“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 builds upon the fundamentals of Python taught in Introduction to Python. You’ll learn to repeat a process using “for loops”; how to use conditional statements such as if, else, and elif; how to employ logical operators and comparison operators. You’ll also learn how to create Python dictionaries, which are important data structures in Python that help gather elements for identification using a key. Finally, you’ll build frequency tables, which help to display the frequencies of different categories (particularly useful for understanding the distribution of values in a dataset).

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

  • Repeating a process using a for loop
  • Employing if, else, and elif statements
  • Employing logical operators and comparison operators
  • Creating Python dictionaries
  • Building frequency tables

Course outline

Basic Operators and Data Structures in Python [5 lessons]

Python For Loops 2h

Lesson Objectives
  • Structure a for loop
  • Open a dataset using Python
  • Repeat a process using a for loop
  • Analyze data using a for loop

Python If, Else, Elif Statements 1h

Lesson Objectives
  • Employ if, else, and elif statements
  • Employ logical operators
  • Employ comparison operators

Python If, Else, Elif Statements: Multiple Conditions 2h

Lesson Objectives
  • Employ if, else, and elif statements
  • Employ logical operators
  • Employ comparison operators
  • Employ multiple conditional statements

Python Dictionaries 1h

Lesson Objectives
  • Create dictionaries
  • Index dictionaries
  • Define key-value pairs

Python Dictionaries and Frequency Tables 2h

Lesson Objectives
  • Update dictionary values
  • Check for values in a dictionary
  • Count with dictionaries
  • Loop over dictionaries

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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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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