A flexible and affordable degree from one of the top Computer Science programs in the world, focused on one of the hottest fields of the new millennium.

Machine learning is taking over the world – it is benefiting companies across industries. It is helping organisations create systems that can understand, learn, predict, adapt and operate on their own. Thus, understanding how machine learning works is one of the most valuable and useful things you can do.

Whether you’re launching a career, advancing a career, or just excited to learn a new skill, there is no time like the present to start learning, and this program offers everything you need to get up to speed—with no prior programming skills required.

Data Data Every Where Data

From the information generated by your purchase on Amazon to the coupons you redeem at the grocery store to the energy you use in your home, oceans of information that didn’t exist then years ago are now flooding the companies of the world, and Data Scientists and Business Analysts help make sense of that information

“ Data which is too large to handle data- bases for storage is defined as Big Data.”

AT A GLANCE

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Less Course Fee With EMI

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2 months Weekend

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Applied Learning

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100 hours training

Start Your Application

The next cohort starts on 23 December 2017

Application Closes On

December 22, 2017

Who is this degree for:

Professionals who want to use big data to understand the world, discover new insights, and optimize their decision-making will find value in the 5GAnalytix program. Analyzing the rising tide of data has become important to a wide range of fields, including the humanities, medicine, and business, as well as engineering and the sciences. Students will gain a strong foundation that will enable them to bring data science to bear on these areas. The program is designed so that Freshers as well as Working Professionals  with 0 – 10 years of experience can complete it, as they balance their personal and professional commitments.

How It Works ?

Academics

The 5GAnalytix program is a Certification program in Big Data Analytics, Data Science. Students can complete the eight modules required for the 5GAnalytix at their own pace, in as little as six weeks to eight weeks. Students receive lectures through the Industry experienced lectures, and also are advised and assessed by faculty and teaching assistants on the rigorous set of assignments, projects, and exams required.

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Assignments

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Guest Lectures

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1 or 2 Industry Projects

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1 or 2 Capstone Projects

What 5GAnalytix Student Learns...

Deep Learning

Deep Learning is the fastest growing field in Machine Learning, an approach to AI that has been revolutionizing several industries and playing a major role in changing the way we live. The areas of application of Deep Learning are wide spread due to its intelligent systems and ability to learn. These systems learn and classify several components in a similar fashion to that of a human brain, but with much higher precision and speed. It uses Deep Neural Networks to learn to extract & epitomize data that comes in several forms such as images, text and sound. Rather than using modality-specific traditional Machine Learning techniques, today’s advanced deep neural networks can learn at high speed owing to GPU’s computational power and the big data algorithms

Optimization Techniques

This course thoroughly trains candidates on the following techniques:

  • Linear Programming and Sensitivity Analysis
  • Recognize the optimization problem
  • Setting up systematically
  • Recognizing that linear optimization is relevant across several domains
  • Process of optimizing
    • Identify the decision variables
    • State the objective function as a linear combination of the decision variables
    • Hidden constraints
    • Corner points
    • Unbounded and infeasible solution

Programming Languages

This module where we introduce data reading, pre-processing and then move to designing, evaluating and implementing predictive models using the most widely used tools Python. This module will help you become hands-on in identifying and applying the right set of techniques, analyze and present the thought process.

Natural Language Processing

NLP is a way for computers to analyze, understand, and derive meaning from human language in a smart and useful way. By utilizing NLP, developers can organize and structure knowledge to perform tasks such as automatic summarization, translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic segmentation. NLP is used to analyze text allowing machines to understand how humans speak

Various Job Roles in Big Data Analytics

How it Works

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Complete Course 1
After completion of the course 1 you will be ready with Machine learning and Big Data concepts in R programming language.
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Project
You will be spending 32 hours in project after completion of academic module and this gives knowledge for interview and for continuing with advance course 2.
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Complete Course 2
This is Deep Learning Module where you will be covered advanced concepts of Machine Learning which are the foundations of Artificial Intelligence.
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Complete Course 3
In this program you will be trained only on customized case study training to face interviews, which gives you knowledge same as an experience person is having.
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Job / Internship
After Certified analyst you are then industry ready and stand to bag the job you always dream of.

When you graduate, you’ll be able to:

  • Collect and manage data to devise solutions to datascience tasts.
  • To build and develop AI / ML and DeepLearning application at your workplace.
  • Able to know where and when anlytics is used
  • Identifying business problems in various domains or industries which can be solved by machine learning, D.L, Analytics
  • Mastering Business and Management concepts that keeps ready for building technology product startup

Motivation To Join 5GAnalytix

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STUDENTS BY EDUCATION

STUDENTS BY WORK EXPERIENCE

INTERNSHIP CONNECT

INDUSTRY SECTOR DISTRIBUTION

Single Snap Shot of Previous Batches

20
Batches
168
Students
70
Internship
40
Placement Conversion

Placement Conversion 50% of 98%

40
Freshers 40 of 78
10
0-4 years 10 of 38
35
Internally
10
Outside

Course 1

Data Science on Big Data

Learn the Machine Learning algorithms like unsupervised and supervised applying with statistics concepts on Big Data using Hadoop Eco system and Apache Spark

Course 3

Customized Interview Training

In this program you will be trained only on customized case study training to face interviews, which gives you knowledge same as an experience person is having.