The Data Incubator

Data Scientist: The Sexiest Job
of the 21st Century
Harvard Business Review

Data Visualization Online Course

Three-week Data Visualization Course

Data science is about helping humans understand the story behind the data, and visualizations provide a powerful tool for helping the analyst understand and communicate that story. Students in The Data Incubator's three-week, part-time Data Visualization course discuss the biases and limitations of both visual and statistical analysis to promote a more holistic approach. This course uses the same rigorous methodology as our Fellowship program.

Experienced teachers

Learn from The Data Incubator's experienced data science instructors dedicated to teaching data analytics.

Jumpstart your career

Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.

Designed for working professionals

This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.

Live lectures

Live lectures allow you to ask your instructor questions and interact with your classmates.

Curriculum

Prerequisites:

  • Elementary programming knowledge

Target Audience:

This course is for you if:

  • You have taken our Data Science Foundations or Machine Learning course and want to strengthen your data visualizations skills
  • You are interested in presenting data-driven narratives and want to learn essential data visualization skills
  • You are a researcher, analyst, or data scientist interested in developing data-driven applications
  • You frequently interpret data for non-technical colleagues

Learning Outcomes:

Upon completion of this course, you will:

  • Prioritize data elements and trends according to appropriate elements of visual hierarchy
  • Use visualizations to guide statistical inference, machine learning, or other analyses
  • Use JavaScript to develop dynamic and data-driven documents and visualizations
  • Communicate quantitative insights to non-technical audiences using explanatory visuals

Course Outline:

Sign up

Sign up for the Data Visualization Online Course

The next Data Visualization Online Course will run from 2019-02-18 to 2019-03-06. Classes are generally held on Mondays and Wednesdays from 6:30-9:30 PM ET / 3:30-6:30 PM PT, with some exceptions for holidays. The deadline for registration is 2019-02-08. The course tuition is $1695 with early-bird discounts available.

The exact dates for the next session will be: 2/18, 2/20, 2/25, 2/27, 3/4, 3/6

Learn More
Climb Credit

Interested in the course but need help with financing? We've partnered with Climb Credit to help. Climb offers affordable, 3-year financing with fixed interest rates and low monthly payments. Apply online and get a decision same-day with no impact on your credit. Have questions about how it works? Check out their FAQ.

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Testimonials

Christian Templeton

"The data science skills I sharpened at The Data Incubator helped me analyze diversity in STEM education, model SaaS stock prices, and compare industry growth rates. The instructor's background in quantitative finance made for relevant use cases that benefit not only data scientists, but also data-driven finance people like myself."

Christian Templeton, Google

Formerly Salesforce, Symantec. Accepted to The Data Incubator Fellowship.

Michelle Miller

"From day one I was getting my hands dirty working with data using industry-relevant tools. Having completed the program I'm now better equipped to manage engineering and product teams, and able to conduct sophisticated ad-hoc analysis. Everyone at TDI blew me away; truly exceptional."

Michelle Miller, Hack Reactor

Formerly Berkeley, Smithsonian

David Kwon

"Their heavy focus on applied learning meant that I was working on real data and solving real problems right from the start. While lectures were a valuable component of their courses, the real learning took place while working on projects. These projects were practical, engaging, and instructive, and generally great opportunities to get hands-on experience with what I had learned in the lectures."

David Kwon, Yelp

Formerly University of California, Berkeley

With loads of data you will find relationships that aren’t real.
Big data isn’t about bits,
it’s about talent.
Forbes Magazine

Curriculum built with feedback from over 250 industry partners:

Yelp
Flatiron Health
Foursquare
Mashable
Genetech
NY Times
Capital One
Pfizer
1010data
Microsoft
Ebay
JP Morgan

A few of our press mentions: