Online Course free
Python 101: Kickoff

Are you new to programming or curious about Python? This beginner-friendly course introduces you to the world of Python with a hands-on, step-by-step approach. No prior experience is needed—just bring your curiosity and learn how to code for beginners.

4.9

808 reviews on
917 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Basic

Duration:

2 hours
  • Lessons (1 hour)
  • Practice exams (30 minutes)

CPE credits:

2
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Understand and write basic Python code confidently.
  • Use variables, numbers, strings, and logical operators.
  • Read and debug simple Python errors effectively.
  • Write clean, well‑documented code using comments.
  • Build a strong foundation for advanced Python topics.

Topics & tools

printing outputhandling errorscode commentsbasic data typesoperatorsvariable assignmentf-string interpolationprogrammingpython

Your instructor

Course OVERVIEW

Description

CPE Credits: 2 Field of Study: Information Technology
Delivery Method: QAS Self Study

Are you curious about coding? Want to build a solid foundation in Python—the most popular programming language in the world today? Whether you’re a beginner or looking to strengthen the basics, Python 101: Kickoff is the perfect place to start your programming journey and learn Python. 


This hands-on course introduces you to Python’s core building blocks in a beginner-friendly and engaging way. Learn how to code for beginners as you write your first program, navigate common coding errors, work with numbers and text, and understand how variables and logic combine to make code work.

What’s included in the curriculum?


1. Foundations of Python Programming:
Start strong with an overview of Python’s popularity, real-world uses, and what you’ll learn in the course.


2. Print, Errors, and Comments:
Get your first taste of code by printing text, handling errors, and writing clean, well-documented code with comments.


3. Data Types and Operators:
Explore numeric data types (integers and floats) and arithmetic operations, and understand how operator precedence and associativity affect calculations.


4. Booleans and Logic:
Learn how to work with true/false values, comparison operators, and logical expressions—essential for controlling your code’s behavior.


5. Working with Strings:
Dive into text manipulation, escape characters, type casting, and string operations to bring dynamic output to your programs.


6. Variables and Assignments:
Utilize assignment operators to store data inside variables and change their values. Utilize string interpolation for more precise, readable code. 


7. Final Thoughts:
Wrap up the course with guidance on where to go next in your learning journey—like our follow-up course, Python 102: Power-Up.


Kick off your coding journey today with Python 101—because every expert coder was once a beginner!

Prerequisites

  • Jupyter Notebook or JupyterLab (available through anaconda.com or online platforms like Google Colab)

Advanced preparation

  • None

Curriculum

29 lessons 15 exercises 2 exams

Free preview

Welcome to the Course!

1.1 Welcome to the Course!

2 min

Why Python?

1.2 Why Python?

4 min

What Does the Course Cover?

1.3 What Does the Course Cover?

3 min

Start for free

94%

of AI and data science graduates

successfully change

or advance their careers.

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

9 in 10

people walk away career-ready

with practical data and AI skills.

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners
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How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

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