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.
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IBMAbout this Course
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Learner Career Outcomes
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Flexible deadlines
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Shareable Certificate
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Beginner Level
Approx. 21 hours to complete
English
Subtitles: English, Korean, Arabic
What you will learn
Explain Python Basics including Types, Expressions, and Variables.
Describe Data Structures in Python including Lists, Tuples, Dictionaries, Sets.
Apply Python programming using Branching, Loops, Functions, Objects & Classes.
Work with data in Python using Pandas and Numpy libraries.
Skills you will gain
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Numpy
Learner Career Outcomes
15%
got a tangible career benefit from this course
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level
Approx. 21 hours to complete
English
Subtitles: English, Korean, Arabic
Offered by
IBM
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
Syllabus - What you will learn from this course
2 hours to complete
Python Basics
This module teaches the basics of Python and begins by exploring some of the different data types such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the many different ways to manipulate strings.
2 hours to complete
3 videos (Total 11 min), 1 reading, 6 quizzes
3 hours to complete
Python Data Structures
This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.
3 hours to complete
3 videos (Total 17 min)
5 hours to complete
Python Programming Fundamentals
This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.
5 hours to complete
5 videos (Total 45 min)
6 hours to complete
Working with Data in Python
This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.
6 hours to complete
6 videos (Total 30 min)
Reviews
- 5 stars71.79%
- 4 stars20.92%
- 3 stars4.52%
- 2 stars1.49%
- 1 star1.25%
TOP REVIEWS FROM PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
by RKJun 15, 2020
It's been a very exciting journey and last project was just awesome... It's gives me real world problem. Videos are short and a lot informations provided in that. can't wait for the next course.....
by MAJul 29, 2021
Great course! easily accessible online Labs for immediate practice. No need to waste time dealing with the issues that come up when downloading, installing & setting up a development environment.
by WLMar 13, 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 ASJun 20, 2020
Excellent course I loved it the way of explanation of every topic wow coursera I love you I love.... You I wish you will provide more free courses through financial aid due to my poor background
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