Python for Data Analytics 101 (PD101)

About the course

This beginner-friendly course introduces you to both Python programming and data analysis from the ground up. You will learn how to work with real-world data, understand how it is structured, and apply Python to collect, clean, organize, analyze, and present data in a clear and meaningful way.

In today’s AI-driven world, data is the foundation of everything – from dashboards to machine learning models. This course helps you understand how data becomes information and how information becomes insight, giving you the essential skills needed to work with modern technologies.

By completing this course, you will be prepared to take the PCED™ – Certified Entry-Level Data Analyst with Python certification and take your first step toward careers in data analytics, AI, business intelligence, and technology.

This course is structured to help you learn both conceptually and practically. As you move through the modules, you will build knowledge, apply it in hands-on activities, and check your understanding along the way. Here’s what you can expect:

• Modules – the course is divided into five structured modules, each focused on a major stage of the data analytics workflow.
• Lessons – each module contains focused, step-by-step lessons that introduce concepts in a clear and beginner-friendly way.
• Interactive Features – in the premium version, lessons include quizzes, coding tasks, and practice activities to help you apply what you learn.
• Module Projects – at the end of each module, you will complete a practical project based on realistic data scenarios.
• Module Tests – each module ends with a test that helps you assess your understanding before moving on.
• Final Assessment – at the end of the course, you will complete a final assessment that brings together the most important skills and concepts from the full course.

Prerequisites

There are no prerequisites for this course. It is fully self-contained and introduces both Python programming and data analysis concepts step by step.

Associated Certification

Prior Experience Recommended:

Entry

PCED-30-0x

Certified Entry-Level Data Analyst with Python

Associate

PCAD-31-0x

Certified Associate Data Analyst with Python

Course Overwiev

Here’s an overview of the course structure:

Go Pro for Hands-on Practice & Course Diploma

The Pro version of the course includes a Diploma of Course Completion and gives you access to 40+ hands-on labs, interactive exercises, and quizzes designed to reinforce your learning and help you apply concepts in real-world scenarios. It also supports your preparation for the PCED™ certification exam by providing practical experience aligned with exam objectives.

Python code example

Here’s a real snippet from the course so you can see how we learn in practice. In just a few lines of Python, you’ll discover how variables work — how data like numbers and text can be stored, named, and reused throughout your code. It’s the first step toward writing programs that actually do something useful, not just print lines on a screen:

Source Code:

variables.py

# This is a comment! Python ignores lines starting with #.
# We use them to explain our code to other humans.
    
# Here, we are storing the number 25 in a variable named 'age'
age = 25
    
# Here, we are storing the text "Alice" in a variable named 'name'
name = "Alice"
    
# Now we can use the labels to see what is inside!
print(age)   # This will show 25
print(name)  # This will show Alice

Output

Console

25
Alice

Think of variables as labeled boxes where you store information:

• age = 25: a box labeled age containing the number 25.
• name = "Alice": a box labeled "name" containing the text Alice.

When you use print() function, you’re simply asking Python to look inside those boxes and show you what’s stored there. It’s your first tool for checking what your program is doing while it runs.