Python for Data Science, AI & Development
Updated on
Course overview
- Provider
- Coursera
- Course type
- Free online course
- Level
- Beginner
- Deadline
- Flexible
- Duration
- 19 hours
- Certificate
- Paid Certificate Available
- Course author
- Joseph Santarcangelo
-
Explain Python Basics including Types, Expressions, and Variables.
Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets.
Apply Python programming using Branching, Loops, Functions, Objects & Classes.
Work with data in Python using Pandas and Numpy libraries.
Description
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries. This course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.
By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards your learning in any of the following programs:
IBM Applied AI Professional Certificate
Applied Data Science Specialization
IBM Data Science Professional Certificate
Upon completion of any of the above programs, in addition to earning a Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.
