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

What you will learn

  • 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

Skills you will gain

Data SciencePython ProgrammingData AnalysisPandasNumpy

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 Up92%(22,753 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

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Frequently Asked Questions

  • 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:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
  • 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.

  • 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 

  • 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. 

  • 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.