Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
Jure Leskovec, Jeff Ullman, and Anand Rajaraman, professors at Stanford University, wrote the book Mining of Massive Datasets. They also happen to be the instructors for the Mining Massive Datasets programme, for which their book is the source material.
The Mining Massive Datasets certification syllabus corresponds to the CS246 programme at Stanford University. The major topics covered under the curriculum include algorithms for data streams, locality-sensitive hashing, MapReduce systems and algorithms, machine-learning algorithms, frequent itemset analysis, PageRank and web-link analysis, clustering, computational advertising, dimensionality reduction, social-network graphs, and recommendation systems.
The Mining Massive Datasets online course is a seven-week advanced computer science programme. The video lectures are in English, and you can study them in your time. English transcripts are also available to help you follow along. You need to spend anywhere between five and ten hours on the programme if you want to complete it within seven weeks. Edx has 2 tracks namely the verified track and the audit track which allows the students to finish off the course. During the verified track, the candidates will get unlimited but paid access to the course materials. In the audit track, the candidates will be getting limited but free access to the course materials.
The Highlights
- Self-paced with limited audit access
- Advanced programme
- Seven weeks long course
- Free-learning programme
- Five to ten hours per week
- Video transcripts in English
- Stanford University programme
- Shareable and verified completion certificate
Programme Offerings
- Advanced Level Programme
- Self-paced Course
- Free-Learning Programme
- Seven Weeks Long Course
- Five to Ten Hours Per Week
- Video transcripts in English
- Stanford University programme
- Shareable and Verified Completion Certificate
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Stanford |
- The Mining Massive datasets online course is available free of cost.
- But you will have to purchase the verified completion certificate if you wish to get certified.
Mining Massive Datasets programme fee structure
Training | Fees |
Mining Massive Datasets programme | NA. |
Certification Fee | Rs 12,435 |
Eligibility Criteria
The Mining Massive Datasets course is only for graduates and advanced undergraduates in computer science. The candidates should be familiar with data structures, database systems, algorithms, statistics, linear algebra, and calculus for multiple variables.
What you will learn
After completing the Mining Massive Datasets training, the learner should be proficient in:
- Clustering
- Social-Network Graphs
- Dimensionality Reduction
- Locality-Sensitive Hashing
- Frequent Itemset Analysis
- Computational Advertising
- Recommendation Systems
- Algorithms for Data Streams
- Machine-Learning Algorithms
- PageRank And Web-Link Analysis
- MapReduce Systems and Algorithms
Admission Details
Step 1: Search for the Mining Massive Datasets course on the official edX website. You can skip to the landing page directly by clicking on the link: https://www.edx.org/course/mining-massive-datasets
Step 2: You will see a button that says ‘Enroll’; press it.
Step 3: If you have a pre-existing edX account, enter your ID and password to sign in. If you do not, create one or use your existing Google, Facebook, Microsoft, or Apple account to register.
Step 4: Once you are through with the enrolment process, you can start learning online for free.
Application Details
You do not need to fill out an application/registration form for the Mining Massive Datasets programme. All you need to do is enrol for the course by creating an edX account. You can also use your existing Google, Facebook, Microsoft, or Apple account to register.
Instructors
Stanford Frequently Asked Questions (FAQ's)
No, it is an advanced course for graduates and advanced undergraduates in computer science.
You should be familiar with the following topics: Data Structures, Database Systems, Algorithms, Statistics, Linear algebra, and Multivariable Calculus.
The curriculum of this course corresponds to the CS246 programme at Stanford.
The book, Mining of Massive Datasets by Stanford University professors Jure Leskovec, Jeff Ullman, and Anand Rajaraman, is the source material for this course. They also happen to be the instructors for this online course.
No. You can download it for free here.