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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:

Explanatory Visualization with D3

Overview Motivating Example Key Concepts Example: A Static Line Graph

Advanced D3

A Straightforward Scatter plot in D3 Customization: Axes Customization: Coloring Data points Easier D3 with NVD3 Summary Integrate angular.js with D3 for a cool interactive bar chart On the web - live-query a backend Do it in Python: the Bokeh Server Do it on the Web: D3.js and AJAX calls.

Visualizing Large / High Dimensional Data sets

Unique Concerns with Large Data PCA And Dimensionality Reduction Using Pandas to filter and downsample for visualization

Exploratory Visualization

Python visualization tools Describing a distribution Histograms Box plots and Violin Plots Relationships between variables Non-obvious patterns in the data Interactivity in visualizations When to use Jupyter notebooks Layering information Being creative Answering the second and third question

Overview of Data Visualization

Introduction Pandas plots Bokeh

JS Visualization in Python

JS Callbacks in Bokeh Folium

An HTML Primer

Data-Driven Documents (A) Create document manually, using DOM Code and output: (B) Create document with D3 Code and output: Explanation add interactivity : font size toggle continue Manipulating Data with Javascript Live-updating visualizations

A Javascript Primer

Basic syntax Basic DOM Manipulation Event-Driven Programming and Callbacks A few important libraries and symbols they introduce

Visualization Theory

Different types of data for visualization purposes Seven categories of visual cues Generic algorithm for creating a visualization Examples, good and bad Practical considerations Dealing with multiple scales Notes on storytelling Overlaying numbers and labels

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

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

"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.

"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

"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."