102 Schedule backups (cronjobs)
Section 10: Users and Privileges Management
Lecture 103 Welcome to Users and Privileges Management Section
Lecture 104 Understanding MySQL Security
Lecture 105 Root User in MySQL
Lecture 106 CREATE USER and ALTER USER Statement
Lecture 107 Create New User (MySQL Workbench)
Lecture 108 MySQL Privileges , Privileges Control and Some important Privileges in MySQL
Lecture 109 GRANT Statement , WITH GRANT Option and Granting Privileges to MySQL User
Lecture 110 GRANT Tables and Checking Privileges
Lecture 111 REVOKE Statement and Revoking Privileges
Lecture 112 DROP USER Statement
Lecture 113 Roles in MySQL
Section 11: Monitoring MySQL Server
Lecture 114 Welcome to Monitoring MySQL Server Section
Lecture 115 MySQL Server Performance Monitoring Basics
Lecture 116 The General Query Log
Lecture 117 The Slow Query Log
Lecture 118 The Error Log
Lecture 119 Optimizing my.cnf for MySQL performance
Lecture 120 InnoDB Engine Status
Lecture 121 Query Optimization TIPS, EXPLAIN Statement and Execution Plans
Lecture 122 Query Optimization Demo
Section 12: MySQL Replication
Lecture 123 Welcome to MySQL Replication Sections
Lecture 124 MySQL Replication and Its Advantages
Lecture 125 MySQL Replication Methods , Synchronization Types and Replication Formats
Lecture 126 MySQL Replication Setup Demo
Lecture 127 Congratulations
Anyone who wants to start a career in SQL database administration,Anyone who wants to have complete SQL database training to get a job in IT,Anyone who wants to advance his/her career,Anyone who wants to master the SQL command line skills,College students,IT professionals, teachers and instructors

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Sap Wm : Begin Here To Advance
Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.03 GB | Duration: 22h 12m

Learn SAP WM module with practical scenarios


What you'll learn
SAP WM Module (Warehouse Management) in a real SAP environment
The use of the module along with its working
Carry out blue printing for your warehouse
Understand in detail regarding picking and put-away strategies
Concepts on good receipts, good issue, stock transfer, stock removal, transfer orders
Requirements
No pre-requisites other than the zeal to work hard !

Description
SAP Warehouse Management (WM) is a significant SAP module that gives the stockroom the board usefulness. This module gives devices and cycles to keep up with stock at an ideal level.SAP WM course covers all parts of the stockroom and the executives and will give you abilities to turn into a fruitful distribution center chief with complete control over the SAP WM module.SAP WM is warehousing the executives' application apparatus of SAP ERP, which gives basic enlightening scientific announcing information of warehousing tasks like Goods getting and giving, group and quality administration in the stockroom, kinds of development in the distribution center, and so on which helps in the controlling and the board of development and capacity of merchandise and unrefined components inside a distribution center with extraordinary recognizability.The points covered are not just important to the people who work straightforwardly with the WM module of SAP. It will bear some significance with every one of the people who work in connection with it, like the Material Management (or MM) module, the Production Planning (or PP) module, or the Quality Management (or QM) module.It ought to likewise hold any importance with stockroom directors, bosses, or supervisors in the circulation business who might want to comprehend top to bottom the functionalities that are now carried out in their organization, or the functionalities that they ought to consider for the future, as the product offers such countless conceivable outcomes.Since this course covers the nuts and bolts important to comprehend the whole module, individuals wishing to make a vocation change in IT and all the more explicitly in SAP are gladly received.The course will cover:The basic function of a warehouseInventory ManagementStock movementsGoods and Receipt ProcessGood Issue ProcessStock Transfer / Bin to BinPicking strategiesPutaway strategiesIntegration with other modules (PP / QM)The different inventory proceduresStorage unit management and many more real-life examples!
Overview
Section 1: Significance of WM
Lecture 1 Significance of WM part - 1
Lecture 2 Significance of WM part - 2
Section 2: Overview of SAP WM
Lecture 3 Overview of SAP WM Part - 1
Lecture 4 Overview of SAP WM Part - 2
Lecture 5 Overview of SAP WM Part - 3
Section 3: Structural Element
Lecture 6 Structural Element - Part 1
Lecture 7 Structural Element - part 2
Lecture 8 Structural Element - part 3
Lecture 9 Structural Element - part 4
Section 4: Interface between IM and WM
Lecture 10 Interface between IM and WM
Section 5: Material Master influence in SAP WM
Lecture 11 Material Master influence in SAP WM
Section 6: Warehouse Products
Lecture 12 Warehouse Products
Section 7: Putaway Picking Strategies
Lecture 13 Putaway Picking Strategies
Section 8: Put Away in SAP WM
Lecture 14 Put Away in SAP WM
Section 9: Simple Inbound Processes in SAP WM
Lecture 15 Simple Inbound Processes Part - 1
Lecture 16 Simple Inbound Processes Part - 2
Section 10: Simple Outbound Process
Lecture 17 Simple Outbound Process part - 1
Lecture 18 Simple Outbound Process pat - 2
Section 11: Warehouse Management Views
Lecture 19 Warehouse Management Views
Section 12: Transfer Requirements and Transfer Order in SAP WM
Lecture 20 Transfer Requirements and Transfer Order in SAP WM
Section 13: WM Customization
Lecture 21 WM Customization Part - 1
Lecture 22 WM Customization Part - 2
Section 14: Fixed Bin Strategy for Picking
Lecture 23 Fixed Bin Strategy for Picking
Section 15: Fixed Bin Strategy for Stock Putaway
Lecture 24 Fixed Bin Strategy for Stock Putaway
Section 16: Putaway for Inbound Delivery in SAP WM
Lecture 25 Putaway for Inbound Delivery in SAP WM
Section 17: Bin to Bin Movement in SAP WM
Lecture 26 Bin to Bin Movement in SAP WM
Section 18: IM and WM Linkage
Lecture 27 IM and WM Linkage
Section 19: Stock Placement Control in SAP WM
Lecture 28 Stock Placement Control in SAP WM
Section 20: Sock Removal Control in SAP WM
Lecture 29 Sock Removal Control in SAP WM
Section 21: Batch Determination
Lecture 30 Batch Determination
Section 22: WM Driven Operations
Lecture 31 WM Driven Operations
Section 23: WM Movement Types
Lecture 32 WM Movement Types
Section 24: Physical Inventory Difference in SAP WM
Lecture 33 Physical Inventory Difference in SAP WM
Section 25: Posting Process in SAP WM
Lecture 34 Posting Process in SAP WM
Section 26: Capacity Check Control in SAP WM
Lecture 35 Capacity Check Control in SAP WM
Section 27: Warehouse Implementation and Blueprinting
Lecture 36 Warehouse Implementation and Blueprinting
Anyone aspiring to become SAP WM/EWM Consultant / Manager,Anyone looking forward to start SAP career,Potential Project Managers & Supervisors,Warehouse Management Support Consultants

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Complete Data Structures And Algorithms: Software Interviews
Published 7/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.01 GB | Duration: 16h 4m

Learn data structures and algorithms with Python. Solve technical questions by Google, Amazon, Meta, Netflix and more!


What you'll learn
Data Structures
Algorithms
Technical Interview Question Solutions
Python
Requirements
Knowledge in any programming language

Description
Welcome to the Complete Data Structure & Algorithms: Technical Interviews courseData structures and algorithms is not just a subject which every programmer should master but also a major topic in technical interviews by giant technology companies such as Google, Amazon, Microsoft, Netflix, Uber, Tesla etc.Not only we will learn about the theory and practical implementations of the data structures & algorithms but also we will solve many technical interview questions and practice what we learn in each section.During the course we will use Python programming language for all implementations and question solutions. However if you are sufficient in any other programming language before, you would be fine. We have a quick Python Refresher section where you can learn about the fundamentals if you want to adapt. Alternatively you can learn all the algorithms and solutions and implement them in your own preferred language as well.This course is brought to you by Atil Samancioglu, teaching more than 300.000 students worldwide on programming and cyber security along with the Codestars, serving more than 1 million students! Atil also teaches mobile application development in Bogazici University and he is founder of his own training startup Academy Club. Some of the topics that will be covered during the course:Technical Interview QuestionsBig O NotationStackQueueDequeArraysLinked ListHeapGraphTreeHashTableAfter you complete the course you will be able to solve technical interview questions, improve your programming skills and implement ideas in real life problems. You will be given many opportunities to solve questions on your own during the training and it will be vital for you to follow these instructions.If you are ready, let's get started!
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Outline
Section 2: Big O Notation
Lecture 3 Big O Introduction
Lecture 4 What is Big O?
Lecture 5 Big O Code Examples
Lecture 6 Space Complexity
Lecture 7 Big O GitHub Link
Section 3: Lists & Arrays
Lecture 8 Lists Introduction
Lecture 9 Arrays 101
Lecture 10 Lists
Lecture 11 Arrays & Lists GitHub Link
Lecture 12 Contains Duplicate
Lecture 13 Contains Duplicate Solution
Lecture 14 Contains Duplicate GitHub Link
Lecture 15 Find Single
Lecture 16 Single Number Solution
Lecture 17 Find Single GitHub Link
Lecture 18 Majority Element
Lecture 19 Boyer Moore
Lecture 20 Majority Element GitHub Link
Section 4: Stack, Queue & Deque
Lecture 21 Stack, Queue, Deque Introduction
Lecture 22 What is Stack, Queue, Deque?
Lecture 23 LifoQueue
Lecture 24 Stack Implementation
Lecture 25 Queue Implementation
Lecture 26 Deque Implementation
Lecture 27 Stack, Queue, Deque GitHub Link
Lecture 28 Implement Stack Using Queue
Lecture 29 Writing the Stack
Lecture 30 Implement Stack GitHub Link
Lecture 31 Baseball Game
Lecture 32 Baseball Solution
Lecture 33 Baseball GitHub Link
Lecture 34 Daily Temperatures
Lecture 35 Daily Temperatures Solution
Lecture 36 Daily Temperatures GitHub Link
Section 5: Linked List
Lecture 37 Linked List Introduction
Lecture 38 What is Linked List?
Lecture 39 Doubly Linked List
Lecture 40 Linked List O Notation
Lecture 41 Linked List GitHub Link
Lecture 42 Remove nth Node
Lecture 43 Remove nth Node Solution
Lecture 44 Remove nth Node GitHub Link
Lecture 45 Linked List Intersection
Lecture 46 Intersection Solution
Lecture 47 Intersection GitHub Link
Lecture 48 Duplicate
Lecture 49 Floyd
Lecture 50 Duplicate GitHub Link
Section 6: Tree
Lecture 51 Tree Introduction
Lecture 52 What is Tree?
Lecture 53 Tree Big O Notation
Lecture 54 Insert Method
Lecture 55 Finishing BST
Lecture 56 Tree GitHub Link
Lecture 57 Recursion
Lecture 58 Recursion GitHub Link
Lecture 59 Reverse String
Lecture 60 Reverse String Recursion
Lecture 61 Reverse String GitHub Link
Lecture 62 Fibonacci
Lecture 63 Recursion vs Iteration
Lecture 64 Memoization
Lecture 65 Fibonacci GitHub Link
Lecture 66 Invert Binary Tree
Lecture 67 Invert Tree Solution
Lecture 68 Invert Binary GitHub Link
Section 7: Tree Traversal
Lecture 69 Tree Traversal Introduction
Lecture 70 BFS vs DFS
Lecture 71 BFS Implementation
Lecture 72 DFS Implementation
Lecture 73 DFS Other Methods
Lecture 74 Tree Traversal GitHub Link
Lecture 75 BST to Tree
Lecture 76 DFS Solution
Lecture 77 Greater BST GitHub Link
Lecture 78 Binary Tree Max Path Sum
Lecture 79 DFS Returning Solution
Lecture 80 Binary Tree Max GitHub Link
Section 8: Graph
Lecture 81 Graph Introduction
Lecture 82 What is Graph?
Lecture 83 Graph Implementation
Lecture 84 Graph GitHub Link
Lecture 85 Reorder Routes
Lecture 86 DFS Solution
Lecture 87 Reorder Routes GitHub Link
Lecture 88 Number of Islands
Lecture 89 BFS Solution
Lecture 90 Number of Islands GitHub Link
Lecture 91 Redundant Connection
Lecture 92 Union Find
Lecture 93 Redundant Connection GitHub Link
Section 9: Searching & Hash Tables
Lecture 94 Hash Tables Introduction
Lecture 95 Sequential vs Binary
Lecture 96 Search Implementation
Lecture 97 Search Algorithms GitHub Link
Lecture 98 What is Hash Table?
Lecture 99 Hash Function
Lecture 100 Hash Table Implementation
Lecture 101 HashTable GitHub Link
Lecture 102 Two Sum
Lecture 103 HashMap Solution
Lecture 104 Two Sum GitHub Link
Lecture 105 Encode Decode
Lecture 106 Tiny Url Solution
Lecture 107 Tiny Url GitHub Link
Lecture 108 Brick Wall
Lecture 109 Brick Wall Solution
Lecture 110 Brick Wall GitHub Link
Section 10: Sorting & Heap
Lecture 111 Heap Introduction
Lecture 112 Sorting Algorithms
Lecture 113 Bubble Sort
Lecture 114 Selection Sort
Lecture 115 Insertion Sort
Lecture 116 Merge Sort
Lecture 117 Merge Sort Implementation
Lecture 118 Quick Sort
Lecture 119 Quick Sort Implementation
Lecture 120 What is Heap?
Lecture 121 Heap Sort
Lecture 122 Sorting Algorithms GitHub Link
Lecture 123 K Closest Points
Lecture 124 Heap Solution
Lecture 125 K Closest GitHub Link
Lecture 126 Data Stream
Lecture 127 Max Heap Solution
Lecture 128 Data Stream GitHub Link
Section 11: Python Refresher
Lecture 129 Python Refresher Introduction
Lecture 130 Anaconda Installation (Windows)
Lecture 131 Anaconda Installation (MAC)
Lecture 132 Python Variables
Lecture 133 String Details
Lecture 134 Collections
Lecture 135 Dictionary
Lecture 136 Set and Tuple
Lecture 137 Conversions
Lecture 138 Error Handling
Lecture 139 Conditions and Loops
Lecture 140 Useful Functions
Lecture 141 Functions
Lecture 142 Classes
Lecture 143 Scope
Lecture 144 Python Refresher GitHub Link
Section 12: Closing
Lecture 145 Closing
Programmers trying to land a job in big technology companies,Programmers looking forward to improve their coding skills,Programmers looking to learn about data structures & algorithms

Code:

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Code:

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HashiCorp Certified: Vault Operations Professional 2022
Published 07/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 96 lectures (17h 1m) | Size: 8.4 GB

Earn the Vault Operations Pro certification from an Instructor who helped write the exam! Includes access to Vault labs!

What you'll learn
Take your Vault knowledge to the next level by learning how to properly operate a Vault environment
Created by an EXAM CONTRIBUTOR who worked with HashiCorp for over 1.5 years to create the exam
Learn alongside a HASHICORP AMBASSADOR who has consulted on Vault for over 5 years
Earn your HashiCorp Certified: Vault Operations Professional through lecture and hands-on labs
Real-world examples and includes FREE access to HANDS-ON LABS to practice on your own
Lecture, practice questions, and very thorough lab examples
Requirements
Preferred candidates should have already earned their HashiCorp Certified: Vault Associate certification
Working knowledge of Vault - this is NOT an introductory-level course
Understanding of Vault concepts, components, and deployment
Description
Start your journey to becoming a HashiCorp Certified: Vault Operations Professional right here. Built by an instructor who helped write the official exam and has consulted for HashiCorp and large organizations for 6+ years.
***This course includes access to live Vault hands-on labs where you can practice working with Vault right in your browser. Eliminates the risk and cost of running your own environment to prepare for the exam.
This is the most comprehensive and extensive course for learning how to earn your HashiCorp Certified: Vault Operations Professional. The course follows the exam objectives using in-depth lectures, lab demonstrations, and hands-on opportunities so you can quickly configure Vault in a real-world environment. You have access to all the slides, a PDF of the commands in each demonstration, and additional labs you can do on your own.
You Get The Following Benefits By Using This Course
Covers 100% of exam content through lecture, demo, and hands-on opportunities
Access to Hands-On Labs that help you practice Vault configurations ⌨
Covers both Vault Open-Source and Vault Enterprise Features ☁
Exam-like Quiz for Each Exam Objective
Complete Study Guide for Certification Preparation
Written by a HashiCorp Ambassador who teaches the Official HashiCorp Curriculum
About The Instructor
Created by an experienced instructor, Bryan has been delivering official HashiCorp training for many years. These training classes vary between private, in-depth training, personalized advanced training, all the way to the official training courses listed on HashiCorp's website (seriously, go look!). Bryan was one of the first people to earn all of the HashiCorp certifications and has spoken at multiple HashiCorp conferences and community events. He is also a HashiCorp Ambassador for 2020, 2021, and 2022.
Who this course is for
Advanced Vault operators looking to increase their level of knowledge of Vault
Engineers looking to earn their HashiCorp Certified: Vault Operations Professional

Code:

https://anonymz.com/?https://www.udemy.com/course/hashicorp-certified-vault-operations-professional/

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Code:

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Ethical Hacking - Der Umfassende Kurs
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: Deutsch | Size: 6.62 GB | Duration: 21h 47m

Werde Penetration Tester: Lerne Kali Linux, Wireshark, Nmap, Metasploit, Password-Cracking, Sniffing, Keylogger u.v.m.


What you'll learn
Erhalte eine umfassende und fundierte Hacking-Ausbildung und werde Ethical Hacker
Lerne die einschl?gigen Hacking-Tools, wie Nmap, Wireshark, Metasploit & Co. in der Praxis kennen
Lerne Kali Linux, die professionelle Plattform f?r Hacker und Penetration Tester kennen
F?hre Exploits aus, die Windows- und Linux-Systeme kompromittieren und erhalte Kontrolle ?ber die Zielsysteme
Erstelle eine Hacking-Laborumgebung, um alle Angriffe praktisch zu testen und ?ben zu k?nnen
Erfahre in der Praxis, wie Hacker Webserver und Webanwendungen angreifen und wie SQL-Injection funktioniert
Erfahre, welche Stufen ein professioneller Hacking-Angriff umfasst
Lerne, mit welchen Methoden und Tools du WLAN- und Mobile-Systeme hacken kannst
Requirements
Grundlegende IT-Kenntnisse sind erforderlich
Du solltest viel Neugier und Wissensdurst mitbringen
Ein Hacker hat ein gesundes Ma? an Geduld, Z?higkeit und Durchsetzungswillen
Programmierkenntnisse sind von Vorteil aber nicht zwingend notwendig
Du solltest wissen, wie ein IT-Netzwerk funktioniert und Grundlagen von TCP/IP mitbringen

Description
„Ich sch?tze die Kurse von Eric Amberg sehr, da er nicht nur theoretisches lehrt, sondern auch praktisches. Er scheut sich nicht, alles erz?hlte auch real vorzuf?hren. Deswegen freu ich mich auf die weiteren Videos. Da ich gerade die Zertifizierung zum CEHv10 anstrebe, kommt mir dieser Kurs SEHR gelegen. Endlich ein CEH Kurs mit praktischen Beispielen. TOP!!"*(★★★★★, Rudolf Werner) Du suchst nach einem Einstieg in die Welt der Ethical*Hacker und Penetration Tester? Du m?chtest wissen, wie Hacker vorgehen, um Computersysteme und -Netzwerke anzugreifen und Schwachstellen auszunutzen? Dann bist du hier genau richtig! Als Experte und Berater f?r IT-Sicherheit habe ich meine langj?hrige Erfahrung in dieses Videotraining einflie?en lassen und einen einmaligen Kurs f?r dich erstellt.In diesem umfangreichen Kurs lernst du nicht nur, wie Hacking-Angriffe funktionieren und welche Tools und Methoden hierbei zum Einsatz kommen sondern du erh?ltst zudem eine fundierte und praxisorientierte*Hacking-Ausbildung, die dich optimal auf die Praxis als Penetration Tester vorbereitet. Beachte:*Der Kurs ist noch in der Entwicklung. Er ist mit ?ber 21 Stunden schon jetzt sehr umfangreich, wird aber laufend weiterentwickelt und erh?lt regelm??ig weitere Inhalte!Du lernst unter anderem:Wie du das perfekte Hacking-Lab aufbaustWelche Stufen ein professioneller Hacking-Angriff umfasstMit welchen Tools und Methoden Angreifer alles ?ber ihre Opfer in Erfahrung bringenWie du Nmap optimal einsetzen kannst, um das Zielnetzwerk auf Schwachstellen zu analysierenWarum Wireshark eines der Lieblingswerkzeuge von Hackern istWas es mit Buffer Overflows auf sich hat und wie du deine eigenen BO-Scripts schreiben kannstWie du das umfassende Metasploit-Framework nutzen kannst, um vielf?ltige Angriffe vorzubereiten und durchzuf?hrenMit welchen Techniken du deine Payload vor der Entdeckung durch AV-Systeme und IDS/IPS*sch?tzen kannst.Warum in vielen Szenarien Privilege Escalation der entscheidende Schritt ist, um das Opfersystem zu ?bernehmenMit welchen Tools du*Passw?rter in*unterschiedlichen Szenarien knacken*kannstWie SQL-Injection, XSS und andere Angriffe auf Webanwendungen funktionierenu.v.m.Mit diesem Kurs erh?ltst du dein perfektes Starterpaket, um als Ethical Hacker und Penetration Tester durchzustarten. Neben den Angriffstechniken erf?hrst du zu jedem Angriffsvektor, welche Verteidigungsma?nahmen effektiv sind und worauf es ankommt, um den Black Hats einen Schritt voraus zu sein. Versetze dich in den Angreifer, um die wahren Schwachstellen deiner Computersysteme aufzudecken. Nur so ist ein effektiver Schutz m?glich.Nachdem du diesen Kurs und alle ?bungen und Aufgaben absolviert hast, wirst du auf dem besten Weg zu einem f?higen Ethical Hacker und Penetration Tester sein. Starte noch heute deine Karriere als Ethical Hacker und erweitere dein IT-Wissen um einen der wichtigsten Bereiche in der heutigen Computerwelt!
Who this course is for
Alle, die lernen m?chten, wie Hacker vorgehen, um in Computersysteme einzudringen und diese anzugreifen,IT-Security-Professionals, die ihre Systeme testen m?chten, um sie effektiv zu sch?tzen,System- und Netzwerk-Administratoren, die verstehen m?chten, ?ber welche Wege ihre Systemen angegriffen werden k?nnen,Angehende Penetration Tester, die eine fundierte Grundausbildung f?r den Einstieg in ihre Karriere suchen

Code:

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MasterClass - The Duffer Brothers Teach Developing an Original TV Series
Released 06/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + Subs | Duration: 18 Lessons (5h 18m) | Size: 14 GB

Matt and Ross Duffer-the "Stranger Things" masterminds-teach you how they plotted the series from beginning to end, and how you can bring your own idea to life

Before they turned our world upside down with "Stranger Things," Matt and Ross Duffer honed their scare tactics on Wayward Pines and their debut thriller, Hidden. Now, the acclaimed showrunners reveal the dark science of creating a monster hit. Craft gripping story arcs, conjure unforgettable characters-like Eleven or Jim Hopper-and turn your raw idea into a pitch for the next big thing to cross over from the other side.

Code:

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Code:

https://rapidgator.net/file/b58e98575e2f186c7c26be15c1e2122c/The_Duffer_Brothers_Teach_Developing_an_Original_TV_Series.part1.rar
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Machine Learning In Gis And Remote Sensing: 5 Courses In 1
Last updated 11/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.05 GB | Duration: 8h 13m

Understand & apply machine learning and deep learning for geospatial tasks (GIS and Remote Sensing) in QGIS and ArcGIS


What you'll learn
Fully understand the basics of Machine Learning and Machine Learning in GIS
Learn the most popular open-source GIS and Remote Sensing software tools (QGIS, SCP, OTB toolbox)
Learn the market leading GIS software ArcGIS (ArcMap) and ArcGIS Pro
Learn about supervise and unsupervised learning and their applications in GIS
Apply Machine Learning image classification in QGIS and ArcGIS
Run segmentation and object-based image analysis in QGIS and ArcGIS
Learn and apply regression modelling for GIS tasks
Understand the main developments in the field of Artificial Intelligence, deep learning and machine learning as applied to GIS
Complete two independent projects on Machine Learning and Deep Learning
Understand basics of deep learning as a part of machine learning
Apply deep learning algorithms , such as convolution neural networks, in GIS with ArcGIS Pro
Requirements
Basic knowledge of manipulating spatial (image) data will be an advantage but not a must
The course will be demonstrated using a QGIS version of Windows PC. Mac and Linux users will have to adapt the instructions to their operating systems.
Access to ArcGIS (Pro version 2.5 and ArcMAp 10.6 or higher): free trial available on the ESRI website

Description
This course is designed to equip you with the theoretical and practical knowledge of Machine Learning and Deep Learning in QGIS and ArcGIS as applied for geospatial analysis, namely Geographic Information Systems (GIS) and Remote Sensing. By the end of the course, you will feel confident and completely understand the Machine and Deep Learning applications in Remote Sensing & GIS technology and how to use Machine and Deep Learning algorithms for various Remote Sensing & GIS tasks, such as land use and land cover mapping (classifications) and object-based image analysis (segmentation, object detection) and regression modeling in QGIS and ArcGIS software. This course will also prepare you for using GIS with open source and free tools (QGIS) and a market-leading software (ArcGIS).This course is designed to take users who use QGIS & ArcGIS for basic geospatial data/GIS/Remote Sensing analysis to perform more advanced geospatial analysis tasks including object-based image analysis using a variety of different data and applying Deep Learning & Machine Learning state of the art algorithms. In addition to making you proficient in QGIS for spatial data analysis, you will be introduced to another powerful processing toolbox - Orfeo Toolbox, and to the exciting capabilities of ArcMap and ArcGIS PRO!In the course, you will be able to apply such Machine Learning algorithms as Random Forest, Support Vector Machines, Decision Trees, Convolutional Neural Networks (and others) for Remote Sensing and geospatial tasks. You will also learn how to conduct regression modeling for GIS tasks in ArcGIS. On top of that, you will practice GIS & Remote Sensing by completing two independent GIS projects by exploring the power of Machine Learning and Deep Learning analysis in QGIS and ArcGIS.This course is different from other training resources. Each lecture seeks to enhance your GIS and Remote Sensing skills in a demonstrable and easy-to-follow manner and provide you with practically implementable solutions. You'll be able to start analyzing spatial data for your projects and gain appreciation from your future employers with your advanced GIS & Remote Sensing skills and knowledge of cutting-edge geospatial methods.The course is ideal for professionals such as geographers, programmers, social scientists, geologists, GIS & Remote Sensing experts, and all other experts who need to use maps in their field and would like to learn more about Machine Learning in GIS.One important part of the course is the practical exercises. You will be given some precise instructions and datasets to create maps based on Machine Learning algorithms using the QGIS and ArcGIS software tools.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Introduction to Geographic Information Systems (GIS)
Lecture 3 Introduction to Remote Sensing
Lecture 4 Applications of GIS and Remote Sensing
Section 2: Software used in this course: QGIS and ArcGIS 10.6 and ArcGIS Pro
Lecture 5 QGIS version information
Lecture 6 Installation of QGIS
Lecture 7 Semi-Automatic Classification Plugin for QGIS
Lecture 8 Intsalling plug-ins for QGIS
Section 3: On Machine Learning in GIS and Remote Sensing: theoretical background
Lecture 9 Introduction: Machine Learning
Lecture 10 On Machine Learning in GIS and Remote Sensing: theoretical background
Lecture 11 Supervised and Unsupervised Learning (classification) in GIS and Remote Sensing
Lecture 12 Lab: Image data acquisition in QGIS
Lecture 13 Common algorithms of image classification
Lecture 14 Land cover classification on the cloud using EO browser
Lecture 15 Regression Analysis
Lecture 16 Prediction in GIS and deep learning for Big Data Analysis
Section 4: Unsupervided Learning in ArcGIS
Lecture 17 Overview of Machine Learning for Image Classification in ArcGIS
Lecture 18 ArcGIS Software
Lecture 19 Unsupervised LULC image analysis in ArcGIS
Section 5: Unsupervided Learning in QGIS
Lecture 20 Installing OTB plug-in for QGIS
Lecture 21 Unsupervised (K-means) image analysis in QGIS
Section 6: Supervised Machine Learning for LULC Classification in ArcGIS
Lecture 22 Stages of LULC supervised classification
Lecture 23 Lab: Creating Training data in ArcMap 10.6
Lecture 24 Lab: Supervised image classification with Support Vector Machines in ArcGIS
Section 7: Supervised Machine Learning in QGIS
Lecture 25 Lab: Supervided Learning based on Maximum Likelihood Algorithm
Lecture 26 Creating Training data for LULC mapping in QGIS
Lecture 27 Lab: LULC with the use of Minimum Distance Classification Algorithm
Lecture 28 Accuracy assessment of the map in QGIS
Lecture 29 Lab: Validation data creation
Lecture 30 Lab: Accuracy Assessment of LULC map in QGIS
Lecture 31 Random Forest supervised classification of Sentinel-2 image in QGIS
Lecture 32 Comparison of Random Forest and Decision Trees Classifier resilts
Section 8: Image Segmentation in GIS
Lecture 33 Principles of image segmentation for GIS and Remote Sensing analysis
Lecture 34 Lab: Downloading image data for segmentation analysis
Lecture 35 Lad: Perform Image Segmentation in ArcGIS
Lecture 36 Lab: Segmentation of satellite image in QGIS
Section 9: Object-based Image classification with Machine Learning algorithms in ArcGIS
Lecture 37 Object-based image classification (OBIA) VS pixel-based image classification
Lecture 38 Creating training data for object-based image classification in ArcGIS
Lecture 39 Object-based image classification (OBIA) in ArcGIS
Section 10: Regression modelling in GIS
Lecture 40 Regression Model: theory
Lecture 41 OSL modelling in GIS
Lecture 42 OSL modelling in ArcGIS
Section 11: Getting started with Deep learning in ArcGIS Pro
Lecture 43 Deep Learning in ArcGIS Pro
Lecture 44 Introduction to neural networks
Lecture 45 Deep learning in ArcGIS Pro: an overview
Lecture 46 Getting started with Deep learning in ArcGIS Pro
Section 12: Hands-on: Deep Learning in ArcGIS Pro
Lecture 47 Software used in this section: ArcGIS Pro
Lecture 48 Training data creation for convolutional (or deep) neural network (CNN)
Lecture 49 Lab: Image preparation for deep learning in ArcGIS Pro
Lecture 50 Lab: Training data creation for neural network in ArcGIS PRO 2.5
Lecture 51 Lab: Install deep learning frameworks for ArcGIS
Lecture 52 Deep Learning (CNN) model definition in ArcGIS PRO
Lecture 53 Lab: Deep Learning (CNN) model definition in ArcGIS PRO
Lecture 54 Apply deep learning model for object detection or image classification
Lecture 55 Lab: Detect image object with CNN (deep learning model) in ArcGIS Pro
Lecture 56 Summary
Section 13: Make it real: Implement your own Machine Learning Project
Lecture 57 Project 1: Supervised Learning for classification of Landsat data in QGIS
Lecture 58 Project 2: Deep Learning in ArcGIS Pro
Lecture 59 BONUS
The course is ideal for professionals such as geographers, programmers, social scientists, geologists, and all other experts who need to use maps in their field and would like to learn more about geospatial (GIS & Remote Sensing) analysis.

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The Ultimate - Electrical Circuits ( Module - 2 )
Last updated 1/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 14.61 GB | Duration: 11h 13m

Network Theory , Circuit Theory , Engineering Circuit Analysis


What you'll learn
Be able to learn the Basic concepts of AC circuits
Be able to solve AC circuits problems
Be able to design Basic AC circuits and Networks
understand the concepts of Network Theorems and Solving Problems
Requirements
Basic Electrical circuits concept like mesh analysis and Nodal Analysis
Basic concept from Mathematics

Description
To develop problem solving skills and understanding of circuit theory through the application of techniques.To understand how voltage , current and power from given circuit.This course deals with AC circuits and Network Theorems.This subject is used all electrical and electronic circuits subject to sole the circuits.To understand all network theorems and applications.To design Filters and tuned circuits.What you will learn :Different Types of SignalsVoltage and Current relations in passive elementsSeries RLC CircuitsParallel RLC CircuitsResonanceLaplace Transform Analysis CircuitsNETWORK THEOREMS ( SUPER POSITION THEOREM )NETWORK THEOREMS ( THEVENIN 'S AND NORTAN'S)Important information before you enroll!If you find the course useless for your career, don't forget you are covered by a 30-day money back guarantee.Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).You will have instant and free access to any updates I'll add to the course - video lectures, additional resources, quizzes, exercises.You will benefit from my full support regarding any question you might have, This is not just a programming course, You will play with signals and systems.Check out the promo video at the top of this page and some of the free preview lectures in the curriculum to get a taste of my teaching style and methods before making your decision
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Complex signals representations
Lecture 3 Complex signal representation - 01
Lecture 4 Sinusoidal Signal Representation
Lecture 5 Sinusoidal Signal Representation -01
Lecture 6 Sinusoidal Signal Representation -02
Lecture 7 Square Waveform Representation
Lecture 8 Triangular Waveform Representation
Lecture 9 Average and RMS values from AC circuits
Lecture 10 Form Factor and Peak Factor
Lecture 11 Average and RMS values of sinusoidal signal
Lecture 12 Average and RMS values of sinusoidal signal - 01
Lecture 13 Average and RMS values of Other signals
Lecture 14 Problems on AVG and RMS
Section 2: Voltage and Current relations in passive elements
Lecture 15 Introduction
Lecture 16 V and I relation in resistor
Lecture 17 Power in pure resistor
Lecture 18 AC Source across Pure Inductor
Lecture 19 AC Source across Pure Capacitor
Section 3: Series RLC circuits
Lecture 20 V and I relations in R,L,C parameters
Lecture 21 RL series Circuit
Lecture 22 Power in AC circuits
Lecture 23 RC series Circuit
Lecture 24 RLC series Circuit
Lecture 25 Problems on RLC series Circuit
Lecture 26 Problems on RLC series Circuit - 1
Lecture 27 Assignment - 1
Section 4: Parallel RLC Circuits
Lecture 28 PARALLEL RL CIRCUIT
Lecture 29 PARALLEL RC CIRCUIT
Lecture 30 Parallel RLC Circuits
Lecture 31 Problems on RLC circuits -03
Section 5: RESONANCE
Lecture 32 Introduction
Lecture 33 Introduction - 1
Lecture 34 Series Resonance Circuit
Lecture 35 Series Resonance Circuit - 1
Lecture 36 Impedance and frequency relation
Lecture 37 Quality Factor and Bandwidth of RLC circuit
Lecture 38 Power factor and frequency relation in series RLC circuit
Lecture 39 Problems on series resonance circuits
Lecture 40 Problems on series resonance circuits -1
Lecture 41 Problems on series resonance circuits -2
Lecture 42 Parallel Resonance circuit
Lecture 43 Problems on Resonance circuits
Section 6: Laplace Transform Analysis Circuits
Lecture 44 LAPLACE TRANSFORM INTRODUCTION
Lecture 45 Series RC Circuits
Lecture 46 Series RC and RL Circuits
Lecture 47 Problems on Filters
Lecture 48 Step Response of RC Circuit
Lecture 49 Second Order Systems -01
Lecture 50 Responses of Second Order Systems
Lecture 51 Parallel RLC Circuits Responses
Lecture 52 Problems on RLC circuits
Lecture 53 Problems on RLC circuits - 01
Lecture 54 Problems on RLC circuits - 02
Lecture 55 Assignment - 2
Lecture 56 Assignment - 2_Solutions
Section 7: NETWORK THEOREMS ( SUPER POSITION THEOREM )
Lecture 57 Introduction - Superposition Theorems
Lecture 58 Super Position Theorem - Lecture-01
Lecture 59 Super Position Theorem - Lecture-02
Lecture 60 Super Position Theorem - Lecture-03
Lecture 61 Super Position Theorem - Lecture-04
Lecture 62 Super Position Theorem - Lecture-05
Lecture 63 Super Position Theorem - Lecture-06
Lecture 64 Super Position Theorem - Lecture-07
Lecture 65 Super Position Theorem - Lecture-09
Section 8: NETWORK THEOREMS ( THEVENIN 'S AND NORTAN'S)
Lecture 66 THEVENINS AND NORTON'S THEOREM INTRODUCTION
Lecture 67 PROBLEMS ON THEOREMS - 01
Lecture 68 PROBLEMS ON THEOREMS - 02
Lecture 69 PROBLEMS ON THEOREMS - 03
Lecture 70 THEVENIN'S THEOREM_Problem01
Lecture 71 THEVENIN'S THEOREM_Problem02
Lecture 72 THEVENIN'S THEOREM_Problem04
Lecture 73 THEVENIN'S THEOREM_Problem05
Lecture 74 Maximum Power Transfer theorem
Lecture 75 Maximum Power Transfer theorem -01
Lecture 76 Maximum Power Transfer theorem -03
Lecture 77 Maximum Power Transfer theorem -02
Lecture 78 MILLMAN'S THEOREM
Lecture 79 MILLMAN'S THEOREM -01
Lecture 80 DUALITY THEOREM
Lecture 81 TELLEGEN'S THEOREM_0
Lecture 82 TELLEGEN'S THEOREM
Lecture 83 RECIPROCITY THEOREM
Lecture 84 RECIPROCITY THEOREM - 01
Lecture 85 RECIPROCITY THEOREM - 02
Lecture 86 Assignment - 3
Lecture 87 Assignment - 4
Lecture 88 Assignment - 5
Lecture 89 Assignment - 3_Solutions
Lecture 90 Assignment - 4_Solutions
Lecture 91 Assignment - 5_Solutions
GATE ECE students,University students for academics,Beginners for this subject,For all competitive exams

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Linear Integrated Circuits And Applications : For All Levels
Last updated 2/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 9.26 GB | Duration: 7h 6m

Applications of Operational Amplifiers, Analog Multiplier and Timer.


What you'll learn
Contents deal with the basic concepts of operational amplifier, linear & non-linear application of OP-AMP.
It covers design and analysis of frequency selective and tuning circuits like oscillators, active filters and its use for communication applications.
Along with switching applications like that of comparators, course content finds a due scope to learn IC based design of voltage regulators.
Understand and design the basic circuits using op-amp and perform operations and their troubleshooting.
Analyze the responses of IC based designed circuits in the area of signal conditioning, analog and digital communication.
Requirements
Knowledge of basic electronics engineering, electronic circuits and applications.

Description
__________________________________________________ ______________***** Visit my website for better offers in Instructor profile *****|--------------------------------------------------------------------------------------------------------|This course gives the easy understanding of Applications of Operational Amplifiers. This course deals with ANALOG MULTIPLIER AND TIMER of the system , ANALOG TO DIGITAL AND DIGITAL TO ANALOG CONVERTERS. At end of the course, students will be able to:Differentiate IC and Discrete components, understand manufacturing process of IC and analyze how monolithic components are being developed.Identify different configurations of op-amp analyze the parameters of op-amp and observe the frequency response of operational-amplifier.Understand & demonstrate different applications based on operational-amplifier.Understand analog multiplier and Timer & demonstrate different applications based on it.Differentiate A/D and D/A converter, understand their types and analyze their applications.Demonstrate the applications of waveform generators, timers and voltage regulators.Important information before you enroll!If you find the course useless for your career, don't forget you are covered by a 30-day money back guarantee.Once enrolled, you have unlimited, 24/7, lifetime access to the course (unless you choose to drop the course during the first 30 days).You will have instant and free access to any updates I'll add to the course - video lectures, additional resources, quizzes, exercises.You will benefit from my full support regarding any question you might have.Check out the promo video at the top of this page and some of the free preview lectures in the curriculum to get a taste of my teaching style and methods before making your decision
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Op-AMP Introduction
Lecture 3 Ideal & Practical Characteristics of OP-AMP
Lecture 4 OP-AMP Block Diagram
Lecture 5 Types of IC's
Lecture 6 741 IC PIN DIAGRAM
Lecture 7 OP-AMP EQU
Lecture 8 OP-AMP EQU1
Lecture 9 OP-AMP EQU2
Section 2: 2. OPERATING MODES OF OP_AMP
Lecture 10 Operating modes of OP-AMP
Lecture 11 Inverting Mode Operation
Lecture 12 Non_Inverting mode Operation_1
Lecture 13 Non_Inverting mode Operation_2
Lecture 14 Differential Mode operation
Lecture 15 Differential Mode operation_1
Lecture 16 Voltage_follower
Lecture 17 Instrumentation Amplifier
Lecture 18 Instrumentation AMP.
Section 3: 3 . APPLICATIONS OF OP-AMP
Lecture 19 Summing Amplifier
Lecture 20 OP-AMP as Integrator
Lecture 21 OP-AMP as Integrator.2
Lecture 22 Practical Integrator using OP-AMP
Lecture 23 Practical_Differentiator using OP-AMP
Lecture 24 LOG Amplifier using OP-AMP
Section 4: 4. ACTIVE FILTERS
Lecture 25 Active Filters introduction
Lecture 26 Low Pass Filter using OP-AMP
Lecture 27 High Pass Filter using OP-AMP
Lecture 28 Band Pass Filter using OP-AMP
Lecture 29 Band Stop Filter using OP-AMP
Section 5: 5. Open loop mode operation of OP-AMP
Lecture 30 Comparator circuit using OP-AMP
Lecture 31 Comparator circuit using OP-AMP
Lecture 32 Applications of comparator
Lecture 33 Schmitt trigger using OP-AMP
Lecture 34 Schmitt trigger using OP-AMP-1
Section 6: 6. Problems on OP-AMP
Lecture 35 Problems on OP-AMP
Lecture 36 LOG Amplifier using OP-AMP
Lecture 37 HWR ( Half Wave Rectifier) using OP-AMP
Lecture 38 FWR (Full Wave Rectifier) using OP-AMP
Lecture 39 FWR (Full Wave Rectifier-1) using OP-AMP
Section 7: 7. ADC & DAC ( Analog to Digital and Digital to Analog converters )
Lecture 40 Introduction to ADC/DAC
Lecture 41 Characteristics of DAC
Lecture 42 Characteristics of DAC.1
Lecture 43 Problems on DAC & Characteristics of ADC
Lecture 44 Counter Type ADC
Lecture 45 SAR Type ADC
Lecture 46 Flash Type ADC
Lecture 47 Dual Slope ADC ( Integrating type ADC)
Lecture 48 Weighted Resistor Type DAC
Lecture 49 R - 2R Ladder Type DAC
Section 8: 8. 555 TIMER IC
Lecture 50 Block Diagram of 555 TIMER IC
Lecture 51 Mono stable mode of 555 TIMER IC
Lecture 52 Astable Mode of 555 TIMER IC
Electrical, Communication, Instrumentation Students.,GATE, PSU Aspirants and for all competitive exams related to electronics.,For all Academic Students.

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