Python Basics for Data Science

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

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Created by: Joseph Santarcangelo

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Course Description

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
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 get free access to Watson Studio. Start now and take advantage of this platform.
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

Beginner Level

Time: 1 Weeks - 2-5 hours per week

Instructor Details

Joseph Santarcangelo

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Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.