Data Visualization

Course

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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06Days04Hrs31Min41Sec

Estimated time
16 hours
Enroll by
October 12, 2022
Get access to classroom immediately on enrollment
Prerequisites
Basic Python skills, statistics and probability concepts

What You Will Learn

Data Visualization
16 hours to complete
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.
Prerequisite knowledge
1. 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.
2. Design of Visualizations
  Interpret features in terms of level of measurement and know different encodings that can be used to depict data in visualizations.
3. Univariate Exploration of Data
  Use bar charts to depict distributions of categorical variables.
4. Bivariate Exploration of Data
  Use scatterplots to depict relationships between numeric variables.
5. Multivariate Exploration of Data
  Use encodings like size, shape and color to encode values of a third variable in a visualization.
6. 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.
7. Visulization Case Study
  Apply your knowledge of data visualization to a dataset involving the characteristics of diamonds and their prices.
8. 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.

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 programs include:

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
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
Workspaces
Validate your understanding of concepts learned by checking the output and quality of your code in real-time.
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 offerings

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.

Personalized feedback
Unlimited submissions and feedback loops
Practical tips and industry best practices
Additional suggested resources to improve

1,400+
project reviewers
2.7M
projects reviewed
88/100
reviewer rating
1.1 hours
avg project review turnaround time

Mentors available to answer your questions.

Support for all your technical questions
Questions answered quickly by our team of technical mentors

1,400+
technical mentors
0.85 hours
median response time

Learn with the best.

Josh Bernhard
Data Scientist at Nerd Wallet
Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.
Mike Yi
Data Analyst Instructor
Mike is a content developer with a multidisciplinary academic background, including math, statistics, physics, and psychology. Previously, he worked on Udacity's Data Analyst Nanodegree program as a support lead.