Patrick

“It has been hard to find a resource with this combination of theory and coded examples, which is why I was so excited when I was introduced to Dataquest.”

Patrick Nelli

VP of Corporate Analytics @Health Catalyst

Path overview

In this path, you will gain experience in manipulating, comparing, and presenting compelling and actionable data and you’ll discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more.

Best of all, you’ll learn by doing — you’ll write code 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

  • Programming with Python to manipulate data
  • Using the Python libraries Pandas and NumPy for data analysis
  • Using the most common data visualization techniques to explore data
  • Using data visualization to convey insights and tell a story

Path outline

Part 1: Introduction to Python [4 courses]

Introduction to Python Programming 3h

Objectives
  • Write computer programs using Python
  • Save values using variables
  • Process numerical data and text data
  • Create lists using Python

Basic Operators and Data Structures in Python 5h

Objectives
  • Use for loops to repeat processes and conduct data analysis
  • Implement if, else, and elif statements in programming logic
  • Employ logical and comparison operators in Python
  • Develop and update Python dictionaries for data manipulation
  • Construct frequency tables using dictionaries for data analytics

Python Functions and Jupyter Notebook 5h

Objectives
  • Write Python functions
  • Debug functions
  • Define function arguments
  • Write functions that return multiple variables
  • Employ Jupyter notebook
  • Build a portfolio project

Intermediate Python for Data Science 8h

Objectives
  • Clean and analyze text data
  • Define object-oriented programming in Python
  • Process dates and times

Part 2: Data Analysis and Visualization with Python [3 courses]

Introduction to Pandas and NumPy for Data Analysis 13h

Objectives
  • Improve your workflow using vectorized operations
  • Select data by value using Boolean indexing
  • Analyze data using pandas and NumPy

Introduction to Data Visualization in Python 8h

Objectives
  • Visualize time series data with line plots
  • Define correlations and visualize them with scatter plots
  • Visualize frequency distributions with bar plots and histograms
  • Improve your exploratory data visualization workflow using pandas
  • Visualize multiple variables using Seaborn's relational plots

Telling Stories Using Data Visualization and Information Design 5h

Objectives
  • Create graphs using information design principles
  • Create narrative data visualizations using Matplotlib
  • Create visual patterns using Gestalt principles
  • Control attention using pre-attentive attributes
  • Employ Matplotlib's built-in styles

The Dataquest guarantee

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.

Money

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.

Projects in this path

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.

Guided Project: Exploring Hacker News Posts

For this project, we’ll be data analysts exploring Hacker News posts. We’ll use Python string manipulation, OOP, and date handling to analyze trends driving post popularity. Check out our Jupyter Notebook Guided Project if needed.

Guided Project: Exploring eBay Car Sales Data

For this project, we’ll assume the role of data analysts for a used car classifieds service to explore and clean a dataset of car listings from eBay Kleinanzeigen, a section of the German eBay website.

Guided Project: Finding Heavy Traffic Indicators on I-94

For this project, you’ll assume the role of a data analyst exploring a dataset on westbound traffic on the I-94 Interstate highway. You’ll apply exploratory data visualization techniques to determine indicators of heavy traffic.

Plus 1 more projects

Build your project portfolio with the Data Analyst in Python path.

Learning resources

Interested in pursuing one of the most in-demand career...
Read Article
What are 5 real-world tasks that cover most of the skil...
Read Article
Although it's a crucial skill for any data practitioner...
Read Article

Grow your career with
Dataquest.

98%
of learners recommend
Dataquest for career advancement
4.85
Dataquest rating
SwitchUp Best Bootcamps
$30k
Average salary boost
for learners who complete a path
Aaron

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.”

Jessi

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

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!”

Join 1M+ data learners on
Dataquest.

1

Create a free account

2

Choose a learning path

3

Complete exercises and projects

4

Advance your career

Start learning today