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Data Visualization

Discover how data visualization can communicate insights far more effectively than text or tables. In this course, you’ll learn how to build data visualizations programmatically using Python, and how you can use visualization to both discover and convey trends in your data.
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  • DAYS
  • HRS
  • MIN
  • SEC
  • Estimated Time
    16 hours

  • Enroll by
    June 29, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    Basic Python skills, statistics and probability concepts

What You Will Learn


Data Visualization

Data visualization allows us to instantly see patterns in data that would otherwise be impossible to detect. Without visualization, humans would be unable to make sense of even small amounts of data, let alone the trillions of megabytes now generated every day. In this course, you’ll learn how to create illuminating charts of your data analyses, so you can convey findings to others in the most impactful way possible.

In this course, you’ll learn how to create illuminating charts of your data analyses, so you can convey findings to others in the most impactful way possible.

Prerequisite Knowledge

Basic Python skill, statistics and probability concepts.

  • Data Visualization in Data Analysis

    Understand why visualization is important in the practice of data analysis and know what distinguishes exploratory analysis from Explanatory analysis and the role of data visualization in each.

  • Design of Visualizations

    Interpret features in terms of level of measurement and know different encodings that can be used to depict data in visualizations.

  • Univariate Exploration of Data

    Use bar charts to depict distributions of categorical variables.

  • Bivariate Exploration of Data

    Use scatterplots to depict relationships between numeric variables.

  • Multivariate Exploration of Data

    Use encodings like size, shape and color to encode values of a third variable in a visualization.

  • Explanatory Visulizations

    Understand what it means to tell a compelling story with data and choose the best plot type, encodings and annotations to polish your plots.

  • Visulization Case Study

    Apply your knowledge of data visualization to a dataset involving the characteristics of diamonds and their prices.

  • Course Project: Communicate Data Findings

    Real-world data rarely comes clean. Using Python, you’ll gather data from a variety of sources, assess its quality and tidiness, then clean it. You’ll document your wrangling efforts in a Jupyter Notebook, plus showcase them through analyses and visualizations using Python and SQL.

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of companies plan to increase positions requiring data analysis skills.


Introducing new Udacity Single Courses

Our students asked and we listened. You can now get the in-demand tech skills you need faster and for less money by enrolling in one of our new, one-month Single Courses. You’ll get the specific job-ready skills you need in as little as four weeks and for a fraction of the cost.

Of course if you are looking for a more robust, in-depth education, you can still enroll in one of our 3-6 month Nanodegree programs.

Both programs are part-time and online, and they both offer 24/7 support, quality Udacity-produced content, courses created with the help of top tech companies, and more. You can always start with a Single Course and upgrade to a full Nanodegree program if you like.

All Our Courses Include

Real-world projects from industry experts

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

Workspaces to see your code in action

Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
Flexible learning program

Flexible learning program

Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Course OfferingsFull list of offerings included:
Enrollment Includes:
Class content
Real-world projects
Project reviews
Project feedback from experienced reviewers
Student services
Technical mentor support
Student community
Succeed with personalized services.
We provide services customized for your needs at every step of your learning journey to ensure your success.
Get timely feedback on your projects.
Reviews By the numbers
1,400+ project reviewers
2.7M projects reviewed
88/100 reviewer rating
1.1 hours avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Mentors available to answer your questions.
Mentors by the numbers
1,400+ technical mentors
0.85 hours median response time
Mentorship Services
  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors

Data Visualization

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  • Monthly access

    Pay as you go




    Enroll now
    • Maximum flexibility to learn at your own pace.
    • Cancel anytime.
  • Learn

    How to build clear, impactful data visualizations using Python’s Matplotlib library.
  • Average Time

    On average, successful students take 16 hours to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support

Program Details

  • Do I need to apply? What are the admission criteria?
    No. This Course accepts all applicants regardless of experience and specific background.
  • What are the prerequisites for enrollment?

    A well-prepared student should:

    • Be able to use Anaconda to manage packages and environments for use with Python
    • Be able to use Jupyter notebook to combine explanatory text, math equations, code, and visualizations in one sharable document
    • Have basic Python skill: use NumPy and Pandas to wrangle, explore, analyze, and visualize data
    • Be familiar with basic statistics and probability concepts such as linear regression, the normal distribution
  • How is this course structured?
    The Data Visualization course is comprised of content and curriculum to support one project. We estimate that students can complete the program in 16 hours.

    The project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
  • How long is this course?
    Access to this course runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our programs.
  • Can I switch my start date? Can I get a refund?
    Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
  • What software and versions will I need in this course?
    You will need access to the Internet, and a 64 bit computer. Additional software such as Python and its common data analysis libraries (e.g., Numpy and Pandas) will be required, but the program will guide students on how to download once the course has begun.

Data Visualization

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