Learn how to develop visually appealing and effective dashboards with Python
(Plotly | Dash)

Gain the skills and confidence needed to develop visually appealing and effective dashboards with Python (Plotly | Dash)

This course is for you if...

You're a data analysts/scientists who is passionate about data visualization and may find it challenging to create dashboards that are not only visually appealing but also user friendly and well-received by your audience.

    What's in the course?

    7 Lessons

    • Introduction
    • Data Visualization & Dashboards
    • Intro to Excel Dashboards
    • Dashboard 1: Pivot Charts
    • Bonus! Chapter 2: Regular Charts
    • Bonus! Chapter 3: Quickie Charts
    • Optional Hands-on Project

    Data

    • Explore sample data set in raw form
    • Load sample data set into Python (Plotly | Dash)
    • Overview of the basic layout of Python (Plotly | Dash)
    • Write the narrative of the data analysis - this will help drive the structure of the dashboard

    Dashboard

    • Discuss the DATAcated Chart Selector Guide and sketch the dashboard on paper
    • Design the dashboard directly in Python (Plotly | Dash)
    • Leverage the DATAcated Visual Best Practices Checklist
    • Publish or save the dashboard

    Watch a sample from the course

    Get started for

    Just $24.75/month!

    30 day money back guarantee.

    If for any reason you’re not happy with your purchase, send us an email and we’ll refund your purchase, no questions asked.

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    Fill out this form to discuss.
    Low-income option
    Click here for a low-income pricing option ($97/yr). For students, residents of low-income countries, or any sort of hardship (such as unemployment), you have the option to purchase the membership at a reduced rate. You will not be asked to justify your request for the reduced rate.

    Included in this purchase

    What our students are saying

    Thank you for this easy to understand and easy to implement data visualization best practices.

    Raymond T.

    Really loved the course. It is well constructed and covers the content extremely well. All in all exactly what I was looking for from the course and loved the case studies as well. Pointing us to Makeover Monday is a great touch.

    Richard K.

    I found the course incredibly useful Kate, I particularly was pleased with the fact that we could download additional resources such as the checklist.

    Keasha A.

    Meet your instructor, Avery

    Hey there! I'm Avery Smith - the founder of Snow Data Science and I'll be your instructor for this course. I'm an innovative data scientist dedicated to finding insights in data as well as teaching and educating others in data analytics! I freelance as a data scientist on the side helping businesses bring machine learning to their field. I make custom visuals, forecasting algorithms, interactive dashboards, and more!

    Frequently Asked Questions

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    If you have any other questions about DATAcated Membership & Courses, you can contact support.