Build Data Apps in Python and Plotly Dash

4.6

(85 ratings)

·

3 Weeks

·

Cohort-based Course

Learn how to build interactive web-based data apps in Dash (course is currently closed)

Course overview

Make Dash your most powerful toolkit for data analysis

These days, understanding data is key to making the best decisions for any business. However, the amount of information that’s available can be overwhelming for even the most data-savvy people.


So what’s the key to making data-driven decisions? Finding insight from data by formatting it in a way that’s easy to understand.


One of the easiest ways to present data for technical and non-technical audiences is to create a dashboard that neatly displays all of your data visualizations and insights in one place.

This course is for anyone who

01

Works in data

02

Is interested in building insights with Python

03

Wants to build on the web with Python

What you’ll get out of this course

Confidence working with and building professional data apps
  • Create flexible, interactive, and customizable apps that connect directly to your analytics code
  • Share your apps and insights with others directly on the web
Knowledge on how to explore your own data sets
  • Use the Plotly Dash toolkit to better understand any data set, especially within your field of knowledge
  • Take full advantage of over 100 Plotly chart types
Connection to a strong community of Dash users
  • Establish connections with the rapidly growing community of Plotly Dash
  • Get the support you need for a successful Dash learning journey long after finishing the course

This course includes

6 interactive live sessions

Lifetime access to course materials

6 in-depth lessons

Direct access to instructor

5 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Feb 5—Feb 11

    Week dates are set to instructor's time zone

    Events

    • Feb

      5

      Session 1

      Mon, Feb 5, 6:00 PM - 7:00 PM UTC

    • Feb

      8

      Session 2

      Thu, Feb 8, 6:00 PM - 7:00 PM UTC

    Modules

    • Dash Fundamentals

    • Dash App Interactivity

  • Week 2

    Feb 12—Feb 18

    Week dates are set to instructor's time zone

    Events

    • Feb

      12

      Session 3

      Mon, Feb 12, 6:00 PM - 7:00 PM UTC

    • Feb

      15

      Session 4

      Thu, Feb 15, 6:00 PM - 7:00 PM UTC

    Modules

    • Building Graphs

    • Advanced App Development

  • Week 3

    Feb 19—Feb 22

    Week dates are set to instructor's time zone

    Events

    • Feb

      19

      Session 5

      Mon, Feb 19, 6:00 PM - 7:00 PM UTC

    • Feb

      22

      Session 6

      Thu, Feb 22, 6:00 PM - 7:00 PM UTC

    Modules

    • App Deployment and Resources

    • Final Presentations of Dash Apps

4.6

(85 ratings)

What students are saying

Meet your instructor

Adam Schroeder

Adam Schroeder

Adam Schroeder is passionate about helping people learn data visualization. He has helped the community grow by building 1:1 relationships, resulting in 1.5 million downloads of Dash per month. Prior to joining the team, Adam taught Plotly Dash for over three years on YouTube as @CharmingData, whose videos have over 60,000 views per month. Last year, he was inspired to co-author “The Book of Dash” to provide another learning method for people who want to learn Dash. He also launched the Dash Curriculum, an open-source tool for university professors wanting to teach Dash.

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Course schedule

4-6 hours per week
  • Personal app project

    2 hours per week

    Put into practice the knowledge you gain throughout the course by building your own personal Dash app.

  • Weekly projects

    2-3 hours per week

    Work on weekly course assignments provided by course instructor.

  • Live sessions

    1:00pm - 2:00pm EST

    Mondays & Thursdays with the course instructor.

Free resource

Python Data Apps Crash Course

This recording will introduce you to Dash as a tool to build data apps in Python. It describes the core elements of Dash and Plotly. Watching it will help you prepare for the first session of this course.

Get this free video tutorial

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
How much Dash and Python experience do I need for this course?
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