Data Scientist: The Sexiest JobHarvard Business Review
of the 21st Century
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.
Learn from The Data Incubator's experienced data science instructors dedicated to teaching data analytics.
Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.
This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.
Live lectures allow you to ask your instructor questions and interact with your classmates.
This course is for you if:
Upon completion of this course, you will:
The next session of our Data Visualization with Python online course will be held in June 2019. Please enter your information in the form below to sign up for updates about the course and to receive a syllabus. You'll also be notified as soon as registration is available and gain access to special discounts.
Interested in the course but need help with financing? We've partnered with Climb Credit to help. Climb offers 3-year financing with fixed interest rates and 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.
"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."
"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."
"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."
With loads of data you will find relationships that aren’t real.Forbes Magazine
Big data isn’t about bits,
it’s about talent.