Suggested preparation: Basic statistics and comfort learning R.
Optional preparation: Free Data Analytics Course: Spreadsheets, SQL and R.
About this course
Learn how statistical models support practical decisions using the Analytics Edge materials. The videos combine R demonstrations with regression and case studies involving health, costs and other real-world data.
Topics and lesson examples
- 1.1.1 Welcome to Unit 1: An Introduction to Analytics
- 3.2.12 Introduction to Logistical Regression – Video 7: Interpreting the Model
- 5.3.1 How IBM Built a Jeopardy Champion – Video 1: IBM Watson
- 7.3.11 Visualization for Law and Order – Video 6: A Heatmap on the United States
- 9.4.5 R9. Operating Room Scheduling – Video 4: The Solution
Course at a glance
| Provider | MIT |
|---|---|
| Platform | YouTube · MIT OpenCourseWare |
| Access | Free Video |
| Level | Intermediate — WikiFree study-level assessment |
| Language | English |
| Available lessons | 193 |
| Video duration | 16h 8m · self-paced |
| Details checked | 10 October 2026 |
Preparation and study approach
Suggested preparation: Basic statistics and comfort learning R.
Follow the available videos in sequence, pausing to summarize the main argument or reconstruct a worked example. Keep a short list of assumptions, unfamiliar terms and questions to revisit. Additional reading, problem solving and practice will take time beyond the listed video duration.
Using this video classroom
Select a lesson from the list, or search for a topic. Previous and Next move through the sequence. You can mark lessons complete; progress is stored in this browser without a WikiFree account.
Free access and course scope
The public MIT OpenCourseWare videos in this classroom are free to watch. This listing provides the available playlist recordings, which may include selected lectures, recitations, demonstrations or supporting discussions rather than every component of the original campus course. Textbooks, equipment, software licenses, supervised labs, graded assignments and instructor feedback are not supplied by WikiFree. No purchase is required to watch the videos or use the note-based study approach above.
WikiFree independently organizes these resources for self-paced study. Watching does not award an MIT certificate, academic credit or admission to MIT.
Video provider and credit: MIT OpenCourseWare on YouTube. WikiFree titles, descriptions and cover artwork are independently prepared.
Related courses for your next step
- Review a lower-level optionFree Data Analytics Course: Spreadsheets, SQL and R
Focus: Frame a question and assess the quality of its data · Explore spreadsheet calculations, SQL cleaning, and R workflows
Beginner - Compare another approachFree Advanced Data Analytics Course: Statistics and ML
Focus: Data science workflow · Data interpretation
Intermediate - Review a lower-level optionGoogle Cloud Data Analytics Essentials: Free Learning Instruction
Focus: Analytics lifecycle literacy · BigQuery architecture awareness
Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free MIT Course: Business Analytics with R: The Analytics Edge | Intermediate | 1.1.1 Welcome to Unit 1: An Introduction to Analytics · 3.2.12 Introduction to Logistical Regression - Video 7: Interpreting the Model · 5.3.1 How IBM Built a Jeopardy Champion - Video 1: IBM Watson | 16h 8m of video; practice time is additional |
| Free Data Analytics Course: Spreadsheets, SQL and R | Beginner | Frame a question and assess the quality of its data · Explore spreadsheet calculations, SQL cleaning, and R workflows · Present findings through charts, Tableau examples, and clear explanations | 18h 13m of video; practice time is additional |
| Free Advanced Data Analytics Course: Statistics and ML | Intermediate | Data science workflow · Data interpretation · Statistics | 21h 32m of video; practice time is additional |
| Google Cloud Data Analytics Essentials: Free Learning Instruction | Beginner | Analytics lifecycle literacy · BigQuery architecture awareness · Business-intelligence tool comparison | 2 hours; provider full-course estimate including practical activities; instruction-only study time may differ. |
Provider: MIT. Videos play from the MIT OpenCourseWare channel on YouTube.
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