Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
In the Analytics Edge online programme, candidates will learn how to use data analytics, and how it can transform a business or an industry. Candidates will learn about various analytical methods. These include linear and logistic regression, text analytics, clustering, trees, visualisation, and optimisation. Candidates will learn how to work with data and build models with the statistical software R.
Furthermore, the Analytics Edge course by edX, courtesy of MIT, follows the examples of Netflix, Twitter, IBM, Moneyball, e-Harmony, Watson, and the Framingham Heart Study, among others. Candidates will be instructed through short video lectures, usually between four to eight minutes each.
To evaluate their understanding of the material, candidates will be asked a “quick question” after each video lecture in the edX Analytics Edge programme. Using new examples and data sets, the teaching assistants will go over all the methods discussed. Candidates will also be given a homework assignment each week, wherein they will have to work in LibreOffice and R with various data sets. The final exam will also be similar to the homework assignments.
The Highlights
- Free Course
- 13-week course
- English transcripts
- Shareable certificate
- Real-world examples
- 10-15 hours per week
- Homework assignments
- Intermediate level course
- Instructor-led, scheduled course
- Four to eight minutes of video lectures
Programme Offerings
- Intermediate-level Course
- 13-Week Programme
- 10-15 hours per week
- Free learning
- verifiable and shareable completion certificate
- Homework assignments
- English Transcripts
- Instructor-led course
- Real-world examples.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | MIT Cambridge |
Eligibility Criteria
Basic, high school level mathematics is a prerequisite for the Analytics Edge course. The candidate should have a working knowledge of concepts like mean, histograms, scatterplots, and standard deviation. Prior experience in programming is preferred, but it is not a necessity.
To earn the certification for the edX Analytics Edge programme, candidates will have to complete one homework assignment each week. Towards the end of the programme, edX will conduct a final exam similar to the assignments.
What you will learn
After completing the Analytics Edge training course, learners will have knowledge of the following data analytics methods, and their implementation in R:
- CART
- Clustering
- Linear Regression
- Data Visualisation
- Logistic Regression
- Mathematical optimisation models in spreadsheet software
Who it is for
Admission Details
Step 1: Tap on the below-given link to access “The Analytics Edge” course on the edX website: https://www.edx.org/learn/analytics/massachusetts-institute-of-technology-the-analytics-edge
Step 2: Look for the “Enroll” button on the course page and click on it.
Step 3: Fill in the credentials of your edX account and log in. You can also make a new edX account or log in using your Google, Facebook, Apple, or Microsoft account.
Step 4: Furnish the requisite details and follow the instructions on the screen to complete the enrollment process.
Application Details
Participants do not need to apply by filling an application form to join the Analytics Edge programme. To start learning for free, all candidates need to do is create an account on edX or log in to their existing account. Alternatively, they can also log in using their Google, Facebook, Apple, or Microsoft account.