This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

Are there any course requirements or prerequisites?

Some programming experience

What will you learn in this course?

1. Programming with Python

2. NumPy for Numerical Data

3. Pandas for Data Analysis

4. Matplotlib for Python Plotting

5. Seaborn for statistical plots

6. SciKit-Learn for Machine Learning Tasks

Implement Machine Learning Algorithms

7. K-Means Clustering

8. Logistic Regression

9. Linear Regression

10. Random Forests and Decision Trees

11. Support Vector Machine

12. Natural Language Processing 

13. Introduction to Neural Networks

This course will be conducted with 30:70. 30% of Theory and 70% Hands-On.