Data Science and Knowledge Management
- Introduction to Business Analytics & Data Analytics
- Exploratory Data Analysis (EDA)
- Data Wrangling, Data Cleaning & Data Preparation
- -
- Correlation & Dependence Analysis
- Supervised Machine Learning: Regression & Classification
- Validation and performance of algorithms
- Validation and performance of algorithms
- Unsupervised Machine Learning
- Model Evaluation: Cross-Validation Overfitting/Underfitting Bias-Variance
- Time Series Analysis & Forecasting
- Time Series Analysis & Forecasting-2