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Course Details

Course Code: PY0101EN

Audience: Anyone

Course Level: Beginner

Time to Complete: 5 hours

Learning Path: Applied Data Science with Python

About the Course

This course will kickstart your learning of ‘Python for Data Science’, as well as programming. This beginner-friendly course makes you proficient at programming in Python in only a few hours.

Upon its completion, you will be able to write your own Python scripts and perform basic hands-on data analyses using the Jupyter-based lab environment.

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 make the most of the platform.

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

General Information

Self-paced
Flexible enrolment
Audit multiple times
ONE chance to pass course, multiple attempts per question allowed

Existing Recommended Skills

Basic Math

Course Staff

Joseph Santarcangelo Ph.D.

Joseph has a Ph.D. in Electrical Engineering. His research focuses on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.

Other Contributors

James Reeve, Daniel Rudnitski, John Gerassimou and Agatha Colangelo have also contributed.