DC.js for Data Science Essential Training

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Free Online Course: DC.js for Data Science Essential Training provided by LinkedIn Learning is a comprehensive online course, which lasts for 5 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. DC.js for Data Science Essential Training is taught by Emma Saunders.

Overview
  • Learn how to use DC.js in coordination with Crossfilter and D3.js to create interactive dashboards and widgets that display bar charts, scatterplots, heatmaps, and more.

Syllabus
  • Introduction

    • Welcome
    • What is DC?
    • Assessing your current skills
    • Finding a code editor
    1. Preparing to Code in DC
    • Recalling webpage basics: HTML, CSS, and SVG
    • Downloading dc.js with its dependencies
    • Setting up dummy data
    • Seeing your data with console.log and print_filter
    • Checking the DOM
    2. Individual Charts
    • Making a bar chart
    • Modifying our bar chart
    • Working with dates to make a line or area chart
    • Making a stack area chart with legend
    • Exploring SVG with a pie chart
    • Making a scatter plot
    • Making a bubble chart
    • Making a data table with bootstrap
    • Understanding common attributes
    3. Making Advanced Charts
    • Making a stacked bar chart
    • Importing CSV data for a boxplot
    • Making a series chart
    • Combining chart types with composite
    • Making a map (choropleth)
    • Getting creative with dataGrid
    4. Building a Dashboard
    • Linking two charts together
    • Understanding graphical filtering
    • Filtering with a range chart
    • Filtering with brush
    • Filtering with brush in two dimensions
    • Adding finishing touches with dc.dataCount and Reset All
    • Adding finishing touches with filterPrinter & numberDisplay
    • Complementing DC with D3
    Conclusion
    • Goodbye