Online Course bestseller free
Introduction to Python

Learn to code in Python: the most popular and widely used programming language

4.9

808 reviews on
57816 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 (2 hours)
  • Practice exams (25 minutes)
  • Projects (1 hour)

CPE credits:

5
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

  • Gain a proper introduction to the world of Python programming.
  • Master variables, data types, and conditional statements.
  • Solve practical Python exercises alongside the instructor.
  • Build your first Python program to tackle real‑world tasks.
  • Familiarize yourself with advanced Python programming techniques.

Topics & tools

theoryjupyterprogrammingpython

Your instructor

Course OVERVIEW

Description

CPE Credits: 5 Field of Study: Information Technology
Delivery Method: QAS Self Study
Python is one of the most widely used programming languages among data scientists. This course will show you the technical advantages it has over other programming languages. You will start working with its modules for scientific computing, and you will begin to understand why these functionalities make Python the preferred choice in finance, econometrics, economics, data science, and machine learning.

Prerequisites

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

Advanced preparation

  • None

Curriculum

45 lessons 55 exercises 1 project 4 exams

Free preview

Course Introduction

1.1 Course Introduction

5 min

Setting Up the Environment

1.2 Setting Up the Environment

1 min

Python Variables

2.1 Python Variables

5 min

Understanding Numbers and Boolean Values

2.4 Understanding Numbers and Boolean Values

3 min

Strings

2.8 Strings

6 min

The Arithmetic Operators of Python

3.1 The Arithmetic Operators of Python

3 min

Start for free

96%

of our students recommend

365 Data Science.

$29,000

average salary increase

after moving to an AI and data science career

9 in 10

of our graduates landed a new AI & data job

after enrollment

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
A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

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.

Try for free

Exercises

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

Try for free

Projects

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

Try for free

Practice Exams

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

Try for free

AI Mock Interviews

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

Try for free

Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.