Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
---|---|---|---|
English | Self Study, Virtual Classroom | Video and Text Based | Weekdays |
Big Data is truly one of the fastest expanding industries across the globe and it is going through varying numbers of fields, establishing its sector essentiality in each one of them, subsequently producing greater demand as well as requirements. It has reached high-value domains like oil, waste management, molecular biology and sports and sales as well, which is what makes a Professional Certificate in Big Data course so popular.
The course Professional Certificate in Big Data prepares its applicants for these in-demand opportunities by allowing them to achieve mastery in techniques that are used in the line of work and help them to better identify the hidden patterns of datasets. The concepts are taught in a perfectly detailed manner that leaves no doubts and strengthens the applicants’ predictive analysis tools.
The program will prepare the participants for a luxurious career in many fields by skilling them with the respective fields’ requirements such as big data engineers in the marketing field who will learn incredible insights into customer behavior.
Certificate Availability | Certificate Providing Authority |
---|---|
yes | FSM Delhi |
Category | Amount In Rs. |
Registration fee | Rs. 20,000 |
Admission fee | Rs. 35,000 |
First instalment | Rs. 35,000 |
Second instalment | Rs. 30,000 |
Certification Qualifying Details
Applicants will be rewarded with the course certificate at the end of the program upon the condition that they have completed the course successfully.
The certification at the end of the course will be proof of the various skills achieved by the candidates from this program.
Applicants from the following field are the desired candidates for the course.
Instructions given below are to be followed by candidates who wish to apply in the program for admission.
Step 1: The course website has to be visited first by the applicants. https://www.fsm.ac.in/11-months-online-professional-certificate-in-big-data
Step 2: The website of the course has an ‘Apply Now’ button at the end which the candidates are required to click on.
Step 3: Next, the course will ask the students about their basic contact details which the applicants must submit correctly.
Step 4: Upon submission, the candidates will be sent an email providing them with the brochure download link.
Step 5: Further steps for the admission procedure can be cleared out by the support desk of the course.
FORE (Foundation for Organisational Research and Education) School of Management, in collaboration with Education Lanes by Mahindra Group, is offering Professional Certificate in Big Data course.
The course is tailored to be completed in an 11-month long schedule. The contents of the course will take approximately 200 hours or more.
The course will be led by Prof. Shilpi Jain, the program director, and will have other expert faculty including Prof. Dmitri Adler, Prof. Rakhi Tripathi, and Prof. Hitesh Arora as well.
The course has a total fee of Rs. 1,20,000 + GST. The total fee of the course will be paid under four different categories, namely registration, admission, and the two fee installments.
The program offers its candidates a refund provision with a deduction of Rs. 5,000 + GST, provided that they apply for registration cancellation 10 days before the course starts or before registration closes.
A Tech Mahindra Growth Factories’ initiative, Education Lanes works to provide the program with its certification through institutes of the highest quality via virtual methods.
The program offers valuable lessons and practices on the most sought-after software of the course like NoSQL, Hadoop, Hive, Spark, and Tableau.
FORE School of Management provides the candidates with the feature of FORE Career Division (FCD) that helps them with finding the best companies and inviting them for internship placements.
The course has a wide variety of features to help the candidates during their program including interactive sessions with experts of the field, learning through virtual machines, case studies, and practical exercises on real sector data.