About this Course

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Learner Career Outcomes

41%

started a new career after completing these courses

39%

got a tangible career benefit from this course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 13 hours to complete

Suggested: 13 hours/week...

English

Subtitles: English, Korean, German

Skills you will gain

Data SciencePython ProgrammingNumpyPandas

Learner Career Outcomes

41%

started a new career after completing these courses

39%

got a tangible career benefit from this course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 13 hours to complete

Suggested: 13 hours/week...

English

Subtitles: English, Korean, German

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(12,334 ratings)Info
Week
1

Week 1

3 hours to complete

Python Basics

3 hours to complete
3 videos (Total 11 min), 1 reading, 5 quizzes
3 videos
Expressions and Variables3m
String Operations3m
1 reading
About this Course10m
3 practice exercises
Types8m
Expressions and Variables8m
String Operations14m
Week
2

Week 2

5 hours to complete

Python Data Structures

5 hours to complete
3 videos (Total 17 min)
3 videos
Dictionaries2m
Sets5m
3 practice exercises
List and Tuples18m
Dictionaries6m
Sets6m
Week
3

Week 3

5 hours to complete

Python Programming Fundamentals

5 hours to complete
4 videos (Total 41 min)
4 videos
Loops6m
Functions13m
Objects and Classes10m
4 practice exercises
Conditions and Branching6m
Loops8m
Functions10m
Objects and Classes6m
Week
4

Week 4

7 hours to complete

Working with Data in Python

7 hours to complete
8 videos (Total 41 min), 1 reading, 11 quizzes
8 videos
Writing Files with Open2m
Loading Data with Pandas3m
Pandas: Working with and Saving Data2m
One Dimensional Numpy11m
Two Dimensional Numpy7m
Simple APIs (Part 1)5m
Simple APIs (Part 2)5m
1 reading
Using loc, iloc and ix10m
5 practice exercises
Reading Files with Open6m
Writing files with open6m
Pandas6m
One Dimensional Numpy6m
Two Dimensional Numpy6m
4.6
1,617 ReviewsChevron Right

Top reviews from Python for Data Science and AI

By HMNov 18th 2019

it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.

By WLMar 14th 2019

Every course has offered something interesting, challenging, and surprising. I am glad I have spent the time with this class. I would strongly recommend it to others with an interest in data science.

Instructor

Instructor rating4.56/5 (873 Ratings)Info
Image of instructor, Joseph Santarcangelo

Joseph Santarcangelo 

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
143,997 Learners
4 Courses

Offered by

IBM logo

IBM

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