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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

    • U

      University of Washington

      Machine Learning: Regression

      Skills you'll gain: Regression Analysis, Predictive Modeling, Supervised Learning, Statistical Modeling, Applied Machine Learning, Predictive Analytics, Feature Engineering, Machine Learning, Statistical Methods, Python Programming, Data Manipulation, Linear Algebra, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.6K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Probability and Statistics: To p or not to p?

      Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data Visualization, Data-Driven Decision-Making, Statistical Modeling, Data Analysis, Probability, Probability Distribution, Sampling (Statistics), Risk Modeling, Statistical Inference, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 3 Months

    • E

      ESSEC Business School

      Foundations of marketing analytics

      Skills you'll gain: Marketing Analytics, Customer Analysis, Business Marketing, Advanced Analytics, Marketing Strategies, Business Analytics, Market Research, Customer Insights, R Programming, Data-Driven Decision-Making, Target Market, Data Analysis, Predictive Analytics, Statistical Analysis, Statistical Modeling, Predictive Modeling, Customer Relationship Management, Statistical Methods, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      760 reviews

      Mixed · Course · 1 - 3 Months

    • I

      Imperial College London

      Introduction to Statistics & Data Analysis in Public Health

      Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, Statistical Software, R Programming, Statistics, Public Health, Descriptive Statistics, Probability Distribution, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Predictive Analytics for Business with H2O in R

      Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Data Science, Data Processing, Feature Engineering, Machine Learning, Telemarketing, Application Deployment

      4.9
      Rating, 4.9 out of 5 stars
      ·
      52 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of California, Irvine

      E-Marketing

      Skills you'll gain: Pay Per Click Advertising, Search Engine Marketing, Customer Retention, Persona Development, Digital Marketing, Marketing Analytics, Search Engine Optimization, Key Performance Indicators (KPIs), Target Audience, Keyword Research, Social Media Strategy, Marketing Effectiveness, Customer Acquisition Management, Customer experience improvement, Marketing Strategy and Techniques, Customer Engagement, A/B Testing, Web Analytics, Marketing Strategies, Google Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      385 reviews

      Beginner · Specialization · 1 - 3 Months

    • N

      Northwestern University

      The Importance of Listening

      Skills you'll gain: Real Time Data, Social Media, Social Media Marketing, Big Data, Marketing Analytics, Crisis Management, Analytics, Content Strategy, Text Mining, Data-Driven Decision-Making

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University at Buffalo

      Applied Analytics and Data for Decision Making

      Skills you'll gain: Data Literacy, Data Ethics, Data-Driven Decision-Making, Analytics, Root Cause Analysis, Lean Methodologies, Six Sigma Methodology, Operational Efficiency, Operational Excellence, ISO 9000 Series, Process Improvement, Decision Making, Quality Management Systems, Data Security, Internet Of Things

      4.6
      Rating, 4.6 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      E

      Edureka

      Applied Data Analytics

      Skills you'll gain: Power BI, Data Analysis Expressions (DAX), Data Visualization, Exploratory Data Analysis, Matplotlib, Data Visualization Software, Web Scraping, Probability Distribution, Predictive Modeling, Seaborn, Statistical Visualization, SQL, Plotly, Interactive Data Visualization, Statistical Inference, Pandas (Python Package), Database Management, Data Analysis, Data Presentation, Databases

      3.9
      Rating, 3.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Pohang University of Science and Technology(POSTECH)

      Introduction and Programming with IoT Boards

      Skills you'll gain: Internet Of Things, Wireless Networks, General Networking, Emerging Technologies, Electronic Hardware, Embedded Systems, Information Technology Architecture, Infrastructure Architecture, Software Architecture, Computer Hardware, Computer Programming Tools, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Beginner · Course · 1 - 3 Months

    • E

      EIT Digital

      Data Science for Business Innovation

      Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Mining, Data Analysis, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      264 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Machine Learning: Regression: University of Washington
    • Probability and Statistics: To p or not to p?: University of London
    • Foundations of marketing analytics: ESSEC Business School
    • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
    • Predictive Analytics for Business with H2O in R: Coursera Project Network
    • E-Marketing: University of California, Irvine
    • The Importance of Listening: Northwestern University
    • Applied Analytics and Data for Decision Making: University at Buffalo
    • Applied Data Analytics: Edureka
    • Introduction and Programming with IoT Boards: Pohang University of Science and Technology(POSTECH)

    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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