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
Big Data Analytics Using Spark course will be helping the students in analyzing the big data sets using the mechanisms of MapReduce, Jupyter notebooks and spark technologies. The ten week Big Data Analytics Using Spark course is the fourth in a series of the “Micro Master” programme by edX. Students will be learning about the difficulties that arise in the parallel computation system. Students will be taught both unsupervised and supervised methods of performing machine learning functions on data sets in the Big Data Analytics Using Spark programme.
The candidates will also be learning about the machine learning library (MLLiB) mechanism in detail and in a comprehensive manner. Big Data Analytics Using Spark by edX will be conducted by experts of computer science. During the course, students will be provided with assignments and video lectures for comprehensive learning. The students will gain and build experience in the machine learning environment using the various tools available. The Big Data Analytics Using Spark certification will be guiding the candidates advanced level.
There are 2 tracks namely the audit and the verified track which are self-paced. The candidates may choose any of these tracks and can be enrolled. The main differences between these 2 tracks are access to the course materials and certificate of participation. During the audit track, the access is limited and no certification is given whereas during the verified track, access is unlimited and a certification is also offered.
The Highlights
- Course partnered by UC San Diego
- Free registration
- 10 weeks programme
- Certificate by edX
- Self paced learning
- Verified certificate
- 9-12 hours classes every week
Programme Offerings
- assignments
- Transcripted video
- Lectures
- Online education
- Projects
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 29203 | yes | UC San Diego |
- The registration is free.
- The students need to pay the amount of Rs. 29,203/- as Big Data Analytics Using Spark certification fees for successfully upgrading the programme.
Big Data Analytics using Spark Fees Structure
Particulars | Amount in INR |
Registration Fee | Free |
Course Fee | Rs. 29,203/- |
Eligibility Criteria
Education
Before applying for the Big Data Analytics Using Spark course the students need to complete the DSE220x, DES210x, DSE200x.
Certification Qualification Details
It is mandatory for the participants to upgrade by paying the fees in the course for getting the certificate.
What you will learn
The following principles will be learnt by the students in the course:
The students will be learning to develop programming solutions using the spark mechanism under Big Data Analytics Using Spark.
- Candidates in the Big Data Analytics Using Spark course will identify the computational tradeoffs using the mechanisms of spark applications.
- He/she will further be learning about the method of data modelling by the various tools of machine learning as a part of Big Data Analytics Using Spark certification syllabus.
- The applicants will also learn to perform data loading using the method of parquet and sparks under Big Data Analytics. Using Spark programme.
- The learners will be performing tasks using MLLib and will be arranging data using it in the solution statements.
- Students will study the topic of “Hadoop distributed file system” (HDFS).
- The mechanisms of distributed file systems will be taught to students for solving more complex problems as a part of the Big Data Analytics Using Spark course.
Who it is for
The programme is for aspirants who are interested in-
- The students who are interested to study further about the method of map Reduce and spark should register themselves in Big Data Analytics Using Spark course.
- Candidates willing to study machine learning libraries (MLlib) will benefit from the course.
Application Details
For enrolling, the students need to follow the steps-
Step 1: Please visit the site- https://www.edx.org/learn/big-data/the-university-of-california-san-diego-big-data-analytics-using-spark
Step 2: The first step involves filling up the form by mentioning the “full name”.
Step 3: For creating the account the students need to mention a “username” for their account.
Step 4: The mailing account details need to be provided by the students during registration.
Step 5: To all the given policies and clauses the students need to agree with before proceeding any further.
Step 6: The “apply now” button has to be clicked for submitting the form to complete the registration.
Step 7: To upgrade the Big Data Analytics Using Spark course the students now have to pay the fees.
The Syllabus
Instructors
UC San Diego Frequently Asked Questions (FAQ's)
The course eligibility criteria is mentioned in the brochure of the programme. All the information can be accessed from it.
For registering students need to provide all the details that are mentioned in the application form of the Big Data Analytics Using Spark.
The details pertaining to the lectures and courses will be available on the website. Kindly visit the site for procuring details.
No, the course for academic purpose only will not be provided with any sort of professional training.
The application form can be downloaded from here- https://www.edx.org/course/big-data-analytics-using-spark
No, the programme does not provide any such facility as of now.
The details are provided in the brochure. For more details, the students can also get in touch with management.
Currently, the Big Data Analytics Using Spark programme is accepting fee payment via online transactions only. They can also use the facility of net banking.
The course that will be received after the completion of the entire series will be having a validity of lifetime.
The curriculum details can be found very easily in the brochure under the sub topic of “Syllabus”.