• Use Python for Data Science and Machine Learning

• Use Spark for Big Data Analysis

• Implement Machine Learning Algorithms

• Learn to use NumPy for Numerical Data

• Learn to use Pandas for Data Analysis

• Learn to use Matplotlib for Python Plotting

• Learn to use Seaborn for statistical plots

• Use Plotly for interactive dynamic visualizations

• Use SciKit-Learn for Machine Learning Tasks

• K-Means Clustering

• Logistic Regression

• Linear Regression

• Random Forest and Decision Trees

• Natural Language Processing and Spam Filters

• Neural Networks

• Support Vector Machines

Course Introduction

Environment Set up

Jupyter Overview

Python Crash Course