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

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 22 hours to complete

English

Subtitles: English, Korean, Vietnamese, 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

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 22 hours to complete

English

Subtitles: English, Korean, Vietnamese, German

Offered by

IBM logo

IBM

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(19,024 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

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.