Python for Data Science, AI & Development
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.
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.
Syllabus
Syllabus - What you will learn from this course
Week 1
Python Basics
Week 2
Python Data Structures
Week 3
Python Programming Fundamentals
Week 4
Working with Data in Python
Week 5
APIs, and Data Collection
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
How can I earn an IBM Badge?
To earn an IBM Badge that recognizes your competence in Python for data science and AI, take this course as part of one of the following programs:
- IBM Applied AI Professional Certificate
- Applied Data Science Specialization
- IBM Data Science Professional Certificate
What will I learn in this course?
This course consists of four modules.
Module 1 - Python Basics
oYour first program
oTypes
oExpressions and Variables
oString Operations
Module 2 - Python Data Structures
oLists and Tuples
oSets
oDictionaries
Module 3 - Python Programming Fundamentals
oConditions and Branching
oLoops
oFunctions
oObjects and Classes
Module 4 - Working with Data in Python
oReading files with open
oWriting files with open
oLoading data with Pandas
oNumpy
Finally, you will create a project to test your skills.
Reviews
As a beginner, I have gained confidence in python programming with the help of this course. It has enabled me to use IBM watson for solving problems as well. I am happy to participate this course.
It was a fantastic learning experience, especially the project part and review mechanism is flawless. Could improve support related to IBM cloud-related queries. Otherwise overall a good experience.
Great Course work just more needs to be explained. I searched a lot to find more information as a beginner.
But a great introduction will recommend it if you're starting out without any experience.
A nice introduction to Python! I would have liked assignments that were a little more in-depth, but other than that the course content was well laid out, easy to understand, and a solid foundation.
