Data Analytics

Data Analytics using R studio
1. R Core (4 hours)
2. Descriptive Analysis – Univariate (2 hours)
3. Data Visualization with ggplot 2 (3 hours)
4. Inferential Analysis – Hypothesis Testing (2 hours)
5. Predictive Analysis – Linear and Logistic Regression,
Segmentation and Clustering, Decision Tree and Time Series
Analysis ( 6 hours)
6. Case Study (2 hours)
7. Projects – HR, Retail, Banking, Operation (2 hours)