Skip to main content

IBM: Python Basics for Data Science

4.5 stars
289 ratings

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Python Basics for Data Science
3 weeks
4–10 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

Choose your session:

724,848 already enrolled! After a course session ends, it will be archivedOpens in a new tab.
Starts Dec 8
Ends Dec 31
Enroll
Starts Dec 31
Enroll
Python Basics for Data Science

About this course

Skip About this course

Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python. ~~~~

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.

Awards

Python Basics for Data Science

At a glance

What you'll learn

Skip What you'll learn

The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.

In this course you will learn about:

  • What Python is and why it is useful
  • The application of Python to Data Science
  • How to define variables in Python
  • Sets and conditional statements in Python
  • The purpose of having functions in Python
  • How to operate on files to read and write data in Python
  • How to use pandas, a must have package for anyone attempting data analysis in Python.

Syllabus

Skip Syllabus

Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations

Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries

Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes

Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays

This course is part of DevOps and Software Engineering Professional Certificate Program

Learn more 
Expert instruction
15 skill-building courses
Self-paced
Progress at your own speed
1 year 1 month
7 - 9 hours per week

Ways to take this course

Choose your path when you enroll.

Verified Track

Audit Track

Price

$99 USD

Free

Access to course materials

Unlimited

Limited

Expires on Dec 29

World class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

Interested in this course for your business or team?

Train your employees in the most in-demand topics, with edX For Business.
Purchase nowRequest information