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
IBM Skills NetworkAbout this Course
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Learner Career Outcomes
10%
started a new career after completing these courses
13%
got a tangible career benefit from this course
Flexible deadlines
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Shareable Certificate
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100% online
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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
10%
started a new career after completing these courses
13%
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 Skills Network
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 stars71.71%
- 4 stars20.97%
- 3 stars4.54%
- 2 stars1.49%
- 1 star1.26%
TOP REVIEWS FROM PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
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 JEMay 30, 2019
The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.
by PPSep 30, 2020
I liked the course as it gives a quick introduction to the concepts of python and its libraries Pandas and Numpy. I really enjoyed doing lab work using IBM Watson Studio. It was a great experience.
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.....
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