“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 course expands on our Introduction to Python  course, and our Basic Operators and Data Structures in Python course. You’ll learn how to write Python functions, build functions that employ multiple return statements and return multiple variables, as well as installing and using Jupyter Notebook. You’ll complete the course by creating a portfolio project on Profitable App Profiles for the App Store and Google Play Markets.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

Key skills

  • Writing Python functions
  • Writing functions with multiple inputs
  • Using and installing Jupyter Notebook
  • Performing real-world data analysis tasks in a guided project that you can add to your portfolio

Course outline

Python Functions and Jupyter Notebook [6 lessons]

Python Functions: Using Built-in Functions and Creating Functions 1h

Lesson Objectives
  • Define the structure of a function
  • Create your own functions
  • Employ built-in functions
  • Return values from a function call

Python Functions: Arguments, Parameters, and Debugging 2h

Lesson Objectives
  • Reuse a function with different data inputs
  • Specify multiple function parameters
  • Employ keyword and positional arguments
  • Combine functions
  • Debug functions

Python Functions: Built-in Functions and Multiple Return Statements 1h

Lesson Objectives
  • Troubleshoot interactions with built-in functions
  • Define default function arguments
  • Use official Python documentation
  • Employ multiple return statements

Python Functions: Returning Multiple Variables and Function Scopes 1h

Lesson Objectives
  • Return multiple variables
  • Define mutable and immutable data
  • Define function behavior
  • Define function scopes

Project: Learn and Install Jupyter Notebook 1h

Lesson Objectives
  • Define the basics of Jupyter Notebook
  • Install Jupyter Notebook locally

Guided Project: Profitable App Profiles for the App Store and Google Play Markets 4h

Lesson Objectives
  • Practice data science skills to expand your portfolio
  • Create business value using data science

Projects in this course

Project: Learn and Install Jupyter Notebook

For this project, you’ll take on the role of a Jupyter Notebook beginner. You’ll learn the essentials of running code, adding explanatory text, and installing Jupyter locally to prepare for real-world data projects.

Guided Project: Profitable App Profiles for the App Store and Google Play Markets

For this project, you’ll be a data analyst at a company that builds free, ad-supported Android and iOS apps. To drive revenue, you’ll analyze real app market data to find app profiles that attract the most users.

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.

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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