* Introduction to Artificial intelligence
* Introduction to R Language
* Data Structures in R
* R Graphics
* Correlation and Regression
* Probability and Statistics
* Introduction to Python
* Functions and Modules
* Object Oriented Programming
* Regular Expression
* Introduction to Numpy
* Advanced Numpy
* Scientific Package in python
* Data Manipulation
* Data Visualization
* Data Exploration and Testing
* Machine Learning
* Introduction to machine learning
* Machine Learning Problem Framing
* Data Preparation and Feature Engineering in ML
* Regression
* K-nearest Neighbor Classifier
* Ensemble Machine Learning Method
* Naive Bayes And Support Vector Algorithm
* Clustering
* Model Evaluation
* Compressing Data
* Main project