About this Course
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.
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.
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 and collect data using API's and web scraping
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.
Approx. 21 hours to complete
English
Subtitles: English, Korean, Arabic
Instructor
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
Week 1
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.
3 videos (Total 11 min), 1 reading, 6 quizzes
Week 2
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.
Week 3
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.
Week 4
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.
Reviews
5 stars
71.69%
4 stars
20.95%
3 stars
4.58%
2 stars
1.49%
1 star
1.27%
TOP REVIEWS FROM PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
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 CBMay 22, 2020
This course is basically designed for beginner who wants to start with python. So it covers most the stuffs a beginner wants to know. But nothing related to datascience and AI I found in this course.
by PKSep 23, 2019
it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.
by PASep 8, 2021
A nice introduction to Python! I would have liked assignments that were a little more in-depth, but other than that the course content was well laid out, easy to understand, and a solid foundation.
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