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
Big Data Analytics is an online programme available on edX that falls under the subject of Computer Science. The programme is designed and administered by AdelaideX, which is the massive open online course (MOOC) platform of the University of Adelaide providing free online courses to students worldwide.
The Big Data Analytics Certification is designed to train the participants on major tools and techniques to come up with important business information and make business decisions by storing, processing, and analysing large-scale data such as R and Apache Spark. By joining the Big Data Analytics Certification by AdelaideX offered by edX, the participants will develop the potential to creatively approach the major issues and challenges of data science.
The Big Data Analytics Certification Syllabus will help the students build a detailed understanding of big data analytics, cloud-based big data analysis, predictive analytics, etc, and sharpen their programming and mathematical skills. There are two modes to take the self-paced programme; verified and audit-free modes. In the free mode, the learners will get only limited duration and in the verified track, they can get unlimited access and a certificate of completion.
The Highlights
- Available on edX
- Offered by AdelaideX
- 10 Week-long Course
- Complete Online Course
- Audit and Verified Tracks Available
- Shareable Certificate Upon Completion
- Self-paced Programme
Programme Offerings
- Graded Assignments and Exams
- edX support
- English medium
- intermediate level course
- Video transcript in English
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 16611 | yes | The University of Adelaide, Adelaide |
Big Data Analytics Certification Fees
Course Title | Total Fee in INR |
Big Data Analytics (Verified Tracks) | INR 16,611 |
There are two options of enrolment for the students who look forward to joining the Big Data Analytics Online Course. The first option is Audit Track and the course will be fully free of cost and the participants will be given only limited access to the study materials. The second option of enrolment is Verified Track which levies the above-mentioned Big Data Analytics Certification Fees and the participants will be given unlimited access to the learning materials.
Eligibility Criteria
Academic Qualifications
The candidates who want to explore big data analytics can join the Big Data Analytics Certification Course and the course does not stipulate any kind of prerequisites.
What you will learn
After the completion of Big Data Analytics Training, the learners will have a solid understanding of the following:
- Big data applications
- Application of large-scale data analysis
- Analysis of problem space and data needs
- Probabilistic and statistical models
Who it is for
The Big Data Analytics Classes is open for enrolment for any learner who is passionate about studying big data analytics except the learners from the countries of Iran, Cuba, and the Crimea region of Ukraine. But, this course is highly recommended for professionals like Data Scientists, Data Architects, Data Analysts, Developers, etc.
Admission Details
Step 1 - First, the candidates will have to register in edX on https://www.edx.org/ to avail the AdelaideX course on edX.
Step 2 - After activating the edX account, click on SCHOOLS & PARTNERS ‘Category’ given on the home page of edX to find courses from AdelaideX and click on the AdelaideX logo.
Step 3 - Scroll down and Search for Big Data Analytics on the page on AdelaideX-provided courses.
Step 4 - Then Click on the course.
Step 5 - Choose the tab ‘Enroll’
The Syllabus
Instructors
The University of Adelaide, Adelaide Frequently Asked Questions (FAQ's)
The estimated completion time of the programme is 10 weeks.
The learners will have to devote 8–10 hours per week to this course.
The instructors are the faculties of the University of Adelaide, namely, Lewis Mitchel, Lecturer in Applied Mathematics, Simon Tuke, Lecturer in Statistics, and David Suter, Professor of Computer Science.
The course is offered completely in online mode.
The candidates will not be given placement support after the programme.