Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
Offered By
IBMAbout 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. 29 hours to complete
English
Subtitles: Vietnamese, German, English, Spanish, Persian
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. 29 hours to complete
English
Subtitles: Vietnamese, German, English, Spanish, Persian
Offered by
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.
Syllabus - What you will learn from this course
4 hours to complete
Python Basics
4 hours to complete
3 videos (Total 11 min), 1 reading, 5 quizzes
1 reading
About this Course10m
3 practice exercises
Types30m
Expressions and Variables30m
String Operations30m
6 hours to complete
Python Data Structures
6 hours to complete
3 videos (Total 17 min)
3 practice exercises
List and Tuples30m
Dictionaries30m
Sets30m
7 hours to complete
Python Programming Fundamentals
7 hours to complete
4 videos (Total 41 min)
4 practice exercises
Conditions and Branching30m
Loops30m
Functions30m
Objects and Classes30m
10 hours to complete
Working with Data in Python
10 hours to complete
8 videos (Total 41 min)
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
5 practice exercises
Reading Files with Open30m
Writing files with open30m
Pandas30m
One Dimensional Numpy30m
Two Dimensional Numpy30m
Reviews
TOP REVIEWS FROM PYTHON FOR DATA SCIENCE AND AI
by RTAug 19, 2019
-Good Course for basics of python and intro to Pandas and Numpy -More exercises related to Pandas and Numpy would be good for practice.\n\n-The course isn't updated with the latest UI of IBM Watson
by KHJan 26, 2020
A solid introduction to Python in general. It can help you start getting acquainted with how programming languages work in general and gives a good overview of how Python can be used for data science.
by HMNov 17, 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 SMJul 20, 2020
Great Course work just more needs to be explained. I searched a lot to find more information as a beginner. But a great introduction will recommend it if you're starting out without any experience.
Frequently Asked Questions
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Certificate?
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.
How can I earn an IBM Badge?
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
What will I learn in this course?
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.
Will I earn university credit for completing the Course?
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.
