Program Description and Objectives
Applications of Big Data transcend all disciplines. Use of predictive analytics pervades diverse disciplines such as oil and gas, marketing and sales, sports, molecular biology, drug-designing, waste management, finance and the list is indeed very long.
How different Sectors/Industry use Big Data
Broadly the course has three parts: Analytics, Hadoop-Eco System, Deep-Learning & AI. At the end of this course, given a large dataset from any domain,a participant will learn to:
This course is project oriented: All tools, data and platforms including Hadoop-ecosystem and Kafka(Spark)-streaming technologies necessary for learningdata-analytics are provided to the participants in advance. There is a heavy emphasis on open-source technologies universally used almost throughout theindustry. Each participant, at the beginning of the course, receives Virtual Machines (VMs) fully equipped with all the software platforms, tools,packages and data to work on. We make the whole process very simple and stress-free. Details of Virtual Machines can be seen here
Complete Program is project based. We have experience with several Industrial projects. Students execute these and other projects while implementing techniques learnt and as part of weekly exercises.
Who should attend
Specifically, the course will be useful to:
We strongly believe that a course in data analytics can only be practice-based rather than theory based. The teaching pedagogy will be like this: First, the technique/algorithm is conceptually explained without getting into mathematics and then a project is undertaken to implement the technique. Datasets for implementation are made available in advance and so also a copy of code we need to execute. The code is numbered and copiously commented upon so that long after the lecture has finished, students can go back through the code/comments and refresh their knowledge. During the lecture, we execute this code, line-by-line and explain the steps. At his/her end, the student also execute the same code and may seek clarification. Consequently, results are available at our end as also on Students’ Laptop.
Program Duration: 6 Months Approx
Two Sessions of 3 hours per week on Sat-Sun
Saturday - 10:30 AM to 01:30 PM
Sunday - 10:30 AM to 01:30 PM
Based on Performance in Exercises & Projects
The sessions will be delivered on TechMahindra Growth Factories interactive learning platform.
Course material will be shared either through cloud or in hard copy with all the participants at the appropriate time.
Course Fees are payable by Student directly to Tech Mahindra Growth Factories Limited
Course Fee :
Rs. 60,000/- + GST
Rs. 50,000/- + GST (One time payment)
Other Fee :
Rs. 5,500/- + GST : Book and Material(Mandatory Fees)
Collection of Fee:
|Installment Schedule||Registration Fees||Admission Fees||1st Installment|
|Installment Amount||10,000/- + GST||25,000/- + GST||25,000/-+ GST|
|Installment Date||At the time of Enrolment||20th Oct 18||25th Jan 2019|
|Book and Material (Mandatory fees)||Rs 5,500/- + GST per participant||Payable directly to FORE School of Management, New Delhi.|
Assessments: Based on Performance in Exercises & Projects
Tech Mahindra Growth Factories Ltd.
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