“The learning paths on Dataquest are incredible. They give you a direction through the learning process – you don’t have to guess what to learn next.”

Otávio Silveira

Data Analyst @ Hortifruti

Course overview

This interactive Python course for beginners develops fundamental data science skills to help you begin your journey to become a successful data professional. In this course, you’ll learn basic arithmetic, how to write code using Python syntax, and work with different types of data. In addition, you’ll be introduced to fundamental programming concepts like iteration and conditional statements.

Best of all, you’ll learn by doing — you’ll write code and get feedback directly in the browser.

Key skills

  • Save and update values using variables
  • Process numerical data and text data
  • Create and update lists using Python
  • Repeat a process using a for loop
  • Use logical and comparison operators to apply conditions to data
  • Complete a project using Jupyter Notebook

Course outline

Introduction to Python Programming [6 lessons]

Writing Our First Python Program 2h

Lesson Objectives
  • Save values using variables
  • Perform arithmetic operations
  • Update variables
  • Print values
  • Write informative comments

Fundamental Data Types 2h

Lesson Objectives
  • Process numerical data
  • Process text data
  • Process logical data
  • Convert data types

Lists 2h

Lesson Objectives
  • Employ lists in Python
  • Index and slice lists
  • Retrieve values from lists
  • Employ list of lists in Python

Iteration 2h

Lesson Objectives
  • Define the structure a for loop
  • Open a dataset using Python
  • Repeat a process using a for loop
  • Analyze data using a for loop

Control Flow 2h

Lesson Objectives
  • Apply conditions to data using if, else, and elif statements
  • Employ logical operators
  • Employ comparison operators
  • Employ multiple conditional statements

Guided Project: Kaggle Data Science Survey 2h

Lesson Objectives
  • Explain the context of the problem
  • Understand how to use a Jupyter notebook
  • Clean the dataset
  • Analyze the dataset
  • Summarize findings

Projects in this course

Guided Project: Kaggle Data Science Survey

For this project, we’ll act as a data analyst for Kaggle. Kaggle surveyed a large population of data scientists and asked them about their current career status and the various skills they use. Our goal is to analyze this dataset and learn what skills are necessary for becoming a solid data scientist.

The Dataquest guarantee


Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.


We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

Master skills faster with Dataquest

Go from zero to job-ready

Go from zero to job-ready

Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.

Build your project portfolio

Build your project portfolio

Build confidence with our in-depth projects, and show off your data skills.

Challenge yourself with exercises

Challenge yourself with exercises

Work with real data from day one with interactive lessons and hands-on exercises.

Showcase your path certification

Showcase your path certification

Impress employers by completing a capstone project and certifying it with an expert review.

Learning resources

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Grow your career with

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for learners who complete a path

Aaron Melton

Business Analyst at Aditi Consulting

“Dataquest starts at the most basic level, so a beginner can understand the concepts. I tried learning to code before, using Codecademy and Coursera. I struggled because I had no background in coding, and I was spending a lot of time Googling. Dataquest helped me actually learn.”


Jessica Ko

Machine Learning Engineer at Twitter

“I liked the interactive environment on Dataquest. The material was clear and well organized. I spent more time practicing then watching videos and it made me want to keep learning.”


Victoria E. Guzik

Associate Data Scientist at Callisto Media

“I really love learning on Dataquest. I looked into a couple of other options and I found that they were much too handhold-y and fill in the blank relative to Dataquest’s method. The projects on Dataquest were key to getting my job. I doubled my income!”

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