HR Analytics using MS Excel for Human Resource Management

Use Excel for HR Analytics, calculate HR metrics, build HR dashboards & ML models for Human Resource & People Analytics

4.41 (9173 reviews)

Udemy

platform

English

language

Human Resources

What you will learn

Use MS excel to create and automate the calculation of HR metrics

Make HR Dashboards and understand all the charts that you can draw in Excel

Become proficient in Excel data tools like Sorting, Filtering, Data validations and Data importing

Use pivot tables filtering and sorting options in Excel to summarize and derive information out of the HR data

Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real world HR problems

Knowledge of all the essential Excel formulas required for HR Analytics

Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index and Match

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Our Verdict

This course is a valuable resource for HR professionals seeking to enhance their data-driven decision-making skills using MS Excel. While accent, mathematics, and assessment aspects may present challenges, the strengths of this course in terms of comprehensive content, hands-on techniques, and accessible examples outweigh such issues. Overall, it's an informative and engaging HR Analytics learning experience well worth your investment on Udemy.

What We Liked

Comprehensive coverage of HR analytics using MS Excel, including fundamental concepts, data tools, and predictive models
High-quality instruction from experienced professionals with a clear and easy-to-understand approach
Inclusive learning environment with resources like Vietnamese subtitles and accommodations for learners with varying English proficiency
Real-world case studies to enhance understanding of practical HR analytics applications

Potential Drawbacks

Accent of the instructor can initially be difficult for non-native English speakers to understand
Lack of assessments and practice exercises, which may affect learners' ability to apply concepts effectively
Machine learning and regression sections could be more accessible to non-engineering students and beginners