Advance HR Analytics Course using python and power BI 

Topic 1: Introduction to HR Analytics

Definition and importance of HR analytics

Key metrics in HR (turnover, retention, employee engagement)

The role of data in HR decision-making

Topic 2: Fundamentals of Data Analysis for HR

Types of HR data (qualitative vs. quantitative)

Data collection methods (surveys, HRIS, exit interviews)

Data cleaning and preprocessing

Topic 3: Introduction to Python for HR Analytics

Introduction to Python programming

Setting up Python environment (Anaconda, Jupyter Notebooks)

Python basics (data types, variables, loops, functions)

Topic 4: Data Visualization in HR Analytics

Importance of data visualization in HR analytics

Plotting with Python (Matplotlib, Seaborn)

Creating visualizations for key HR metrics (e.g., employee turnover, absenteeism)

Topic 5: Predictive Analytics in HR

Introduction to predictive modeling

Regression analysis for HR (predicting attrition, performance)

Classification models (logistic regression, decision trees)

Topic 6: Employee Sentiment Analysis using Python

Text mining techniques for HR

Introduction to Natural Language Processing (NLP)

Preprocessing textual HR data (tokenization, stopword removal)

Topic 7: Advanced HR Analytics with Machine Learning

Supervised vs. unsupervised learning in HR

Clustering techniques (k-means) for employee segmentation

Neural networks and deep learning applications in HR

Topic 8: Reporting and Presenting HR Analytics Insights

Creating comprehensive HR analytics reports

Automating report generation using Python

Effective presentation techniques for HR data

Topic 9: Introduction to Power BI for HR Analytics

Introduction to Power BI (desktop, service, and mobile platforms)

Essential HR metrics to analyze and visualize with Power BI

Connecting to HR data sources (Excel, databases, cloud platforms)

Topic 10: Data Modeling and Transformation in Power BI

Introduction to Power Query for data transformation

Cleaning and merging HR datasets

Data modeling concepts (relationships, cardinality)

Topic 11: Visualizing HR Data with Power BI

Choosing the right visualizations for HR data (bar charts, line charts, scatter plots)

Creating interactive HR dashboards

Visualizing key HR metrics (attrition, absenteeism, diversity)

Topic 12: Advanced HR Analytics with Power BI

Time series analysis for HR (tracking trends in hiring and turnover)

Predictive analytics with R and Python visuals

HR segmentation with clustering and classification techniques

Topic 13: Sharing and Collaborating on HR Reports with Power BI

Publishing HR reports to Power BI Service

Managing data refreshes and scheduled updates

Sharing reports with HR teams and stakeholders