Tech Mahindra along with FORE School of Management, New Delhi will prepare the future Big Data Engineers to fulﬁll the market demand.
11 Months -
Total 200 Hrs of Learning
Tuesday & Thursday
07:00 pm - 09:30 pm
3 Easy EMI
PROFESSIONAL CERTIFICATE IN
Why to Take
BIG DATA ANALYTICS
Applications of Big Data transcend disciplines. Use of predictive analytics pervades diverse disciplines as oil and gas, marketing and sales, sports, molecular biology, drug-designing, waste management, finance and the list is very long. Smart cities, for example, are the melting pot where variety of big data technologies mesh with one another to transform a city into a semi-intelligent being. In Marketing and Sales, for example, Big Data is fast emerging as a potent tool to gain deeper insights into Customer behavior and thereby act as a strong driver in spurring innovation. In manufacturing, operations managers are employing advanced analytics on historical process data to identify patterns and relationships among discrete process steps and inputs, and then optimize the factors that prove to have the greatest effect on yield.FORE School of Management New Delhi along with Tech Mahindra Growth Factories Ltd, will prepare the future Big Data Engineers to fulfill the market demand.
WHO SHOULD ATTEND?
DATA SCIENTISTS/ DEVELOPERS
3rd & 4th year students currently enrolled in Engineering / PGDM/ MBA or any graduate or post-graduate program who have had an introductory course in Mathematics & statistics. These students can look forward to better placement opportunities with added skill set.
Ambitious Executives (from Private/Public sectors) with 0-3 year of experience looking forward to sharpening their skills in making sense of data in order to innovate and add more value to their organization and to society.
Techniques taught to them will have applications in a broad array of disciplines.
Why Education Lanes
for 11 Months
3 Easy EMI Option
Interactual Learning Platform
24 Hours Support
Bring Education to your Home
11 Months -
200 Hrs of Learning
Business Statistics & Basic of Database Management Systems
Data Mining & Data Analytics
Data Visualization using Tableau
Introduction to Optimization Technique
Student Interpersonal Skill Development Session
Hadoop & Kalfa Ecosystem
Machine Learning Algorithm
No Sql and Graph Database
Deep Learning & Artificial Intelligence
Prof. Shilpi Jain
Shilpi Jain is a Professor of Business Administration in the Information Technology Department at FORE School of Management, and the faculty chair of Computer Center Advisory and Purchase Committee. She also serves on the institutions’ Research Committee. Prof. Jain has held research positions in a variety of functional areas. During her stint at Infosys Research Labs, she has designed prototypes for virtual teams enabling paired programming, country risk analysis framework, and a prototype for dynamic resource sharing across geographies. Her current research is in applied and empirical software engineering, user behavior on social media & e-commerce, digital inclusion at grassroots level, and adoption of disruptive technologies, which includes digital currency, gamification, and enterprise systems on cloud. She chairs several executive education programs on e-commerce strategies, disruptive technologies, managing business on cloud, data summarization, and business storytelling with data.
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