4.6
stars
30,944 ratings

Joseph Santarcangelo

530,912 already enrolled

Offered By

Part of the Bachelor of Applied Arts and Sciences degree
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IBM Skills Network

About this Course

1,378,522 recent views

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.  
This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs.  

You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python.  

This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

No prior programming experience required!

Approx. 20 hours to complete

English

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What you will learn

Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.
Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.
Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.
Access web data using APIs and web scraping from Python in Jupyter Notebooks.

Skills you will gain

Data Science
Python Programming
Data Analysis
Pandas
Numpy

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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

No prior programming experience required!

Approx. 20 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.53/5 (6,036 Ratings)

Joseph Santarcangelo

Ph.D., Data Scientist at IBM

IBM Developer Skills Network

916,625 Learners

26 Courses

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.

Start working towards your Bachelor's degree

This course is part of the 100% online Bachelor of Applied Arts and Sciences from IBM Skills Network. If you are admitted to the full program, your courses count towards your degree learning.

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Syllabus - What you will learn from this course

Content Rating93%(58,663 ratings)

Week1

Week 1

2 hours to complete

Python Basics

2 hours to complete

3 videos (Total 11 min), 1 reading, 6 quizzes

Week2

Week 2

3 hours to complete

Python Data Structures

3 hours to complete

3 videos (Total 17 min)

Week3

Week 3

5 hours to complete

Python Programming Fundamentals

5 hours to complete

5 videos (Total 45 min)

Week4

Week 4

6 hours to complete

Working with Data in Python

6 hours to complete

6 videos (Total 30 min)

Reviews

4.6

5350 reviews

5 stars
71.79%
4 stars
20.83%
3 stars
4.60%
2 stars
1.49%
1 star
1.27%

TOP REVIEWS FROM PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT

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 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.

by MAMay 16, 2020

The syllabus of the course takes you in a roller-coaster ride.

From basic level to advance level and you won't feel any trouble nor hesitate a bit.

It's easy, it's vast, and it's really usefull.

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.

View all reviews

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.
What is the refund policy?
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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
- Applied Data Science Specialization
- IBM Data Science 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.

More questions? Visit the Learner Help Center.

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Python for Data Science, AI & Development

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What you will learn

Skills you will gain