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    • Hr Analytics

    HR Analytics Courses Online

    Learn HR analytics for data-driven HR management. Understand how to analyze HR data, improve decision-making, and optimize workforce performance.

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    Explore the HR Analytics Course Catalog

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Analytics for Decision Making

      Skills you'll gain: Time Series Analysis and Forecasting, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain, Probability, Predictive Modeling, Business Modeling, Business Analytics, Analytics, Regression Analysis, Microsoft Excel, Forecasting, Data Modeling, Process Optimization, Data-Driven Decision-Making, Statistics, Business Mathematics, Manufacturing Operations

      4.7
      Rating, 4.7 out of 5 stars
      ·
      259 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Michigan

      Leading People and Teams

      Skills you'll gain: Talent Management, Team Motivation, Team Building, Teamwork, Team Management, Talent Pipelining, Influencing, Team Leadership, People Development, Team Performance Management, Employee Onboarding, Employee Coaching, Conflict Management, Employee Engagement, Interviewing Skills, Persuasive Communication, Leadership, Professional Networking, Business Leadership, Leadership Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Toronto

      Gender Analytics: Gender Equity through Inclusive Design

      Skills you'll gain: Human Centered Design, User Experience Design, Organizational Change, User Research, Design Thinking, Change Management, Design Research, Product Design, Data Ethics, Data Collection, Quantitative Research, Influencing, Qualitative Research, Organizational Leadership, Business Leadership, Leadership, Diversity Awareness, Diversity and Inclusion, Innovation, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      578 reviews

      Beginner · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Data Engineering, Big Data, and Machine Learning on GCP

      Skills you'll gain: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Lakes, MLOps (Machine Learning Operations), Dashboard, Data Warehousing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Cloud Storage, Big Data, Tensorflow, Unstructured Data, Data Integration, Data Migration, Data Processing, Data Visualization Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California, Davis

      SQL for Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Database Design, Query Languages, Data Manipulation, Data Modeling, Relational Databases, Data Analysis, Data Cleansing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Statistical Inference, Statistical Methods, Pandas (Python Package), Probability & Statistics, Risk Analysis, Financial Trading, Financial Data, Data Manipulation, Statistical Analysis, Regression Analysis, Financial Analysis, Jupyter, Financial Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      AI For Business

      Skills you'll gain: AI Personalization, Generative AI, Data Ethics, HR Tech, Data Governance, Big Data, Machine Learning, Personally Identifiable Information, Data Security, Governance, Business Strategy, Human Resources, Organizational Strategy, Customer Data Management, Credit Risk, Risk Management, Tensorflow, Personalized Service, Data-Driven Decision-Making, People Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Development Environment, Version Control, Other Programming Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Washington

      Social Media Data Analytics

      Skills you'll gain: R Programming, Text Mining, Statistical Analysis, Correlation Analysis, Web Scraping, Regression Analysis, Analytics, Big Data, Data Analysis, Data Mining, Unstructured Data, Data Collection, Scripting, Application Programming Interface (API), Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of London

      Brand Management: Aligning Business, Brand and Behaviour

      Skills you'll gain: Brand Management, Branding, Brand Strategy, Brand Awareness, Employee Engagement, Marketing Management, Global Marketing, Internal Communications, Customer experience strategy (CX), Human Resources, Organizational Change, Consumer Behaviour, Cross-Functional Collaboration

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.6K reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing

      Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Linear Algebra, Data Cleansing, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Intermediate · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular hr analytics courses

    • Introduction to Statistics: Stanford University
    • Analytics for Decision Making: University of Minnesota
    • Leading People and Teams: University of Michigan
    • Gender Analytics: Gender Equity through Inclusive Design: University of Toronto
    • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
    • SQL for Data Science: University of California, Davis
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • AI For Business: University of Pennsylvania
    • Tools for Data Science: IBM
    • Social Media Data Analytics: University of Washington

    Frequently Asked Questions about Hr Analytics

    HR Analytics courses cover a variety of topics essential for leveraging data to improve human resource management. These include the fundamentals of HR metrics and data analysis techniques. Learners will explore topics such as workforce planning, performance measurement, and employee engagement analytics. Advanced courses might cover predictive analytics, data visualization, and the use of HR analytics software tools like SAP SuccessFactors and Workday. Practical projects and case studies help learners apply these concepts to real-world HR scenarios, enhancing their ability to make data-driven decisions.‎

    Choosing the right HR Analytics course depends on your current skill level and career aspirations. Beginners should look for courses that cover the basics of HR metrics, data collection, and introductory analysis techniques. Those with some experience might benefit from intermediate courses focusing on advanced data analysis, predictive analytics, and the use of HR analytics tools. Advanced learners or professionals seeking specialized knowledge might consider courses on strategic workforce planning, advanced data visualization, or preparing for certifications like PHR (Professional in Human Resources) with a focus on analytics. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your goals.‎

    A certificate in HR Analytics can open up various career opportunities in human resources and data analysis. Common roles include HR analyst, people analytics specialist, HR data scientist, and workforce planning manager. These positions involve analyzing HR data, developing insights to improve HR processes, and supporting strategic decision-making in HR management. With the increasing importance of data-driven approaches in HR, earning an HR Analytics certificate can significantly enhance your career prospects and opportunities for advancement in fields such as corporate HR, consultancy, and talent management.‎

    Yes, Coursera offers a variety of free courses across many topics, including HR analytics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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