Want to become a good Data Scientist?  Then this is the right course for you.

I will be covering complex theory, algorithms, and coding libraries in a very simple way that can be easily grasped by any beginner as well.

I will walk you step-by-step into the World of Data Science. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level.

Structure of the course

1. Introduction to Data Science
2. Python Introduction,Anaconda
3. Jupyter notebooks, Spyder
4. Data Structures/Objects in Python
5. Data Analysis - Pandas,Numpy
6. Data Visualization – Matplotlib,Seaborn
7. Exploratory Data analysis in Python
8. Probability Theory
9. Applied Statistics in Python
10. Regression Models – Python
11. Clustering – Python
12. Text mining - Python
13. Time series forecasting- Python
14. Introduction to Azure , ML Studio,Databricks,SparkR
15. Kaggle,Github
16. Capstone Project Python