Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.

About this Course
No prior programming experience required!
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat you will learn
Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.
Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.
Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.
Access web data using APIs and web scraping from Python in Jupyter Notebooks.
Skills you will gain
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Numpy
No prior programming experience required!
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Start working towards your Bachelor's degree
Syllabus - What you will learn from this course
Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
Reviews
- 5 stars71.77%
- 4 stars20.87%
- 3 stars4.60%
- 2 stars1.47%
- 1 star1.26%
TOP REVIEWS FROM PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.
The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.
Excellent course I loved it the way of explanation of every topic wow coursera I love you I love.... You
I wish you will provide more free courses through financial aid due to my poor background
-Good Course for basics of python and intro to Pandas and Numpy
-More exercises related to Pandas and Numpy would be good for practice.
-The course isn't updated with the latest UI of IBM Watson
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