IBM - Python for Data Science, AI & Development
4.7 /5- Offered byCoursera
Python for Data Science, AI & Development at Coursera Overview
Python for Data Science, AI & Development
at Coursera
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python offered by IBM
Duration | 19 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, AI & Development at Coursera Highlights
Python for Data Science, AI & Development
at Coursera
- Earn a certificate of completion from IBM
- Get a 14 days refund period
- Apply your skills with hands-on projects
- Learn on your own schedule
- Get course videos and readings
- Learn from graded quizzes and assignments
- Unlimited access to all 6 courses
Read more
Python for Data Science, AI & Development at Coursera Course details
Python for Data Science, AI & Development
at Coursera
Skills you will learn
What are the course deliverables?
- Build your first program in Python
- Learn about Python fundamentals, Python data structures, and working with data in Python
- Become familiar with key Python functions, objects, and classes
- Gain career skills in one of the world's most popular programming languages
More about this course
- This course can be applied to multiple Specializations or Professional Certificates programs
Python for Data Science, AI & Development at Coursera Curriculum
Python for Data Science, AI & Development
at Coursera
Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations
Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries
Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes
Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Numpy
Python for Data Science, AI & Development at Coursera Admission Process
Python for Data Science, AI & Development
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
Other courses offered by Coursera
– / –
3 months
Beginner
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S
Shristy Srivastava
Python for Data Science, AI & Development
Offered by Coursera
4
Learning Experience: Excellent study material and best teaching
Faculty: Nice taught by teacher
Assessment are good and little bit tricky
Reviewed on 28 Feb 2023Read More
A
Aniket Patil
Python for Data Science, AI & Development
Offered by Coursera
5
Learning Experience: learning experience was very good. concepts like dataframe handling, pandas, numpy, file handling. videos are not so long so uts easy to concentrate and learn.
Faculty: course consist of recorded videos. recording was neat and easy to understand. every topic was consist of bit size videos so its easy to digest.
course consist of 4 section and after every section there is a test on that section. after all section completed there is final test covering all the syllabus.
Course Support: previously i was working in mechanical sector but after course i am able to work as data scientist
Reviewed on 28 Jan 2023Read More
S
Suchandra Kundu
Python for Data Science, AI & Development
Offered by Coursera
5
Learning Experience: Very good experience. Would love to do more courses with them
Faculty: Faculty was too good. Want to learn more from them.
Curriculum was easy and enough help was provided
Course Support: Na
Reviewed on 28 Dec 2022Read More
S
Shivam Sharma
Python for Data Science, AI & Development
Offered by Coursera
5
Learning Experience: IBM has done a wonderful job on the course content. They provide IBM cloud access.
Faculty: Faculty members are very much experienced. There were no live sessions. Quality of lectures are really good.
Course curriculum is very good. It has weekly assessments and assignments.
Reviewed on 25 Nov 2022Read More
S
Shrishail Donaj
Python for Data Science, AI & Development
Offered by Coursera
4
Learning Experience: It was great learning experience, the topics they have covered all the concepts, Skills- Pandas, Bumpy, Matplotlib Seaborn etc
Faculty: They were great in turms of teaching
The course curriculum is also good, at end of the course they conducted one assessment test and I have cleared it
Course Support: They have provided a certificate which helped me to get into new job and changed my domains as well
Reviewed on 9 Oct 2022Read More
View All 15 Reviews
Python for Data Science, AI & Development
at Coursera
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