IBM - Python for Data Science and AI
- Offered byCoursera
Python for Data Science and AI at Coursera Overview
Duration | 28 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Python for Data Science and AI at Coursera Highlights
- 27% started a new career after completing these courses.
- Earn a shareable certificate upon completion.
- Flexible deadlines according to your schedule.
Python for Data Science and AI at Coursera Course details
- 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.
Python for Data Science and AI at Coursera Curriculum
Python Basics
Types
Expressions and Variables
String Operations
About this Course
Types
Expressions and Variables
String Operations
Python Data Structures
List and Tuples
Dictionaries
Sets
List and Tuples
Dictionaries
Sets
Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes
Conditions and Branching
Loops
Functions
Objects and Classes
Working with Data in Python
Reading Files with Open
Writing Files with Open
Loading Data with Pandas
Pandas: Working with and Saving Data
One Dimensional Numpy
Two Dimensional Numpy
Simple APIs (Part 1)
Simple APIs (Part 2)
Reading Files with Open
Writing files with open
Pandas
One Dimensional Numpy
Two Dimensional Numpy
Analyzing US Economic Data and Building a Dashboard
IBM Digital Badge