Introduction to Data Science with Python
Beginner
85 Lessons
4h 10min
Certificate of Completion
Takeaway Skills
A deep familiarity with various data functions of Python
The ability to visualize statistical data using Matplotlib and Plotly libraries
A working knowledge of the pandas and NumPy libraries for data cleaning and analysis
A strong proficiency in the basics of data science and the Python programming language
Course Overview
Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industries. It’s easy to learn, highly flexible, and its various libraries can expand functionality to natively perform statistical functions and...Show More
Course Content
Introduction
1 Lesson
Python Essentials
14 Lessons
NumPy: Data Analysis
10 Lessons
Pandas: Data Analysis
12 Lessons
Matplotlib: Data Visualization
11 Lessons
Seaborn: Statistical Data Visualization
14 Lessons
Pandas: Data Visualization
5 Lessons
Plotly: Interactive Data Visualization
3 Lessons
Project 1: Oil vs Banks During Recession
7 Lessons
Project 2: Emergency Calls Dataset
7 Lessons
In Closing
1 Lesson
How You'll Learn
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.
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.
Start learning immediately instead of fiddling with SDKs and IDEs. It‘s all on the cloud.
Built-in assessments let you test your skills. Completion certificates let you show them off.