HR Analytics Master Course with Excel, Python
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Training TypeLive Training
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CategoryHuman Resources
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Duration3 Hours
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Rating4.8/5
Course Introduction
About the Course
Drowning in HR data but yearning for actionable insights? This masterclass equips you with the cutting-edge tools to transform data into strategic wisdom. Master both Excel and Python, the industry's go-to tools for HR analytics, through hands-on exercises and real-world case studies.
You'll learn:
Excel: Data cleaning, manipulation, visualizations, advanced techniques (PivotTables, macros).
Python: Programming fundamentals, HR-specific libraries, data analysis & modeling.
HR Analytics: Performance analysis, workforce trends, recruitment optimization, predictive modeling.
Course Objective
Confidently utilize Excel and Python for HR data analysis.
Uncover hidden insights and trends in your workforce data.
Generate impactful dashboards and reports for informed decision-making.
Apply advanced analytics techniques to solve complex HR challenges.
Become a strategic HR partner, driving data-driven initiatives.
Who is the Target Audience?
HR professionals seeking to master advanced analytics.
Talent managers aiming to leverage data for strategic workforce planning.
Recruiters wanting to optimize hiring with data-driven insights.
HR analysts and consultants seeking to refine their skillset.
Basic Knowledge
Working familiarity with Microsoft Excel.
Basic understanding of data analysis concepts.
No prior Python programming experience required.
Available Batches
Pricing
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Importance of HR analytics in modern organizations.
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Excel & Python fundamentals for data analysis.
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Creating compelling HR data visualizations (charts, dashboards).
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Advanced data cleaning and manipulation techniques.
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Analyzing employee performance metrics.
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Identifying workforce trends and patterns.
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Python programming basics with hands-on practice.
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Importing and manipulating HR data in Python.
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Leveraging HR-specific Python libraries.
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Predicting employee turnover and retention.
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Optimizing recruitment strategies with data-driven insights.
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Identifying pay equity gaps and analyzing compensation trends.
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Building predictive models for HR forecasting.
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Communicating HR insights effectively through data storytelling.
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Ethical considerations in HR analytics.
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Apply your learnings to a real-world HR analytics project.
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Collaborate, analyze, and present your findings.
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Receive feedback and refine your data-driven HR expertise.