Python Quick Start

• Python Essentials
• Language Fundamentals
• Functions
• Data Structures

Getting Started with NumPy

• Setting the Scene
• NumPy Arrays
• Manipulating Array Elements
• Manipulating Array Shape

NumPy Techniques

• NumPy Universal Functions
• Aggregations
• Broadcasting
• Manipulating Arrays using Boolean Logic
• Additional Techniques

Getting Started with Pandas

• Introduction to Pandas
• Creating a Series
• Using a Series
• Creating a DataFrame
• Using a DataFrame

Pandas Techniques

• Universal Functions
• Merging and Joining Datasets
• A Closer Look at Joins

Working with Time Series Data

• Introduction to Time Series Data
• Indexing and Plotting Time Series Data
• Testing Data for Stationarity
• Making Data Stationary
• Forecasting Time Series Data
• Scaling Back the ARIMA Results

Introduction to Machine Learning

• Machine Learning Concepts
• Classification
• Clustering

Getting Started with Scikit-Learn

• Scikit-Learn Essentials
• A Closer Look at Datasets

Understanding the Scikit-Learn API

• Introduction
• Scikit-Learn API Essentials
• Performing Linear Regression

Going Further with Scikit-Learn

• Introduction
• Understanding Naive Bayes Classification
• Naive Bayes Example using Scikit-Learn

Case Study

• Worked example of a real-world data science problem