Data Analysis and Visualization with Python

Data drives most businesses and industries, but only when expressed properly. Data without probability and statistics might as well be an alien language. Probability and statistics allow us to gather insights from data, predict trends, and form data-driven hypotheses about the future.

This skill path introduces the basics of statistical analysis using R, including sampling, working with variables, and understanding frequency distribution tables. Additionally, you’ll learn how to use probability for analysis, and how to create and test hypotheses using significance testing.

  • Use R for statistics sampling, measuring variables, and managing distributions
  • Learn the fundamentals of probability, Bayes’ theorem, and the Naive Bayes algorithm
  • Discover how to handle probability density functions and create and support hypotheses

Our students report a median $30k salary increase after learning with Dataquest! Join today!

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What You’ll Learn

In our Data Analysis and Visualization path, you’ll develop the skills to read and interpret data to identify patterns and trends and gain valuable insights. This path covers Python programming fundamentals, data cleaning and processing, and visualization — as well as manipulation, and reading and interpreting data.

After completing our hands-on guided projects and practice problems, you’ll be able to explore and analyze data using common visualization techniques. You’ll also be able to convey insights and tell a story.

Enroll in this skill path if you want to learn how to do the following:

  • Implement the fundamentals of programming in Python
  • Build for loops, work with lists, and use conditional statements in Python
  • Clean and analyze text data
  • Create and update your own dictionaries and functions
  • Build a portfolio project
  • Leverage vectorized operations to improve working with data
  • Visualize and explore data
  • Generate graphs using information design principles
  • Create storytelling data visualizations using Matplotlib
money in envelope

Data visualization salaries in the U.S. average $85K/yr according to Glassdoor

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The U.S. Bureau of Labor Statistics projects 28% growth in data science job skills by 2026.

Data analysts projected 20% growth between 2018 and 2028, according to Indeed

How Our Data Analysis and Visualization Path Works

Learning Python for data analysis and visualization with Dataquest can help you develop the analytical, management and design skills you need to translate large and complex datasets into easy-to-understand visual representations. To most people, a Dataframe, even if it’s clean and uniform, looks like an incomprehensible mess. That’s precisely why we’ve created this skill path⁠—to teach you the necessary data analysis and visualization skills to make data insightful.

To meet the high demand for data professionals who can handle all the data companies are collecting and processing, we teach you the skills you need to position yourself for job growth in the future.

This is why we teach the way we do. And this is why 97% of our learners prefer our teaching method. Because in order to truly gain the in-demand data visualization skills hiring managers are looking for, you need to be actually practicing those skills.

Additionally, with Dataquest, you’ll never learn alone. From our thriving community to our robust support tools, we offer a helping hand to guide you through any challenge or roadblock you may come across.

Here’s a quick glance at our Data Analysis and Visualization path:

Enroll in this career path to learn Python for data analysis and visualization!

Data Analysis and Visualization with Python Course List


Variables, Data Types, and Lists in Python

Learn the fundamentals of Python programming and data science.

For Loops and Conditional Statements in Python

Learn the fundamentals of Python programming and data science.

Dictionaries, Frequency Tables, and Functions in Python

Learn the fundamentals of Python programming and data science.

Python Functions and Jupyter Notebook

Learn the fundamentals of Python programming and data science.

Python for Data Science Intermediate

Learn important Python data science skills.

Pandas and NumPy Fundamentals

Learn Pandas and NumPy for data science in Python. Join over a million students who learn science career skills with Dataquest. Start for free today!

Data Visualization Fundamentals

Create powerful, compelling data visualizations using Python. Join over a million students developing data science skills with Dataquest. Start for free today!

Storytelling Through Data Visualization

Learn storytelling data visualization, information design principles, and advanced graph customization in Matplotlib.

Who Is This Data Analysis and Visualization Skill Path For?

Qualify for In-demand Jobs in Data Analysis and Visualization

Data analysis and visualization skills are applicable across many different industries and positions. The skills you’ll learn in this path can be used in the following in-demand data jobs: