Python Data Analysis and Visualization

Course Overview

This course assumes no prior experience and can teach anyone how to use Python to analyze and visualize data. Stop using Excel and start harnessing the power of Python. Data analysis is one of the hottest careers of the 21st century. As an analyst, your goal is to peel back layers of ... See More

How You'll Learn

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Hands-on coding environments

You don’t get better at swimming by watching others. Coding is no different. Practice as you learn with live code environments inside your browser.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

No set-up required

Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

Show All

Show All Lessons

1. What is Analytics

Introduction to Analytics

Analytics in Python

2. Python Basics for Analytics

Getting Started

Data Structures

Control Flow and Built-in Functions

Numpy an External Library

Scipy an External Library

Exercise: Using Numpy and Scipy

Solution Review: Using Numpy and Scipy

3. Reading Data

Comma Separated Files

JSON Files

Raw Files

Exercise: Reading Auto MPG Dataset

Solution Review: Reading Auto MPG Dataset

4. Describing Data

Statistics and Counts

Reshaping the Data

Exercise: Group By Aggregations

Solution Review: Group By Aggregations

5. Cleaning Data

Missing Data

Outliers

Scaling

Categorical Data

Exercise: Cleaning Auto MPG Dataset

Solution Review: Cleaning Auto MPG Dataset

6. Visualizing Data

Introduction to Visualization

Visualization with Scatter Plots

Visualization with Bar Plots

Visualization with Distributions

Visualization with Line Graphs

Visualization with Heat Maps

Visualization with Multi-Plot Grids

Exercise: Visualizing Auto MPG Dataset

Solution Review: Visualizing Auto MPG Dataset

Test Yourself