Python for Data ScienceLogin to enroll
Classes StartAny time, Self-paced
Estimated Effort20 hours
ABOUT THIS PYTHON COURSE
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
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 free 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 get free access to Watson Studio. Start now and take advantage of this platform.
Module 1 - Python Basics
- Your first program
- Expressions and Variables
- String Operations
Module 2 - Python Data Structures
- Lists and Tuples
Module 3 - Python Programming Fundamentals
- Conditions and Branching
- 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
- This course is free.
- It is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
- There is only ONE chance to pass the course, but multiple attempts per question
RECOMMENDED SKILLS PRIOR TO TAKING THIS COURSE
- Basic Math
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.