Create Interactive Dashboards with Streamlit and Python

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In this Guided Project, you will:

Build interactive data dashboards with Streamlit and Python

Use Pandas for data manipulation in data science workflows

Create interactive plots with Plotly Python

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this hands-on project on building your first interactive, data dashboard with the Streamlit library in Python. By the end of this project, you are going to be comfortable with using Python and Streamlit to build beautiful and interactive dashboards and web apps, all with zero web development experience! We are going to load, explore, visualize and interact with data, and generate dashboards in less than 150 lines of Python code! Prior experience with writing simple Python scripts and using pandas for data manipulation is recommended. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Skills you will develop

Data SciencePython ProgrammingStreamlitbusiness-analyticsData Visualization (DataViz)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Project Overview and Demo

  2. Turn Simple Python Scripts into Web Apps

  3. Load the Twitter US Airline Sentiment Data

  4. Display Tweets in the Sidebar

  5. Plot Interactive Bar Plots and Pie Charts

  6. Plotting Location Data on an Interactive Map

  7. Plot Number of Tweets by Sentiment for Each Airline

  8. Word Cloud for Positive, Neutral, and Negative Tweets

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step



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Frequently Asked Questions

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