Data Science & Machine Learning
This Programme will enable students to understand Data Science and Machine learning concepts and applications using Python.
The pedagogy is learning through case studies and will enable the participants to understand the theory and its application.
- Data Science and Machine Learning with Python. Introduction & Applications
- How to use Python Environment
- Statistics: Central tendency, Dispersion of data, Probability, Correlation
- Machine Learning Algorithm: Linear Regression
- Logistic Regression, Clustering (K Means)
- Case Study I & II: Learnings
- Data Wrangling
- Data Exploration
- Modelling (Regression, Classification, Clustering)
- Data Visualization
- Further road Map: Where to go from here