Senior Professional In Human Resources International | Sphri
Senior Professional In Human Resources International | Sphri
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.57 GB | Duration: 20h 0m
Master Global HR Strategies and Leadership for SPHRi Certification: Cross-Border Employment, Talent, and Compliance
What you'll learn
Understanding the SPHRi certification process - Learn about the structure, benefits, and career advancement opportunities associated with SPHRi certification.
Key competencies for global HR professionals - Gain insight into the essential skills and competencies required for effective HR leadership in an international
Aligning HR strategy with organizational goals - Understand how to develop HR strategies that align with global business objectives and drive organizational suc
Strategic workforce planning in global contexts - Explore techniques for planning and managing a global workforce, ensuring alignment with business goals during
Navigating cross-border employment laws - Learn about international labor laws, agreements, and compliance strategies for managing legal risks across multiple j
Understanding international labor standards - Get familiar with core labor rights, enforcement mechanisms, and the global application of labor standards to ensu
Developing effective global talent acquisition strategies - Discover methods for recruiting and selecting candidates for international roles, and leveraging tec
Managing global talent development and retention - Learn to design and implement global talent development programs, ensuring retention and succession planning
Expatriate management and global mobility policies - Understand how to design expatriate assignments, support expatriates and their families, and manage legal a
Cultural competence in HR practices - Gain insights into managing multicultural teams, cross-cultural communication, and promoting diversity, equity, and inclus
Strategic global compensation and benefits packages - Learn to design compensation and benefits strategies that are both globally consistent and locally relevan
Global HR compliance frameworks - Understand the complexities of global HR compliance, including privacy, data protection, anti-corruption laws, and managing in
Leveraging technology for global HR operations - Learn how to implement and utilize HR Information Systems (HRIS) to streamline global HR processes and enhance
Global workforce safety and wellbeing - Explore global safety regulations, crisis management, and the development of international occupational health and safet
Emerging trends and future challenges in global HR - Understand how AI, technology, and global economic and political changes are impacting the future of work a
Data-driven decision-making in global HR strategy - Learn how to use analytics to inform strategic decisions related to workforce planning and optimization on a
Requirements
No Prerequisites.
Description
The SPHRi certification is designed for seasoned HR professionals seeking to enhance their strategic leadership skills and global HR expertise. This course provides comprehensive coverage of the core competencies required for HR professionals to thrive in an international context. It is tailored to professionals aiming to elevate their knowledge of cross-border employment laws, international labor standards, global talent acquisition, and HR strategies in diverse cultural settings. While the focus is primarily theoretical, it offers students a deep understanding of the complexities and nuances of global human resources management. Through a structured learning path, students will gain the knowledge necessary to succeed in the SPHRi certification exam and apply these insights to real-world HR challenges.At the heart of this course is the alignment of HR strategies with broader organizational goals. Strategic workforce planning, global HR initiatives, and business continuity are essential components covered to prepare students to manage human resources on a global scale. Students will learn how to develop and execute HR initiatives that align with organizational priorities, ensuring that workforce planning not only supports growth but also mitigates risks in diverse international environments. The course delves into how HR professionals can leverage strategic planning to create a coherent and effective HR strategy that aligns with business continuity and the long-term success of multinational organizations.The course also explores the intricate web of cross-border employment laws and regulations, which is essential for HR professionals working in a global context. Students will learn about international labor agreements, legal risks associated with managing a global workforce, and how to navigate employment contracts across multiple jurisdictions. The course will also provide a thorough examination of cross-cultural legal considerations, emphasizing the importance of cultural sensitivity and legal compliance in a diverse workforce. This knowledge will empower HR leaders to ensure that their organizations operate within the bounds of local laws while maintaining global consistency in their HR practices.A key focus of the course is global talent acquisition and management. Recruitment strategies for international roles, employer branding, and the selection process for cross-border employees are thoroughly explored. The course emphasizes the strategic use of technology in global recruitment, ensuring that HR professionals are equipped with the tools necessary to navigate the increasingly digital landscape of international HR. Furthermore, students will gain insights into developing a global employee value proposition that resonates across different cultural contexts, which is crucial for retaining top talent in competitive global markets.The course also covers expatriate management, an essential area of global HR. Students will learn how to design effective expatriate assignments, manage global mobility policies, and support expatriates and their families throughout their international assignments. Additionally, the course addresses the often-overlooked aspect of repatriation, offering best practices for reintegrating expatriates into their home countries after completing international assignments. This section provides a detailed understanding of the legal and tax considerations unique to expatriates, which is vital for ensuring compliance and a smooth transition for employees and organizations alike.In the final sections, the course shifts focus to the importance of cultural competency in HR practices. Understanding and managing cultural differences is key to leading multinational teams effectively. The course will guide students in developing cultural competence, managing multicultural teams, and promoting diversity, equity, and inclusion across global organizations. Students will gain the skills needed to foster cross-cultural communication and inclusivity, ensuring that HR leaders can create a harmonious and productive work environment in any cultural context.Overall, this course provides students with a robust theoretical foundation in global human resource management. While practical applications may vary by organization, the course equips HR professionals with the strategic knowledge and insights needed to lead global HR initiatives, navigate complex international labor landscapes, and develop workforce strategies that align with business objectives in today's global economy. Through this comprehensive learning experience, students will be well-prepared to succeed in the SPHRi certification exam and advance their careers in global HR leadership.
Overview
Section 1: Course Resources and Downloads
Lecture 1 Course Resources and Downloads
Section 2: Introduction to SPHRi Certification
Lecture 2 Section Introduction
Lecture 3 Overview of SPHRi Certification
Lecture 4 Case Study: SPHRi Certification
Lecture 5 Key Competencies for Global HR Professionals
Lecture 6 Case Study: Global HR Mastery
Lecture 7 Understanding the Exam Structure
Lecture 8 Case Study: Strategic Preparation for SPHRi Certification
Lecture 9 Certification Benefits and Career Advancement
Lecture 10 Case Study: Maria Lopez's Path to Career Growth
Lecture 11 Preparing for the SPHRi Exam
Lecture 12 Case Study: Strategic Preparation for SPHRi Certification
Lecture 13 Section Summary
Section 3: Global HR Strategy
Lecture 14 Section Introduction
Lecture 15 Aligning HR Strategy with Organizational Goals
Lecture 16 Case Study: Strategic HR Alignment
Lecture 17 Strategic Workforce Planning in Global Contexts
Lecture 18 Case Study: Global Expansion and Workforce Alignment
Lecture 19 Developing Global HR Initiatives
Lecture 20 Case Study: Global HR Strategies
Lecture 21 HR's Role in Business Continuity and Risk Management
Lecture 22 Case Study: HR's Strategic Role
Lecture 23 Leadership and Strategy in International HR
Lecture 24 Case Study: Global HR Leadership
Lecture 25 Section Summary
Section 4: Cross-Border Employment Laws
Lecture 26 Section Introduction
Lecture 27 Introduction to Cross-Border Employment Regulations
Lecture 28 Case Study: Managing Cross-Border Employment
Lecture 29 International Labor Laws and Agreements
Lecture 30 Case Study: Navigating International Labor Laws
Lecture 31 Managing Legal Risks in Global HR
Lecture 32 Case Study: Navigating Global HR Legal Challenges
Lecture 33 Navigating Employment Contracts Across Jurisdictions
Lecture 34 Case Study: Strategic Management of Employment Contracts
Lecture 35 Cross-Cultural Legal Considerations
Lecture 36 Case Study: Managing GlobalTech's Workforce
Lecture 37 Section Summary
Section 5: International Labor Standards
Lecture 38 Section Introduction
Lecture 39 Overview of International Labor Standards
Lecture 40 Case Study: Ensuring Fair Labor Practices
Lecture 41 Core Labor Rights and Their Global Application
Lecture 42 Case Study: Ensuring Core Labor Rights
Lecture 43 Enforcement Mechanisms for Labor Standards
Lecture 44 Case Study: Enhancing Labor Standards in Bangladesh
Lecture 45 Human Rights in Global Employment Practices
Lecture 46 Case Study: Corporate Accountability and Labor Rights
Lecture 47 Monitoring and Reporting Compliance
Lecture 48 Case Study: Enhancing Compliance
Lecture 49 Section Summary
Section 6: Global Talent Acquisition
Lecture 50 Section Introduction
Lecture 51 Recruitment Strategies for International Roles
Lecture 52 Case Study: TechNova's Comprehensive Global Recruitment Strategy
Lecture 53 Employer Branding in Global Markets
Lecture 54 Case Study: Global Employer Branding
Lecture 55 Selection Processes for Cross-Border Employees
Lecture 56 Case Study: Strategic Talent Acquisition for Global Success
Lecture 57 Leveraging Technology in Global Recruitment
Lecture 58 Case Study: GlobalTech Solutions
Lecture 59 Developing a Global Employee Value Proposition
Lecture 60 Case Study: Crafting a Global EVP
Lecture 61 Section Summary
Section 7: Talent Management in Global Organizations
Lecture 62 Section Introduction
Lecture 63 Designing Global Talent Development Programs
Lecture 64 Case Study: Strategic Global Talent Development
Lecture 65 Managing International Performance and Retention
Lecture 66 Case Study: Strategies for Effective International Talent Management
Lecture 67 Career Pathing for a Global Workforce
Lecture 68 Case Study: Global Career Pathing
Lecture 69 Succession Planning Across Borders
Lecture 70 Case Study: Navigating Global Leadership Transitions
Lecture 71 Leadership Development for Multinational Teams
Lecture 72 Case Study: Leadership and Cultural Intelligence
Lecture 73 Section Summary
Section 8: Expatriate Management
Lecture 74 Section Introduction
Lecture 75 Designing Expatriate Assignments
Lecture 76 Case Study: Strategic Design and Success Factors of Expatriate Assignments
Lecture 77 Global Mobility Policies and Procedures
Lecture 78 Case Study: Efficient Global Mobility Strategies
Lecture 79 Supporting Expatriates and Their Families
Lecture 80 Case Study: Holistic Expatriate Management
Lecture 81 Repatriation Strategies and Best Practices
Lecture 82 Case Study: Enhancing Repatriation
Lecture 83 Legal and Tax Considerations for Expatriates
Lecture 84 Case Study: Navigating International Assignments
Lecture 85 Section Summary
Section 9: Cultural Competency in HR
Lecture 86 Section Introduction
Lecture 87 Understanding Cultural Differences in HR Practices
Lecture 88 Case Study: Cultural Adaptation Strategies for Effective International HR
Lecture 89 Managing Multicultural Teams
Lecture 90 Case Study: Leveraging Multicultural Teams
Lecture 91 Developing Cultural Competence for HR Leaders
Lecture 92 Case Study: Cultural Competence in HR
Lecture 93 Promoting Diversity, Equity, and Inclusion Globally
Lecture 94 Case Study: GlobalTech's Global DEI Initiative
Lecture 95 Cross-Cultural Communication in HR
Lecture 96 Case Study: Enhancing Cross-Cultural Communication in HR
Lecture 97 Section Summary
Section 10: Total Rewards in Global Contexts
Lecture 98 Section Introduction
Lecture 99 Designing Compensation Packages for International Employees
Lecture 100 Case Study: Global Compensation Strategies
Lecture 101 International Benefits and Perks Strategies
Lecture 102 Case Study: Global Benefits Strategies
Lecture 103 Equity Compensation in Multinational Companies
Lecture 104 Case Study: Designing a Global Equity Compensation Plan
Lecture 105 Incentive Programs for Global Talent
Lecture 106 Case Study: Strategic Incentive Programs for Global Talent Management
Lecture 107 Recognition Programs Across Cultures
Lecture 108 Case Study: Culturally Attuned Recognition Strategies
Lecture 109 Section Summary
Section 11: International HR Compliance and Ethics
Lecture 110 Section Introduction
Lecture 111 Global HR Compliance Frameworks
Lecture 112 Case Study: GlobalTech's Strategic Approach to Navigating Global HR
Lecture 113 Ethical Practices in International HR
Lecture 114 Case Study: Implementing Ethical HR Practices in Multinational Corporations
Lecture 115 Managing International Audits and Investigations
Lecture 116 Case Study: GlobalTech's HR Strategy
Lecture 117 Compliance with Anti-Corruption Laws
Lecture 118 Case Study: GlobalTech Inc.'s Strategic Response to Anti-Corruption Allegations
Lecture 119 Privacy and Data Protection in Global HR
Lecture 120 Section Summary
Section 12: Global Workforce Planning
Lecture 121 Section Introduction
Lecture 122 Forecasting Global Talent Needs
Lecture 123 Case Study: Strategic Workforce Planning for Global Expansion
Lecture 124 Managing Workforce Expansion and Reduction
Lecture 125 Case Study: Strategic Workforce Management
Lecture 126 Workforce Planning During Mergers and Acquisitions
Lecture 127 Case Study: Optimizing Human Capital Integration
Lecture 128 Aligning Workforce Plans with Business Strategy
Lecture 129 Case Study: Strategic Workforce Planning
Lecture 130 Data-Driven Decision Making in Global Workforce Planning
Lecture 131 Case Study: Leveraging Data-Driven Decision Making
Lecture 132 Section Summary
Section 13: Performance Management in International Contexts
Lecture 133 Section Introduction
Lecture 134 Creating Global Performance Metrics
Lecture 135 Case Study: Creating Global Performance Metrics
Lecture 136 Aligning Performance with Organizational Goals
Lecture 137 Case Study: Aligning Global Employee Performance with Strategic Goals
Lecture 138 Providing Feedback Across Cultures
Lecture 139 Case Study: Navigating Cross-Cultural Feedback
Lecture 140 Managing Performance Improvement Plans
Lecture 141 Case Study: Effective PIP Management
Lecture 142 Global Approaches to Employee Evaluations
Lecture 143 Case Study: Harmonizing Global Employee Evaluations
Lecture 144 Section Summary
Section 14: HR Information Systems and Technology
Lecture 145 Section Introduction
Lecture 146 Implementing Global HR Information Systems (HRIS)
Lecture 147 Case Study: Global HRIS Implementation at Tech Global Inc.
Lecture 148 Leveraging Technology for International HR Operations
Lecture 149 Case Study: GlobalTech Solutions
Lecture 150 Digital Transformation in Global HR
Lecture 151 Case Study: Transforming Global HR
Lecture 152 Managing HR Data Privacy and Security
Lecture 153 Case Study: Enhancing HR Data Security and Privacy at TechNova
Lecture 154 Utilizing Analytics in Global HR Strategy
Lecture 155 Case Study: Optimizing Global Workforce Management
Lecture 156 Section Summary
Section 15: Employee Safety and Wellbeing Globally
Lecture 157 Section Introduction
Lecture 158 Global Safety Regulations and Standards
Lecture 159 Case Study: Enhancing Global Workplace Safety
Lecture 160 Promoting Employee Wellbeing Internationally
Lecture 161 Case Study: Enhancing Employee Wellbeing
Lecture 162 Crisis Management and Business Continuity Planning
Lecture 163 Case Study: Crisis Management and Business Continuity
Lecture 164 Occupational Health and Safety Across Borders
Lecture 165 Case Study: Global Strategies for Navigating OHS Challenges
Lecture 166 Developing Global Safety Programs
Lecture 167 Case Study: Implementing Global Safety Programs
Lecture 168 Section Summary
Section 16: Global HR Trends and Future Challenges
Lecture 169 Section Introduction
Lecture 170 Emerging Trends in Global HR Management
Lecture 171 Case Study: Transforming Global HR
Lecture 172 The Impact of AI and Technology on International HR
Lecture 173 Case Study: Transforming Global HR
Lecture 174 Adapting to Global Economic and Political Changes
Lecture 175 Case Study: Navigating Global Transformations
Lecture 176 The Future of Work: Remote and Distributed Teams
Lecture 177 Case Study: TechNova's Remote Work Revolution
Lecture 178 Sustainable HR Practices in a Global Context
Lecture 179 Case Study: Technogreen's Sustainable HR Transformation
Lecture 180 Section Summary
Section 17: Course Summary
Lecture 181 Conclusion
HR professionals seeking global certification - Individuals looking to achieve the SPHRi certification and elevate their career in international human resources management.,Experienced HR leaders - Seasoned HR professionals who want to expand their expertise in cross-border employment laws, global HR strategies, and managing international teams.,Aspiring global HR managers - HR practitioners who are aiming to take on leadership roles in multinational organizations and develop skills in managing global talent and compliance.,Expatriate and global mobility specialists - Professionals involved in expatriate assignments, global mobility policies, and supporting international workforce transitions.,Corporate leaders expanding into international markets - Executives and managers involved in workforce planning, talent acquisition, and HR strategy development for global business expansion.,Diversity, equity, and inclusion advocates - HR professionals interested in promoting cultural competence, managing multicultural teams, and fostering inclusive work environments on a global scale.,HR consultants and advisors - Specialists offering guidance to multinational companies on global HR compliance, labor standards, and best practices in international workforce management.
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Simplified Machine Learning End To End™
Simplified Machine Learning End To End™
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.01 GB | Duration: 7h 15m
With Case Study This comprehensive course offers an in-depth journey into Machine Learning and Data Science
What you'll learn
Introduction to Machine Learning:- Understand the basics and types of Machine Learning.
ML Unsupervised Learning:- Learn the concepts and techniques of Unsupervised Learning.
Supervised Learning - Regression:- Master regression models for predicting continuous outcomes.
Evaluation Metrics for Regression Model:- Evaluate regression models using metrics like MSE, RMSE, and R-squared.
Supervised Learning - Classification in Machine Learning:- Learn classification algorithms for categorical predictions.
Supervised Learning - Decision Trees:- Understand how Decision Trees work for classification and regression.
Unsupervised Learning - Clustering:- Explore clustering techniques to group data points.
Unsupervised Learning - DBSCAN Clustering: Apply the DBSCAN algorithm for density-based clustering.
Unsupervised Learning - Dimensionality Reduction:- Learn techniques to reduce data dimensions while retaining key information.
Unsupervised Learning - Dimensionality Reduction with t-SNE:- Use t-SNE for visualizing high-dimensional data in a reduced form.
Model Evaluation and Validation Techniques:- Understand model validation methods like cross-validation.
Model Evaluation - Bias-Variance Tradeoffs:- Learn to balance bias and variance for improved model performance.
Introduction to Python Libraries for Data Science:- Get familiar with key Python libraries such as NumPy, Pandas, and Scikit-learn.
Introduction to Python Libraries for Data Science:- Explore advanced Python libraries used in data analysis and machine learning.
Introduction to R Libraries for Data Science:- Learn essential R libraries for data manipulation and modeling.
Introduction to R Libraries for Data Science Statistical Modeling:- Apply statistical modeling using R's powerful libraries.
Requirements
Basic Understanding of Mathematics Familiarity with linear algebra, probability, and statistics is helpful.
Basic Analytical and Problem-Solving Skills Ability to think critically and solve complex problems.
Anyone can learn this class it is very simple.
Description
This comprehensive course offers an in-depth journey into Machine Learning and Data Science, designed to equip students with the skills needed to build and evaluate models, interpret data, and solve real-world problems. The course covers both Supervised and Unsupervised Learning techniques, with a strong focus on practical applications using Python and R.Students will explore essential topics like Regression, Classification, Clustering, and Dimensionality Reduction, alongside key model evaluation techniques, including the Bias-Variance Tradeoff and cross-validation. The course also includes an introduction to powerful libraries such as NumPy, Pandas, Scikit-learn, and t-SNE, along with statistical modeling in R.Whether you're a beginner or looking to enhance your knowledge in Machine Learning, this course provides the foundation and advanced insights necessary to master data science tools and methods, making it suitable for aspiring data scientists, analysts, or AI enthusiasts.Introduction to Machine Learning:- Understand the basics and types of Machine Learning.ML Unsupervised Learning:- Learn the concepts and techniques of Unsupervised Learning.Supervised Learning - Regression:- Master regression models for predicting continuous outcomes.Evaluation Metrics for Regression Model:- Evaluate regression models using metrics like MSE, RMSE, and R-squared.Supervised Learning - Classification in Machine Learning:- Learn classification algorithms for categorical predictions.Supervised Learning - Decision Trees:- Understand how Decision Trees work for classification and regression.Unsupervised Learning - Clustering:- Explore clustering techniques to group data points.Unsupervised Learning - DBSCAN Clustering: Apply the DBSCAN algorithm for density-based clustering.Unsupervised Learning - Dimensionality Reduction:- Learn techniques to reduce data dimensions while retaining key information.Unsupervised Learning - Dimensionality Reduction with t-SNE:- Use t-SNE for visualizing high-dimensional data in a reduced form.Model Evaluation and Validation Techniques:- Understand model validation methods like cross-validation.Model Evaluation - Bias-Variance Tradeoffs:- Learn to balance bias and variance for improved model performance.Introduction to Python Libraries for Data Science:- Get familiar with key Python libraries such as NumPy, Pandas, and Scikit-learn.Introduction to Python Libraries for Data Science:- Explore advanced Python libraries used in data analysis and machine learning.Introduction to R Libraries for Data Science:- Learn essential R libraries for data manipulation and modeling.Introduction to R Libraries for Data Science Statistical Modeling:- Apply statistical modeling using R's powerful libraries.Courtesy,Dr. FAK Noble Ai Researcher, Scientists, Product Developer, Innovator & Pure Consciousness ExpertFounder of Noble Transformation Hub TM
Overview
Section 1: Introduction to Machine Learning
Lecture 1 Introduction to Machine Learning
Section 2: ML Unsupervised Learning
Lecture 2 ML Unsupervised Learning
Section 3: Supervised Learning- Regression
Lecture 3 Supervised Learning- Regression
Section 4: Evaluation Metrics for Regression Model
Lecture 4 Evaluation Metrics for Regression Model
Section 5: Supervised Learning- Classification in Machine Learning
Lecture 5 Supervised Learning- Classification in Machine Learning
Section 6: Supervised Learning- Decision Trees
Lecture 6 Supervised Learning- Decision Trees
Section 7: Unsupervised Learning- Clustering
Lecture 7 Unsupervised Learning- Clustering
Section 8: Unsupervised Learning DBSCAN Clustering
Lecture 8 Unsupervised Learning DBSCAN Clustering
Section 9: Unsupervised Learning- Dimensionality Reduction
Lecture 9 Unsupervised Learning- Dimensionality Reduction
Section 10: Unsupervised Learning- Dimensionality Reduction with t-SNE
Lecture 10 Unsupervised Learning- Dimensionality Reduction with t-SNE
Section 11: Model Evaluation and Validation Techniques
Lecture 11 Model Evaluation and Validation Techniques
Section 12: Model Evaluation- Bias-Variance Tradeoffs
Lecture 12 Model Evaluation- Bias-Variance Tradeoffs
Section 13: Introduction to Python Libraries for Data Science
Lecture 13 Introduction to Python Libraries for Data Science
Section 14: Introduction to Python Libraries for Data Science
Lecture 14 Introduction to Python Libraries for Data Science
Section 15: Introduction to R Libraries for Data Science
Lecture 15 Introduction to R Libraries for Data Science
Section 16: Introduction to R Libraries for Data Science Statistical Modeling
Lecture 16 Introduction to R Libraries for Data Science Statistical Modeling
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.
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Simplifie Sql Data Science For Data Scientist - Aiml Tm
Simplifie Sql Data Science For Data Scientist - Aiml Tm
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.31 GB | Duration: 4h 6m
Real time Case Study
What you'll learn
Data Science Session:- Understand the foundational concepts and workflow of data science.
Data Science Session 2:- Dive deeper into key data science techniques and processes.
Data Science vs Traditional Analysis:- Learn the differences between data science methods and traditional data analysis.
Data Scientist:- Explore the role, responsibilities, and skills required to be a successful data scientist.
Introduction to SQL for Data Science:- Get familiar with SQL and its importance in data science for managing and querying data.
SQL Queries for Data Science:- Learn how to write basic SQL queries to manipulate and retrieve data.
SQL and Advanced Queries:- Understand more complex SQL queries for data analysis, including joins and subqueries.
Requirements
Basic Computer Skills:- Familiarity with using a computer and basic software applications.
No Prior SQL Experience Needed: This course is designed for beginners with no prior knowledge of SQL.
Description
The Introduction to SQL for Data Science - Data Scientist™ course is designed to equip students with essential SQL skills for managing and analyzing data in the context of data science. Whether you're new to SQL or looking to strengthen your data analysis skills, this course will guide you through the fundamentals and advanced techniques necessary to query and manipulate data effectively.Starting with basic SQL concepts, you'll learn how to write queries, retrieve information from databases, and work with large datasets. As you progress, the course covers more advanced SQL topics, including joins, subqueries, window functions, and query optimization. By the end, you'll understand how SQL integrates with data science workflows, enabling you to handle real-world data problems confidently.Ideal for aspiring data scientists, analysts, and professionals looking to add SQL to their skill set, this course will provide a solid foundation in data management and analysis with hands-on practice using SQL.Data Science Session:- Understand the foundational concepts and workflow of data science.Data Science Session 2:- Dive deeper into key data science techniques and processes.Data Science vs Traditional Analysis:- Learn the differences between data science methods and traditional data analysis.Data Scientist:- Explore the role, responsibilities, and skills required to be a successful data scientist.Introduction to SQL for Data Science:- Get familiar with SQL and its importance in data science for managing and querying data.SQL Queries for Data Science:- Learn how to write basic SQL queries to manipulate and retrieve data.SQL and Advanced Queries:- Understand more complex SQL queries for data analysis, including joins and subqueries.
Overview
Section 1: Data Science Session
Lecture 1 Data Science Session
Section 2: Data Science Session 2
Lecture 2 Data Science Session 2
Section 3: Data Science Vs Traditional Analysis
Lecture 3 Data Science Vs Traditional Analysis
Section 4: Data Scientist
Lecture 4 Data Scientist
Section 5: Introduction to SQL for Data Science
Lecture 5 Introduction to SQL for Data Science
Section 6: SQL Queries for Data Science
Lecture 6 SQL Queries for Data Science | AIML End-to-End Session 57
Section 7: SQL and Advanced Queries
Lecture 7 SQL and Advanced Queries
Section 8: SQL and Advanced Queries Part 2
Lecture 8 SQL and Advanced Queries Part 2
Anyone who wants to learn future skills and become Data Scientist, Ai Scientist, Ai Engineer, Ai Researcher & Ai Expert.
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Spanish Pronunciation for Gringos
Spanish Pronunciation for Gringos
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Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 38m | Size: 1.37 GB
Speak Spanish Naturally: Master Sounds, Syllables, and Rhythm Clearly
What you'll learn
Master the key sounds of Spanish pronunciation to speak with greater clarity and accuracy.
Improve fluency by applying correct pronunciation to real-life conversations.
Distinguish between tricky sounds like the rolled and soft "R", and the various uses of "LL", "Y", and "G".
Understand regional pronunciation differences across Latin America and Spain to communicate more effectively with native speakers.
Requirements
No prior experience is necessary. This course is designed for beginners and intermediate learners alike. All you need is an interest in improving your Spanish pronunciation. A willingness to practice and an open mind are the only tools you'll need to succeed!
Description
Struggling with Spanish pronunciation? Do you feel like your accent is getting in the way of truly connecting with native speakers and fully expressing yourself in Spanish? You're not alone, and that's exactly why this course was created-to help you overcome those challenges and feel confident speaking Spanish with ease.This course is specifically designed for English speakers who want to sound more natural and fluent in Spanish. We'll guide you through breaking down the key sounds, vowels, and pronunciation rules that will make your Spanish clearer, more accurate, and easily understood by native speakers. From mastering the infamous rolled "R" to getting a handle on tricky sounds like "LL" and "Y," you'll gain the knowledge and practice needed to significantly improve your fluency and confidence. You'll also learn valuable pronunciation tips that will make your conversations flow more naturally.Imagine yourself effortlessly ordering food, asking for directions, or engaging in conversations with native speakers without worrying about being misunderstood. By the end of this course, you'll feel much more assured in your Spanish-speaking abilities and be able to communicate effectively, whether you're traveling, living abroad, or simply practicing for personal growth.Are you ready to transform your Spanish pronunciation? Let's get started today, and begin your journey toward speaking Spanish with clarity, fluency, and confidence.
Who this course is for
This course is for English-speaking learners who want to improve their Spanish pronunciation, whether you're a complete beginner or someone with basic conversational skills looking to refine your accent. It's ideal for travelers, expats, or anyone interested in speaking Spanish more clearly and confidently. If you want to sound more natural when communicating in Spanish, this course is for you!
Homepage:
Code:
https://www.udemy.com/course/spanish-pronunciation-for-gringos/
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The No Nonsense Guide to Java Spring Boot
The No Nonsense Guide to Java Spring Boot
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Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 3m | Size: 1.4 GB
Go from Java Developer to Backend Engineer using Java 17 + mySQL
What you'll learn
Java Spring Boot
Controller, Service, Repository layers
Exception Handling & Reponses
Validation
Query String Parameters, @Query, Search
JDBC, JPA, Hibernate, Spring Data, ORMs
Unit Testing
Headers
Relational Mappings
Logging
Cache
External API Integration
Spring Security (Basic Auth)
Spring Security (JWTs - JSON Web Tokens)
Dependecy Injection
Spring Boot Actuator
Transactions & @Transactional
Dependency Injection, Inversion of Control, Spring Container
Requirements
Proficient in Java 8
Description
This comprehensive course is designed to transition Java developers into proficient backend engineers by mastering the essentials of Spring Boot. Unlike other courses that dive into complex concepts before covering the basics, this course follows a hands-on, real-world approach. We focus on building practical applications using live production code techniques, modern Java abstractions, and clear naming conventions commonly used in industry projects.You'll start by understanding how Spring Boot works before diving into the why-giving you the tools to build solid foundations before exploring advanced topics. Whether you're new to Spring Boot or looking to solidify your backend skills, this course offers a straightforward, no-nonsense guide that covers all the essential components needed for building scalable, production-ready applications.What You Will Learn:Controllers, Services, Repositories, and Entities: Understand the core building blocks of Spring Boot applications, including how to set up RESTful APIs, business logic layers, and data access layers.Database Integration with MySQL: Learn how to run MySQL queries, set up database connections, and work seamlessly with relational databases.Exception Handling & Custom Error Responses: Master best practices for handling errors, defining custom error responses, and returning meaningful error messages in production.Input Validation: Implement input validation to ensure data integrity, and protect against invalid requestsSpring Data JPA & Custom Queries: Explore query string parameters, custom query methods with @Query, and interact with databases using Spring Data JPA.JDBC, JPA, and Hibernate: Learn the differences between JDBC and JPA, understand ORM (Object Relational Mapping) with Hibernate, and when to use each in your applications.Unit Testing: Write unit tests to ensure your code works as expected, covering both service and repository layers using tools like JUnit and Mockito.Working with HTTP Headers: Learn how to work with request and response headers, implement custom headers, and pass data effectively through API endpoints.Relational Mappings (OneToOne, OneToMany, ManyToMany): Understand how to model real-world relationships between entities in a relational database using JPA annotations.Logging: Implement effective logging strategies to track application behavior, debug issues, and monitor performance.Caching for Performance Optimization: Leverage caching strategies to improve application performance and scalability, including setting up default caching and custom cache eviction policies.External API Integration: Learn how to consume external APIs, handle authentication, and integrate third-party services into your Spring Boot application.Spring Security: Explore the built-in security mechanisms, set up Basic Authentication, and secure your applications with JWT (JSON Web Token) for token-based authentication.Dependency Injection & Inversion of Control (IoC): Gain a solid understanding of how Spring Boot manages dependencies and objects, ensuring modular and maintainable code.Monitoring with Spring Boot Actuator: Enable real-time monitoring of your application, track performance metrics, and expose health and status endpoints using Spring Boot's Actuator.Transactions & @Transactional: Manage database transactions, understand transactional boundaries, and ensure data consistency using Spring's @Transactional annotation.Advanced Java Concepts in Spring Boot: Delve into practical Java topics frequently used in Spring Boot applications, such as UUIDs for unique identifiers, event-driven programming, handling various return types, managing JSON data in MySQL, and implementing versioning for your APIs.
Who this course is for
Go from Java Developer to Backend Engineer using Spring Boot
Homepage:
Code:
https://www.udemy.com/course/no-nonsense-guide-to-java-spring-boot/
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Time Management To Sell More And Earn More
Time Management To Sell More And Earn More
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.90 GB | Duration: 2h 19m
A Time Management Course If You Don't Have Time To Learn
What you'll learn
Find ways to improve your productivity and earnings
Easy fixes to get back more time to sell.
Use your own personal 'traits' to your advantage.
You'll have less stress and more time for enjoyment when you use these techniques.
Requirements
These are easy ways to fit these lessons into your everyday life.
No apps to download, no special requirements
Description
If you've ever laid in bed staring at the ceiling and can't sleep because you're worrying about the bills, you've come to the right course. Some of us are completely honest with ourselves and we know we've been wasting time doing "busy things" instead of focusing on our job - building an income. Others have no idea where the time went over the past week. Time just flew by and they have no clue how little they accomplished that week. Worse yet, that month. And yet, the rent is still due in a few days, as is the car payment, heat, hydro, taxes, insurance policies (life and car), and the little beads of sweat on your forehead aren't because you've been exercising. Let me help.In this course, you'll learn how to manage your time better. That's it. Time is the only asset you have and if you abuse it, it's going to cost you. If you control your time, you have more time to sell and that means you'll earn more. It's really that simple.So if you want to sell more, earn more money AND take pride in what you do, this is indeed the right place for you to be.
Overview
Section 1: Take Control of Your Most Valuable Asset
Lecture 1 Introduction
Section 2: Manage Your Time With Goals
Lecture 2 How Setting Goals will make you much more efficient.
Lecture 3 Prioritize your Time
Section 3: Procrastination
Lecture 4 You'll learn how easy it is to overcome procrastination
Lecture 5 You'll learn how easy it is to overcome procrastination.
Section 4: Save yourself time - DELEGATE!
Lecture 6 Learn how delegating some tasks will give you more time to sell and earn.
Section 5: Build a Ritual
Lecture 7 Doing your tasks in the same order every day makes your day more effective.
Section 6: Attending Meetings
Lecture 8 It's all about NOT WASTING YOUR TIME!
Section 7: Dealing With Time Barriers and Interruptions
Lecture 9 How to deal with interruptions to your selling time.
Section 8: The Finale!
Lecture 10 The benefits of good time management
Do you lay in bed at night staring at the ceiling wondering how you're going to fit everything you need to do into the next day.,If you're at work and you find yourself thinking about all the things you need to do at home, and when you get home, all you can think about is everything you need to do at work, this course is right for you.,You REALLY need this course if you feel like you could "explode" the next time someone says, "Hey, would you do this for me?"!
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Ultimate Copywriting Course For Beginners Start Copywriting
Ultimate Copywriting Course For Beginners Start Copywriting
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 424.73 MB | Duration: 0h 44m
Start copywriting TODAY
What you'll learn
the basics of copuwriting
how to write a copy
how to write an email marketing
Start copywriting today
Requirements
No experience needed
Description
I am making this course for me because when i wanted to start copywriting i was lost in tons of copywriting content, it was so frustating . tons of content that i needed and i have to watch before i start and if i dont watch it i feel like i am missiong out of something that can be interstingSo i was procrastinating a lot i wanted to start buy i dont know how even after watching all these videos i had no tangible idea that i can follow to actually start.. and i felt and overwhelming feeling and anxiety .. am i wasting my time ?So i made this course for you my friends to get you started i give you all the basincs that you need to actyally start this buisness today. You dont anymore information. You only need to go and excute what i taught you in this course and keep the ball rollingWhat i am aiming for is to get you started and make sure that you actually have some basics in your head to start writingThis course is for beginners who wanna start copywriting and they feel they dont know howWithout further ado i will see you inside the class
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 The basics of copywriting
Lecture 3 tools you need to become a copywriter
Lecture 4 Framework of your Copy that converts
Lecture 5 Homework
this course will SHOW YOU EVERYTHING YOU NEED TO KNOW
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Understand quality indicator for clinical laboratory
Understand quality indicator for clinical laboratory
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Published 9/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 13m | Size: 593 MB
Establishing Quality indicators,Monitoring Quality indicators,practical statistical calculation for quality indicators
What you'll learn
understand the basic concepts and importance of quality indicators in a clinical laboratory setting, including their role in ensuring accurate results
Students will gain a thorough understanding of the ISO 15189:2022 standards, particularly the requirements related to implementation and management indicator
Students will learn how to establish and define appropriate quality indicators for different phases of laboratory processes, ensuring alignment with ISO 15189
Students will develop the skills to effectively monitor quality indicators, including identifying key performance metrics, setting benchmarks, and action plan
Students will acquire the knowledge needed to collect relevant data and perform statistical calculations for quality indicators.
Students will be able to generate comprehensive reports on quality indicators, conduct root cause analysis to identify issues, and develop action plans
Requirements
No any prior understandings of quality management system
Description
This comprehensive course provides in-depth training on the implementation and management of quality indicators in medical laboratories, fully aligned with ISO 15189:2022 standards. Designed for medical laboratory professionals, quality managers, and healthcare personnel, this course equips learners with the knowledge and tools necessary to ensure accurate, reliable, and compliant laboratory outcomes.Throughout the course, participants will learn how to define and monitor quality indicators across all phases of laboratory processes-pre-analytical, analytical, and post-analytical. Key topics establishing quality indicators, monitoring quality indicators, statistical calculation for all quality indicators ,include generating comprehensive quality reports, conducting root cause analysis, and developing action plans for continuous quality improvement.Participants will gain a strong foundation in statistical analysis, enabling them to assess performance metrics and track laboratory outcomes effectively over time. Additionally, the course emphasizes the importance of aligning laboratory practices with international standards, helping learners ensure compliance and meet accreditation requirements.By the end of the course, students will possess the practical skills to establish quality indicator in medical laboratory, to implement quality indicators, enhance laboratory performance, and foster a culture of continuous improvement in their organizations. Join us on this journey toward operational excellence and establish yourself as a leader in laboratory quality management.
Who this course is for
From basic to advanced
Homepage:
Code:
https://www.udemy.com/course/understand-quality-indicator-for-clinical-laboratory/
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Why Isn'T Solar Energy Powering Everything
Why Isn'T Solar Energy Powering Everything?
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Published 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.61 GB | Duration: 1h 15m
Understanding the sun and how we can use it to produce renewable energy to meet our needs.
What you'll learn
Understand what we mean by solar energy production
Have an idea how solar energy production happens
Identify the different technologies used in producing energy from the sun
Identify the benefits and drawbacks of producing energy from the sun
Gain the knowledge to participate in informed discussions about how solar energy could and should be used
Requirements
Anyone with an interest in our futures and how we can produce and make use of clean energy will find this course useful.
Description
We're being urged to invest our time, money and future into clean energy for our homes and businesses. Solar power is a vital part of this clean energy future.But what is solar power? How does solar power work and what are its advantages and disadvantages. This course will help you to answer these questions while explaining why it isn't a complete solution to our current and future energy needs.Our reliance on fossil fuels to maintain our lifestyles is unsustainable. We're using them up and they cause much of the pollution we experience. For a large part of human history, we've powered our lives with renewable sources of energy, and we need to return to them but using clean, modern versions. Worldwide, the heat and light from the sun is one of the most important sources of clean, renewable energy.The course is presented using a blend of talking head and animation. We illustrate our points with images and case studies. Like all life, the course begins with the sun, which provides us with all the heat and light we need. We then examine how we can use this heat and light. To do this, we explore the four main solar technologies and their advantages and disadvantages.The course ends with a summary and a response to the question, why isn't solar energy powering everything? There's a quiz to check the knowledge you've acquired and a resource document for you to download.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 The Sun
Section 2: Generating Energy from the Sun
Lecture 3 Daylighting and Passive Solar Gain
Lecture 4 Solar Thermal Energy
Lecture 5 Advantages and Disadvantages of Solar Thermal Energy
Lecture 6 Solar Photovoltaic Power Part 1
Lecture 7 Solar Photovoltaic Power Part 2
Lecture 8 Advantages of Solar Photovoltaics
Lecture 9 Disadvantages of Solar Photovoltaics
Lecture 10 Concentrating Solar Power
Section 3: Course Conclusion
Lecture 11 Summary
Learners who are curious about renewable energy and what it means.,Learners who want to understand how solar energy can contribute to a clean energy future.,Learners who want to know why solar energy is not powering everything we do.
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