Skip to main content
HomePython

Course

Introduction to Data Science in Python

Beginner
4.8+
88 reviews
Updated 05/2025
Dive into data science using Python and learn how to effectively analyze and visualize your data. No coding experience or skills needed.
Start Course for Free

Included withPremium or Teams

PythonProgramming4 hours13 videos44 Exercises3,700 XP476,731Statement of Accomplishment

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

Course Description

Begin your journey into Data Science! Even if you've never written a line of code in your life, you'll be able to follow this course and witness the power of Python to perform Data Science. You'll use data to solve the mystery of Bayes, the kidnapped Golden Retriever, and along the way you'll become familiar with basic Python syntax and popular Data Science modules like Matplotlib (for charts and graphs) and pandas (for tabular data).

Prerequisites

There are no prerequisites for this course
1

Getting Started in Python

Start Chapter
2

Loading Data in pandas

Start Chapter
3

Plotting Data with Matplotlib

Start Chapter
4

Different Types of Plots

Start Chapter
Introduction to Data Science in Python
Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review

Included withPremium or Teams

Enroll now

Don’t just take our word for it

*4.8
from 88 reviews
89%
11%
0%
0%
0%
  • Yuto
    about 12 hours

  • Anna
    3 days

  • Hari
    4 days

  • Ricardo
    4 days

  • Alicia
    5 days

  • mark
    about 13 hours

Yuto

Anna

Hari

FAQs

Join over 16 million learners and start Introduction to Data Science in Python today!

Create Your Free Account

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.