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  1. Home
  2. Learning Paths

Python Fundamentals Learning Path

Python Fundamentals is a Skill Path designed by DataCamp. It consists of four courses with 15 hours of learning content .

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Description

Are you ready to gain the foundational skills you need to become a Python programmer? In this track, you'll learn the Python basics you need to start on your programming journey, including how to clean real-world data ready for analysis, use data visualization libraries, and even how to write your own Python functions. Your instructor Hugo will introduce you to how companies worldwide use Python to gain a competitive edge.

Through hands-on coding exercises you’ll then learn how to store, manipulate, and explore data using NumPy. Then it’s time to level-up as you learn how to visualize your data using Matplotlib, manipulate DataFrames and dictionaries using pandas, and write your own functions and list comprehension. Start this track to add these essential Python skills to your data science toolbox.

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Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

DataCamp
1. Introduction to Python
Hugo Bowne-Anderson

4 hours

Beginner

$300

2,956,323
NumPy Python Data Analysis Data Science Data Types Functions Variables
DataCamp
2. Intermediate Python
Hugo Bowne-Anderson

4 hours

Intermediate

$300

587,753
Matplotlib Pandas Python Data Science Data Sets Data Visualization Loops Statistical Analysis
DataCamp
3. Python Data Science Toolbox (Part 1)
Hugo Bowne-Anderson

3 hours

$300

246,118
Python Data Science Functions
DataCamp
4. Python Data Science Toolbox (Part 2)
Hugo Bowne-Anderson

4 hours

$300

158,115
Python Data Science Functions Loops
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