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IBM

Python Basics for Data Science

IBM via edX

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Overview

Please Note: Learners who successfully complete this IBM course can earn a skill badge —a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

Kickstart your learning of Python for data science, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python. ~~~~

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.

Syllabus

Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations

Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries

Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes

Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays

Taught by

Joseph Santarcangelo

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Reviews

2.8 rating, based on 4 Class Central reviews

4.4 rating at edX based on 835 ratings

Start your review of Python Basics for Data Science

  • Profile image for Berbelek
    Berbelek @berbelek
    It took me about 5h to complete the course. I know Python a bit and made it just to refresh some basic concepts, put some ideas in a proper order; also to prepare for other courses in the series.
    I think this course may be quite fast and easy introduction for people who know nothing about Python. Videos are clear and consice, there is also some practice made in prepared Jupyter notebooks.
    As edX edition of the course did not offer access to Graded Review Questions, I've moved to CognitiveClass platform (by IBM) where the course if available for free including certificates, without any limitations.
  • Anonymous
    Gives you a base of python, very soft base, but it helps. Is perfect for beginners. I recommend it. Is easy and fast to have the certificate
  • Anonymous
    Nothing to offer at all, you are just losing your time with it. If you don't know about programming or python you can't follow the pace of the course. If you know the basics it will not add any new knowledge to you. 0 coding problems to solve. Just…
  • Anonymous
    The videos are relatively short, and I don't think the exercises are sufficient to reinforce new concepts for a beginner, who is clearly the audience. You're better off taking a longer intro Python class.
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