Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English, Hindi | Self Study, Virtual Classroom | Video and Text Based |
Big Data Analytics plays a major role in examining, extracting, and dealing with complex data. Knowing the importance of this, the National Institute of Electronics and Information Technology, Gorakhpur (NIELIT) makes sure that the course takers will be equipped with various skills and techniques which are used in Big Data Hadoop like storing large amounts of data, handling complex tasks, processing data, creating multiple copies of data and so on.
Big Data Analytics Using Hadoop certification course also teaches several additional topics like Sqoop, Hive, PIG, Java, and HBase. The course is designed in such a manner that it covers all the major concepts of Big Data Analytics right from the fundamentals. It is an online course coupled with instructor-led training where students will have a detailed and in-depth learning experience. The duration of the course is just 4 weeks such that students need not spend a lot of time on the course. After completing the course and fulfilling the necessary tasks, students will be awarded a certificate of completion by NIELIT.
Big Data Analytics Using Hadoop course by NIELIT extracts the best output from students who want to become professionals in Big Data Analysis.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | NIELIT Gorakhpur |
Fee structure | Amount in Rs. |
Program fee | Rs. 1200 |
Education
The educational qualifications required for students in order to pursue the Certificate course in Big Data Analytics Using Hadoop is B.Sc/M.Sc or Polytechnic of 3 years or Diploma in the software field or B.C.A/M.C.A or Btech/B.E or qualified in NIELIT A-level/NIELIT O-level.
Certification Qualifying Details
NIELIT provides the certificate of completion for students who successfully complete the course by obeying all the guidelines like getting a minimum of 50% marks in the online test at the end and maintaining at least 75% attendance.
The Certificate course in Big Data Analytics Using Hadoop is best suited for various people such as :
The admission procedure for the Certificate course in Big Data Analytics Using Hadoop is as follows -
Step 1: Vist the course page by clicking on the link below
https://www.nielit.gov.in/gorakhpur/sites/default/files/Gorakhpur/B07_BigDataAnalyticsUsingHadoop_200830.pdf
Step 2: Read all the course requirements, descriptions, and structures given on the page.
Step 3: Fill in your personal details and make sure that you enter them without any errors.
Step 4: Check the preview and click on ‘Submit’.
Step 5: Log in with your account to verify.
Step 6: Upload all the required documents.
Step 7: Choose your suitable payment method.
Step 8: Fill in your banking details.
Step 9: Students can access the course after the successful transaction.
The duration of the course is 4 weeks which is divided into 2 hours per day.
This is a bilingual course which includes both Hindi and English. Students who aren’t familiar with English can also pursue Big Data Analytics Using Hadoop courses.
The course timings will be allotted after the registration based on your batch. But, the classes will be 2 hours per day.
Yes, it is an online course where students will access the course through the e-learning portal.
Yes, students will be awarded the certificate after course completion by NIELI based on attendance and online test scores.
Students must have a PC/Laptop with an operating system of 64-bit and 16 GB of RAM. They must also have software like Cloudera Hadoop, Notepad, Ellipse 64 bit, and JDK which can be downloaded from the internet. There should be an internet speed of a minimum of 2 Mbps.
Students must get minimum marks of 50% in order to get the certification by NIELIT.
No, students must have a PC/Laptop to access this course because it is required to run heavy software.
No, this is an instructor-led training where students will get a masterclass learning experience. This course also offers hands-on instructor-led lab sessions which helps them to acquire practical knowledge and experience.