Enterprise Reporting
  • Introduction
  • Understanding reports with clarity (Definitions)
  • Optimizing key performance indicators (via the Groups tab)
    • Dashboard
    • Reporting section
      • Progress report
      • Adoption report
      • Engagement report
      • Content insights
        • XP
        • Courses
        • Projects
        • Tracks
      • Assessments
      • Certifications
      • Time in Learn
      • DataLab
      • Export
    • Skill Matrix
  • Integrating our data into your tools (via Data Connector 2.0)
    • Explore the data model
      • Fact tables
      • Dimension tables
      • Bridge tables
      • Metrics tables
    • Common use cases
    • Sample queries
    • Queries to recreate key reports in the Groups tab
      • Dashboard
        • Members who have earned XP
      • Reporting section
        • Progress report
        • Content insights
        • Assessments
        • Certification Insights
        • Time in Learn
    • Domain Gotchas
    • Getting started with Data Connector 2.0
      • Enable Data Connector 2.0
      • Your credentials
      • Storing your credentials
    • Using Data Connector 2.0
      • Integrating with your BI tools
        • Microsoft Power BI
        • Tableau
        • Looker
        • DataLab
      • Downloading your data
        • S3 Browser (Windows)
        • Cyberduck (Mac or Windows)
        • AWS CLI (Linux)
    • Changelog
    • Migrating from Data Connector 1.0
  • FAQ
  • Data Connector 1.0 - Documentation
    • [Data Connector 1.0] Explore Data Model
      • [Data Connector 1.0] Data Model
      • [Data Connector 1.0] Changelog
      • [Data Connector 1.0] Example queries
    • [Data Connector 1.0] Getting started
      • [Data Connector 1.0] Enabling the Data Connector
      • [Data Connector 1.0] Your Credentials
      • [Data Connector 1.0] Storing your Credentials
    • [Data Connector 1.0] Using the Data Connector
      • [Data Connector 1.0] Analyzing data
        • [Data Connector 1.0] DataLab
        • [Data Connector 1.0] Microsoft Power BI
        • [Data Connector 1.0] Tableau
      • [Data Connector 1.0] Downloading data
        • [Data Connector 1.0] S3 Browser (Windows)
        • [Data Connector 1.0] 3Hub (Mac)
        • [Data Connector 1.0] AWS CLI (Linux)
    • [Data Connector 1.0] Data Connector FAQ
      • [Data Connector 1.0] Deprecating dcdcpy and dcdcr
Powered by GitBook
On this page
  • Courses started
  • Courses completed
  • Completion rate
  • Most started courses
  • Most completed courses
  • Most popular course technologies
  • Most popular course topics
  • Course Activity
  1. Optimizing key performance indicators (via the Groups tab)
  2. Reporting section
  3. Content insights

Courses

PreviousXPNextProjects

Last updated 18 days ago

This section shows different metrics related to courses, one of our platform's principal tools for learning.

  • Below is a brief description of each metric shown:

    • Courses started

    • Courses completed

    • Completion rate

    • Most started courses

    • Most completed courses

    • Most popular course technologies

    • Most popular course topics

    • Course Activity

Courses started

  • The card shows the courses started and the number of users who started them (all-time).

Courses completed

  • The card shows the courses completed and the number of users who completed them (all-time).

Completion rate

  • The card shows the completion rate (completions divided by starts) for courses (all-time).

Most started courses

  • The chart shows the top 5 courses by starts (all-time).

Most completed courses

  • The chart shows the top 5 courses by completions (all-time).

Most popular course technologies

  • The graph shows the ten technologies (Python, R, ChatGPT, etc.) with the most course starts (all-time).

Most popular course topics

  • The graph shows the ten topics (Programming, Data Manipulation, Artificial Intelligence, etc.) with the most course starts (all-time).

Course Activity

  • The table shows the course title, topic, technology, starts, completions, and completion rate (completions divided by starts) for all courses with at least one start (all-time).

  • The report can be filtered by topic (Programming, Data Manipulation, Artificial Intelligence, etc.) or technology (Python, R, ChatGPT, etc.)

  • The search box can be used to find a particular course.