About this Course
720,883 recent views

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 10 hours to complete

Suggested: 13 hours/week...

English

Subtitles: English, German

Skills you will gain

Data SciencePython ProgrammingNumpyPandas

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 10 hours to complete

Suggested: 13 hours/week...

English

Subtitles: English, German

Syllabus - What you will learn from this course

Week
1
3 hours to complete

Python Basics

...
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
5 hours to complete

Python Data Structures

...
3 videos (Total 16 min), 7 quizzes
3 videos
Dictionaries2m
Sets5m
3 practice exercises
List and Tuples18m
Dictionaries6m
Sets6m
Week
3
5 hours to complete

Python Programming Fundamentals

...
4 videos (Total 41 min), 8 quizzes
4 videos
Loops6m
Functions13m
Objects and Classes10m
4 practice exercises
Conditions and Branching6m
Loops8m
Functions10m
Objects and Classes6m
Week
4
4 hours to complete

Working with Data in Python

...
6 videos (Total 31 min), 9 quizzes
6 videos
Writing Files with Open2m
Loading Data with Pandas4m
Pandas: Working with and Saving Data2m
One Dimensional Numpy11m
Two Dimensional Numpy7m
5 practice exercises
Reading Files with Open6m
Writing files with open6m
Pandas6m
One Dimensional Numpy6m
Two Dimensional Numpy6m
4.6
723 ReviewsChevron Right

45%

started a new career after completing these courses

41%

got a tangible career benefit from this course

Top reviews from Python for Data Science

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.

By SSDec 7th 2018

With MATLAB being my programming fluency, Python was very confusing at times.\n\nThis was the course I needed to explain the most common data types in python in a clear and very concise manner.

Instructors

Avatar

Joseph Santarcangelo

Ph.D., Data Scientist at IBM
IBM Developer Skills Network
Avatar

Rav Ahuja

Data Science Program Manager
IBM

About IBM

IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame....

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.

More questions? Visit the Learner Help Center.