Free course python for data science

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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