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Visualizing & Communicating Results in Python with Jupyter
  • Level Foundation
  • Duration 11 hours
  • Course by Codio
  • Offered by

About

Code and run your first Python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook. This course helps learners describe and make inferences from data, and better communicate and present data. The modules in this course will cover a wide range of visualizations which allow you to illustrate and compare the composition of the dataset, determine the distribution of the dataset, and visualize complex data such as geographically-based data. Completion of Data Analysis in Python with pandas & matplotlib in Spyder before taking this course is recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours. Finally, an accumulative lab at the end of the course will provide you an opportunity to apply all learned concepts within a real-world context.

Modules

Comparison Charts

    • 2 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Comparison charts

2 Readings

  • Navigating Codio Assignments
  • Comparison Charts Lesson Notes (Optional Download)

Composition Charts

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Composition Charts

1 Readings

  • Composition Charts Lesson Notes (Optional Download)ng

Coding Exercises

    • 2 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Coding Exercises

2 Readings

  • How to Reset an Assignment in Codio
  • Coding Exercises PDF(Optional Download)

Scatter Plots

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Scatter Plots

1 Readings

  • Scatter plot Lesson Notes (Optional Download)

Box Plots and Histograms

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Box Plots and Histograms

1 Readings

  • Box Plots and Histograms Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Coding Exercises

Specialized Visualizations

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Specialized Visualizations

1 Readings

  • Specialized Viz Lesson Notes (Optional Download)

Coding Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio:Coding Exercises

Presenting Data as a Document Report

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Presenting Data as a Document Report

1 Readings

  • Document Report Lesson Notes (Optional Download)

Presenting Data as a Presentation

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio:Presenting Data as a Presentation

1 Readings

  • Data as Presentation Lesson Notes (Optional Download)

Presenting Interactive Data

    • 1 Readings
    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Presenting Interactive Data

1 Readings

  • Interactive data Lesson Notes (Optional Download)

Practice Exercises

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Practice Exercises

Lab Visualizing Data and Communicating Results with Jupyter

    • 1 ExternalTool
Show info about module content

1 External Tool

  • Codio: Lab Visualizing Data and Communicating Results with Jupyter

Auto Summary

This beginner-friendly course, "Visualizing & Communicating Results in Python with Jupyter," is perfect for those with limited coding experience looking to enhance their data presentation skills. Focused on Data Science & AI, it covers a variety of visualization tools in Jupyter Notebook. Created by Coursera, this 660-minute, video-free course offers hands-on learning through interactive assignments and instant feedback. A foundational knowledge in Python is recommended. Available under the Starter subscription, it's ideal for learners eager to describe, infer, and present data effectively.

Kevin Noelsaint
Instructors

Kevin Noelsaint

Anh Le
Instructors

Anh Le