This course includes
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 plotting. This course is a comprehensive introduction to statistical analysis using Python. You’ll start with a step-by-step guide to the fundamentals of programming in Python. You’ll learn to apply these functions to numerical data. You’ll fir...Show More
What You'll Learn
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
What You'll Learn
A deep familiarity with various data functions of Python
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Course Content
Introduction
Python Essentials
NumPy: Data Analysis
Pandas: Data Analysis
Matplotlib: Data Visualization
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
Course Author
Trusted by 1.4 million developers working at companies
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Evan Dunbar
ML Engineer
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