Prepare to enter one of the fastest developing industries of the world with Professional Certificate in Big Data offered by the Fore School of Management.
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.
The complete fee cost for Professional Certificate in Big Data programme is Rs. 1,20,000, exclusive of GST.
It has to be paid in 4 terms; registration, admission and two instalments during the programme duration.
The registration fee will amount to a total of Rs. 20,000.
The admission will cost the candidates a total of Rs. 35,000 for the course.
The first instalment payment required by the applicants has a fee cost of Rs. 35,000.
Candidates will have to pay a sum of Rs. 30,000 for the second instalment.
Category
Amount In Rs.
Registration fee
Rs. 20,000
Admission fee
Rs. 35,000
First instalment
Rs. 35,000
Second instalment
Rs. 30,000
Eligibility Criteria
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.
What you will learn
Machine learningSocial media skillsKnowledge of Data VisualizationData science knowledge
The certification at the end of the course will be proof of the various skills achieved by the candidates from this program.
The first and foremost lesson that the candidates will learn through the course is business statistics and how to operate the basics of DBMS.
Candidates will next learn about the data visualization process, its importance, and how to benefit from it using tableau.
Another great skill set of the course will be uncovering hidden patterns in datasets through data mining and analysis.
Participants will be introduced to the varying optimization techniques, which would be more suitable under different conditions, and how to implement them.
The applicants aspiring for an edge in the marketing industry will be taught the brilliant skill of customer analytics that will help them greatly in the future.
Social media analytics will be a necessary content of the course which would also be one of the more productive skill sets earned via the program.
The applicants will get to learn about the most popular software of big data companies like Hadoop, NoSQL, and Kafka ecosystem.
The final content that teaches the participants about the role of artificial intelligence in the field will alone open up a number of opportunities for them.
Applicants from the following field are the desired candidates for the course.
Data scientists or data developers who need to go over the techniques of the domain in various sectors and allow themselves broadened opportunities are the perfect applicants for the program.
Students in their final year pursuing MBA, PGDM, or engineering and have a basic knowledge of statistics and mathematics can choose this course to widen their options in the future.
Executives in the sector who need to sharpen their skills to make progress in their domain can find the desired reconnection in this program.
Admission Details
Instructions given below are to be followed by candidates who wish to apply in the program for admission.