I agree to the terms & conditions.

Overview of Programs

11-month Post Graduate Diploma in Data Science from Manipal University 

 

This program is designed specifically for the industries and domains where such talent is required. The program will help you develop the knowledge and skills for first-day first-hour productivity in data science roles. It is offered in 2 modes:

 

Full-time – for fresh college graduates, aiming to launch their career in this field

 

Part-time – for working professionals, who are looking to upskill / transition their career in this field.

 

The curriculum will lay the foundation in data science, and progressively introduce you to core or basic courses and then take you to the advanced applications. It typically consists of FOUNDATION courses that include databases, programming, applied mathematics and statistics, and BASIC courses like Big Data Technologies, Machine Learning, and Data Visualization. The ADVANCED courses will cover the application areas of Big Data and Machine Learning.

 

The curriculum also includes electives that we think are unique and build specific competence in you. They are offered in the following domains: BFSI, Marketing; and additional electives will be framed in future. For the Full-time program participants, it also comprises of certain behavioural skills training that will make a the candidate a successful Data Scientist in the corporate space, with the right work ethics.

 

Corporate Programs

We also offer corporate programs for organizations interested in assessing new hires and upskilling existing employees in the field of data science. The programs are delivered by veteran industry experts from the data science field. The cloud-hosted digital content ensures seamless learning. “Hands on” programming environment and group projects are offered to provide the learners a feel of the “corporate” work culture.

 

Program Details - PG Diploma in Data Science

Full-time Eleven-Month Post Graduate Diploma in Data Science

Program Objective:

This program is targeted at fresh graduates who want to build a career in the data science space. The program is spread over 11 months – across 3 terms. The first 2 terms have a mix of theory and labs while the last term also includes a two month project. 

Program Eligibility:

  • This Program admits students who are fresh graduates without prior work experience.
  • Working professionals can also join for the program, provided they are on a sabbatical from their work for the purpose of pursuing this program.
  • Applicants should have following minimum Academic qualifications:
  1. B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.
    OR
    Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology
    OR
    Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology
  2. Min 50% marks or equivalent in the qualifying examination.
  • A consistently good academic record throughout 10th, 12th and higher studies is preferred.
  • Candidates with an MBA (or equivalent Management qualification) will be eligible based on the above academic requirements.
  • Applicants will be required to attempt and pass the Online Pre-Admission English Proficiency and Technical Aptitude Test, with sections on verbal, quantitative and analytical abilities.
  • If you are admitted, you will be required to attend classes (face to face) in Bangalore during weekdays (Monday-Friday). You will be required to stay at the hostel provided and you will be governed by the hostel rules and regulations laid by the hostel.

Program Duration and Delivery:

  • The program is spread over 11 across 4 terms. The first 3 terms (9 months) have a mix of theory and labs while the last term (2 months) is a stipend-based internship term, which is mandatory for the participants to complete to be awarded the Diploma.
  • Being a residential program, boarding, lodging and transport facilities are provided by the Academy and included in the Program fees.

Program Fee:

  • All candidates have to pay a Registration/Application Fee of INR 2000 (inclusive of Application Form and English Proficiency and Technical Aptitude Test).
  • The Application fee is non-refundable.
  • The Program Fee is INR 6,00,000 + 18% taxes (effective from 1st July, 2017), covering program fee for all 11 months and hostel facilities for 9 months (last 2 months are stipend based project term). Fees are payable as lump-sum (before the program commences) or in 3 instalments. First instalment of INR 2,36,000 must be paid on selection before the start of the program to confirm the provisional admission. Due date for the same will be notified to the selected candidates.
  • We have tie-ups with Axis Bank, Credila and Avanse Financial Services for candidates who wish to opt for Education Loan to finance the program.
THE ADMISSIONS FOR THE JULY 2017 FULL TIME BATCH IS CLOSED.
TO KNOW MORE ABOUT THE NEXT BATCH, KINDLY CONTACT US AT datascience@manipal.edu

Part-time Eleven-Month Post Graduate Diploma in Data Science


Program Objective:

This program is targeted at working professionals who want to build or shift to a career in the data science space. This program is for individuals who want to switch to a data science role, or are already working in a data science role but want a formal qualification in the field. 

Program Eligibility:

  • Applicants should have a minimum work experience of 2 years. 
  • Applicants should have following minimum Academic qualifications:
  1. B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.
    OR
    Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology
    OR
    Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology
  2. Min 50% marks or equivalent in the qualifying examination.
  • A consistently good academic record throughout 10th, 12th and higher studies is preferred.
  • Candidates with an MBA (or equivalent Management qualification) will be eligible based on the above academic requirements.
  • Applicants will be required to attempt and pass the Online Pre-Admission English Proficiency and Technical Aptitude Test, with sections on verbal, quantitative and analytical abilities.
  • If you are admitted, you will be required to attend classes (face to face) in Bangalore during weekends (Saturdays and/or Sundays). This is a non-residential program.

Program Duration and Delivery:

  • The program is spread over 11 months – across 4 terms. It involves face-to-face classroom interaction with the faculty at the Academy. The classes will be conducted over the weekends so that candidate does not have to take time off from work to earn this qualification. The candidate is also expected to complete a project as part of the curriculum, in the last 2 months.

Program Fee:

  • All candidates have to pay a Registration/Application Fee of INR 1500 (inclusive of Application Form and English Proficiency and Technical Aptitude Test).
  • The Application fee is non-refundable.
  • The Program Fee is INR 3,00,000 + 18% taxes (effective from 1st July, 2017), payable as lump-sum (before the program commences) or in 3 instalments. First instalment of INR 1,18,000 must be paid on selection before the start of the program to confirm the provisional admission. Due date for the same will be notified to the selected candidates.
  • We have tie-ups with Axis Bank, Credila and Avanse Financial Services for candidates who wish to opt for Education Loan to finance the program.

 

Certificate Program in Data Science

 

Program Objective: These are short term programs designed for working professionals who want to gain expertise and sharpen the competencies in one or more areas of the Data Science by deepening their competencies in statistics, programming skills, machine learning, and engineering technologies of Data Science.

 

The program will sharpen your skills in the specific areas in data science. It will raise your bar in understanding how people can seek wisdom out of seemingly random data and of course visualize the information they want, and apply in their own context. After successfully completing this program you will be able to take up a role in the Data Science domain.

 

Program Eligibility: You must be a working professional with some mathematical background and/or computer science background or technical qualification. Typically the list of qualifications would include any of the Engineering Degrees (B.E., B.Tech., M.E. or M.Tech.); or BCA/MCA; or B.Sc./M.Sc. in Maths, Physics, Statistics, or Economics.

Big Data Analytics using Hadoop

Program Overview

 

With 2.5 quintillion bytes of data being created every day, Hadoop is changing the way companies manage their data. 73% of companies in India have already invested in Big Data, creating huge demand for Big Data Hadoop professionals.

 

Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success!

 

Program Details

 

3-Month Certification program available in online Instructor-Led mode.

 

Program Objective

 

Our objective is to create a talent pool in Big Data Analytics. We aim to train students through an experiential model that incorporates several strategies including teaching through reading material and videos featuring an industry expert and not only some useful slides explaining  fundamental concepts but also extensive audio based e-learning material.

 

This course is designed for professionals aspiring to make a career in Big Data Analytics using Hadoop Framework. Professionals who are looking forward to acquire a solid foundation of Hadoop Architecture can also opt for this course.

 

Program Eligibility

 

·         Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop.

·         IT professionals

·         IT professionals looking for a change to cloud technologies

·         Fresher looking for opportunities in cloud technologies

·         Software Professionals

·         Analytics Professionals

·         ETL developers

·         Project Managers

·         Testing Professionals

 

Program Duration

 

This is a 120-hours long certification program available in online Instructor-led learning mode.

 

In the Instructor-led mode, learners will be provided assistance of faculty who will walk them through the course via live webinars. These webinars generally during weekends.

 

Program Fee

 

The fee of Instructor-led version of the program is INR 15,220. The prices are inclusive of taxes and learners do not have to pay anything over and above that. 

 

Program Structure

 

This 3 month certification program in Big Data Analytics using Hadoop includes hands-on-practice on a Virtual Machine guided by Demo videos. Candidate learn to process live streaming data from Facebook, Twitter, YouTube etc. along with demo sessions on Hadoop tools like Sqoop, Oozie, Hue.

 

Beside 24x7 access to the course material, the course curriculum includes video lectures that are thought by an industry veteran with more than 16 years’ experience in companies like HP, Infosys, etc.

 

Topics Covered

 

·         Basic Statistical Concepts

·         Sampling Techniques

·         Correlation

·         Regression

·         Working with R

 

This course is accompanied with a rich set of high quality e-learning topics against each module. To enhance your understanding every module has a quiz with feedbacks and a reading material to provide additional information about the course.

 

Those who enroll in to the program are offered seamless access to the reading material, videos and other study material on EDUNXT.MANIPALPROLEARN.COM (Learning Management System).

 

On successful completion of assessment, learners will earn industry recognized ‘Certificate in Big Data Analytics using Hadoop’ from Manipal ProLearn.

 

Faculty

 

 

 

The faculty on this course is Soumyadip Pal. Soumyadip is an entrepreneur in the Business Analytics space with a special focus on the retail and consumer goods industry and its analytical needs. He has an MBA from Welingkar Institute of Management specializing in marketing and retail management. He is a visiting faculty at various management institutes in Bangalore and his primary areas of teaching are quantitative and business analytics, retailing management and FMCG management.

 

 

Business Analytics with R

Program Overview

 

Ranked as the #1 factor contributing to an organization's competitiveness, Business Analytics is among the fastest growing career, estimated to create 8.8 lakh job worldwide by 2020. A certification in Business Analytics is great value-add for any resume and can help one pursue a promising career. With a certificate in Business Analytics with R, one can make beneficial business decisions and reduce unrealistic expectations in an organisation.

 

This course provides insightful videos featuring industry experts with contemporary reading materials and gives the learners an opportunity to analyze real-life case studies. This is the key to gaining a competitive edge in the fast-paced and competitive field of Business Analytics.

 

Program Details

 

3-Month Certification program available in online Instructor-Led mode.

 

Program Objective

 

The role of a business Analytics in an organisation is very critical. To make a business survive and flourish, it is imperative that proper business analysis is conducted at the right time. A business analyst is responsible for influencing and controlling strategic planning, processing definition & designs, providing information technology analysis and analysing of operations and economic models.

 

Business Analytics is an important function in all industries as it is used to analyse and facilitate strategic and operational activities. R programming language consists of several standard statistical tests, analyses & models and is among the most advanced statistical programming language compatible with multiple platforms. Employees with this skill are sought after and required by small companies as well as big MNCs. Knowledge of the Statistical Techniques for Business Analytics prepares entry level staff for middle-level openings and later for executive and general managerial positions.  

 

Program Eligibility

 

·         Engineering and IT Students

·         B.Com, M.Com, MBA or BBA Graduates

·         Economics Graduates

·         Aspirant in Research, Marketing, IT Services, Big Data & more

·         Professional looking to upgrade to Business Analytics domain

 

Program Duration

 

This is a 196-hours long certification program available in online Instructor-led learning mode.

 

In the Instructor-led mode, learners will be provided assistance of faculty who will walk them through the course via live webinars. These webinars generally during weekends.

 

Program Fee

 

The fee of Instructor-led version of the program is INR 17,250. The prices are inclusive of taxes and learners do not have to pay anything over and above that. 

 

Program Structure

 

This 3 month certification program in Business Analytics with R gives learners an opportunity to have hands on experience with Excel and R and gain a competitive edge in the fast-paced world of Business Analytics. The program includes live online sessions/webinars with industry & analytics experts along with 24x7 access to the course material.

 

Topics Covered

 

·         Basic Statistical Concepts

·         Sampling Techniques

·         Correlation

·         Regression

·         Working with R

 

The Business Analytics with R program is a progression from basic to advanced level through a comprehensive and modular set of learning content and interesting videos on a platform that has been developed in-house.

 

Those who enroll in to the program are offered seamless access to the reading material, videos and other study material on EDUNXT.MANIPALPROLEARN.COM (Learning Management System).

 

On successful completion of assessment, learners will earn industry recognized ‘Certificate in Business Analytics with R’ from Manipal ProLearn.

 

Faculty

 

The faculty on this course is Soumyadip Pal. Soumyadip is an entrepreneur in the Business Analytics space with a special focus on the retail and consumer goods industry and its analytical needs. He has an MBA from Welingkar Institute of Management specializing in marketing and retail management. He is a visiting faculty at various management institutes in Bangalore and his primary areas of teaching are quantitative and business analytics, retailing management and FMCG management.

 

Business Analytics

Program Overview

 

Understanding how Business Analytics uses a variety of statistical tools and techniques to examine business problems from data collected and solve these problems is very important. Till now, students and prospective business analysts have acquired this knowledge by reading books and attending lectures. However, these conventional strategies fall short of meeting the requirements of a globalized and dynamic business environment.

 

This course is an experiential learning model that provides insightful videos featuring industry experts with contemporary reading materials. You get an opportunity to analyze real-life case studies. This is the key to gaining a competitive edge in the fast-paced and competitive field of Business Analytics.

 

Program Details

 

3-Month Certification program available in Online as well as Instructor-Led version.

 

Program Objective

 

There is a huge demand for resources skilled in the Business Analytics domain. The objective of the program is to create a talent pool that is competent in the use of Statistical Techniques for Business Analytics on the path to fulfilling this demand. Students are trained through an experiential model that incorporates several strategies including teaching through reading material and videos featuring an industry expert and analysis of real-life contemporary case studies sourced from different industries.

 

Program Eligibility

 

·         Engineering and IT Students – BTech / BE, BCA, MCA, BSc-IT, MSc-IT

·         Commerce & Finance Students - BCom / MCom, Economics Graduates, MBA or BBA

·         Highly recommended for people aspiring for jobs that required data handling – Research, Marketing, IT Services, Big Data & more

·         People who are already employed, but want to upskill themselves in the domain of Business Analytics

 

Program Duration

 

This is a 3-month/ 180-hours long certification program available in online as well as Instructor-led mode.

 

While online mode is self-paced, wherein learners have to study on their own, the Instructor-led version has a dedicated industry expert as faculty, who teaches the learners through live webinars, which are generally conducted during weekends.

 

Program Fee

 

The fee of the online mode of Business Analytics Certification program is INR 8,626 and that of Instructor-led version is INR 14,930. The prices are inclusive of taxes and learners do not have to pay anything over and above that.  

 

Program Structure

 

This 3 month certification program in Business Analytics course helps in understanding the statistical tools & techniques used to examine and solve business problems within the data collected. The program includes live online sessions/webinars with industry & analytics experts (in case of Instructor-led mode) and 24x7 access to the course material.

 

Topics Covered

 

·         Basic Statistical Concepts and Types of Data

·         Sampling Techniques

·         Frequency Distributions and Measures Of Central Tendency

·         Variability and Shape

·         One-way Analysis of Variance

·         Correlation

·         Linear Regression

·         Linear Programming

·         Linear Programming – Allocation Models

·         Linear Programming – Covering Models

 

The Business Analytics program is a progression from basic to intermediate level through a comprehensive and modular set of learning content and interesting videos on a platform that has been developed in-house.

 

Those who enroll in to the program are offered seamless access to the reading material, videos and other study material on EDUNXT.MANIPALPROLEARN.COM (Learning Management System).

 

On successful completion of assessment, learners will earn industry recognized ‘Certificate in Advanced Business’ from Manipal ProLearn.

 

Faculty

 

The faculty on this course is Soumyadip Pal. Soumyadip is an entrepreneur in the Business Analytics space with a special focus on the retail and consumer goods industry and its analytical needs. He has an MBA from Welingkar Institute of Management specializing in marketing and retail management. He is a visiting faculty at various management institutes in Bangalore and his primary areas of teaching are quantitative and business analytics, retailing management and FMCG management.

Program Structure

The Eleven-month Post Graduate Diploma in Data Science is designed with an optimal blend of Rigor and Relevance. It is spread across 3 terms – Term 1 and 2 of 3.5 months each and Term 3 of 4 months. There will be a mix of theory and labs in all terms. Additionally, the last term will include an internship or project of 2 months.

 

The program comprises of Core courses in Foundations, Basics and Advanced Levels from Term 1 through Term 3, along with electives offered in Banking/Finance, Retail or Operations Management, and Special contemporary topics in Terms 2 and 3.

mgads-program

Thus, there is a progression from Foundation to Advanced level which ensures that the Rigor of the program is maintained throughout.

 

Additionally, for the full-time participants, the program also comprises of certain soft skills training that will differentiate and help you to transition to corporate, and accelerate your career growth amidst competition.

 

The Relevance of the course is further enhanced by our associations with Knowledge Partners and Corporate Partners, who are Global leaders in the industry, and they’ll play an important role in the program content development, delivery, internships and placement assistance.

Admissions FAQ

PRE-JOINING FAQ

 

Q 1: What is the Eligibility for the Full-time Post-graduate Diploma Program in Data Science?

A: Eligibility for Full-Time Program - -

  • This Program admits students who are fresh graduates without prior work experience.

  • Working professionals can also join for the program, provided they are on a sabbatical from their work for the purpose of pursuing this program.

  • Applicants should have following minimum Academic qualifications:

  1. B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.
    OR
    Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology
    OR
    Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology

  2. Min 50% marks or equivalent in the qualifying examination.

  • A consistently good academic record throughout 10th, 12th and higher studies is preferred.

  • Candidates with an MBA (or equivalent Management qualification) will be eligible based on the above academic requirements.

  • Applicants will be required to attempt and pass the Online Pre-Admission English Proficiency and Technical Aptitude Test, with sections on verbal, quantitative and analytical abilities.

  • If you are admitted, you will be required to attend classes (face to face) in Bangalore during weekdays (Monday-Friday). You will be required to stay at the hostel provided and you will be governed by the hostel rules and regulations laid by the hostel.

Q 2:What is the Eligibility for the Part-time Post-graduate Diploma Program in Data Science?

A: Eligibility for Part-Time Program -

  • Applicants should have a minimum work experience of 2 years. 

  • Applicants should have following minimum Academic qualifications:

  1. B.E/ B.Tech/ BCA/ B Pharm graduates and/ or ME/ M.Tech/ MCA/ M-Pharm graduates from a recognised Institute/ University.
    OR
    Science Graduates(BSc. & MSc.) from a recognised university in Maths/ Stats/ Operations Research/ Physics/ Economics/Computer Science/ Information Technology
    OR
    Commerce Graduates from a recognised university in Maths/ Stats/ Economics/Computer Science / Information Technology

  2. Min 50% marks or equivalent in the qualifying examination.

  • A consistently good academic record throughout 10th, 12th and higher studies is preferred.

  • Candidates with an MBA (or equivalent Management qualification) will be eligible based on the above academic requirements.

  • Applicants will be required to attempt and pass the Online Pre-Admission English Proficiency and Technical Aptitude Test, with sections on verbal, quantitative and analytical abilities.

  • If you are admitted, you will be required to attend classes (face to face) in Bangalore during weekends (Saturdays and/or Sundays). This is a non-residential program.

Q 3: What is the last date of application for the PG Diploma program in Data Science?

A: The applications for July 2017 Full Time batch is Closed. The applications for the next batch shall commence shortly.

 

Q 4: What is the selection process for the program?

A: : Interested students will have to fill up an online application form. Those who match the eligibility criteria will have to undergo the online English and Technical Aptitude test, which will evaluate verbal, quantitative and analytical abilities. Candidates clearing the assessment successfully may undergo a Video call-based interview. More details regarding the selection procedure will be shared with the applicants

 

Q 5: When and how will the online assessments be conducted?

A: The assessments will be conducted as follows:

  • The details regarding the test login credentials and the instructions for taking the tests will be communicated to the applicants via mail, within a few days of receiving the completed application form.

  • The applicants can take the tests, at their locations as per their time convenience  within the specified Test window duration

Please note, only one login will be permitted, so the tests need to be completed in one attempt only.

 

Q 6: Can I visit the Academy to know more about the program and faculty?

A: As an endeavour to help you know the Academy better, there are Site Visits organized, on Thursdays and Fridays (except on public holidays), from 15th November onwards, from 3 to 5 pm, at the Academy. You are invited to come and take a tour of the campus, interact with the Director/Faculty, and have all your queries resolved.

 

PROGRAM RELATED FAQ

 

Q 1:What is the duration of PG Diploma program?

A:The program is spread over 11 (9+2) months - across 4 terms. The first 3 terms (9 months) have a mix of theory and labs while the last term is a project/internship term.

 

Q 2: What is the program fee?

A: The Full-time Program Fee includes:

  • INR 6,00,000 + 18% taxes, covering program fee for all 11 months and hostel facilities for 9 months (last 2 months are stipend–based project term). First instalment of INR 2,36,000 must be paid after selection to secure the provisional admission.

   The Part-time Program Fee includes:

  • INR 3,00,000 + 18% taxes. First instalment of INR 1,18,000 must be paid after selection to secure the provisional admission.

Q 3: If I choose to withdraw my application for admission, will I get a total fee refund?

A:  Refund will be processed according to our Refund policy. To know more,click here

 

Q 4: Will I get placement support after I complete the program?

A: Yes, you will get placement assistance when you complete the program, as per the Academy's 'Placement Assistance Policy'.

 

Q 5: Is there a break during the program?

A: For the Part-time Program, there will be no breaks during the 11 months (except Offs on Public Holidays as applicable, which will be declared when the program starts). For the Full-time Program, there will be a short break after every term.

 

Q 6: Will there be assessments and grading?
A: Yes, there will be assessments, scores and grading for the courses conducted. 

 

Q 7: Is there an availability of financial support, like loans?
A: Yes, we have tie-ups with established Financial Institutions like Axis Bank, Credila and Avanse Financial Services in case learners wish to opt for Education Loan to finance the program fees. To know more, click here

 

Q 8: Is the payment one time or instalment based?
A: The Program fee may be paid in 3 equal instalments, or as a lump-sum at the start of the program. Please refer to the details of fee payment, uploaded here.

 

 

 

GENERAL FAQ

 

 

Q 1: Will I get hostel accommodation at the time of admission?  

A: Hostel accommodation will be provided to students enrolling for the full time data science program as it is a residential program. Part-time Program is only on weekends for day scholars.

 

Q 2: Is the mess fee included in the hostel fee?

A: Yes, the mess fee is included in the hostel fee.

 

Q 3: Are the hostel charges included in the program fee?

A: Yes, the hostel charges are included in the program fee.

 

Q 4: Is there any industry partnership?

A: Yes, we will have knowledge and corporate partners who will play active role in curriculum, learning interventions, internships, and in the placements.

 

Q 5: What are the different types of courses in Data Science ?

A: The Data Science courses will comprise of Foundations, Basics and Advanced courses ranging from programming, database, to statistical techniques and machine learning, to Big data and domain electives. The electives will typically comprise of topics required to learn Analytics in Banking/Financial, or Retail or Operations Management, or Special contemporary topics.

 

CORPORATE PROGRAMS

DATA SCIENCE ASSESSMENT PLATFORM

We understand every organisation is different and the expectation from every job role is unique. We conduct pre joining assessment for new hires. We conduct assessments for charting out training interventions which are role based programs.  

The academy offers corporate programs such as Boot Camps, Advanced Programs and Customised solutions. 

BOOT CAMPS

Intensive courses are offered to introduce new joinees to the basics of data science, familiarise them with analytics technologies, and top it up with  a relevant domain, and get them ready to be productive from day one in an analytics role.

Machine Learning

  • Introduction to Data Analysis
  • Data Cleansing and Transformation
  • Introduction to Machine Learning and Data Science
  • Regression 
  • Classification
  • Clustering
  • Recommendation System
  • Case Study / Labs

Statistical Analysis

  • Introduction to Statistics and Probability
  • Sampling and Sampling Distributions
  • Testing of Hypothesis
  • Introduction to Data Science
  • Data Analysis
  • Statistical Methods Applications for Dimension Reduction
  • Statistical methods applications using Regression
  • Statistical methods applications using Clustering
  • Case Study / Labs

Advanced Machine Learning

  • Advanced Regression Techniques
  • Advanced Clustering Techniques
  • Ensemble Methods including Random Forest
  • Support Vector Machines
  • Gradient Descent Techniques
  • Naïve Bayes
  • Time Series Models and Forecasting
  • Artificial Intelligence
  • Neural Networks
  • Deep Learning Methods
  • Case Study / Labs

IoT ANALYTICS

CERTIFICATE PROGRAM

COMING SOON

Programming of Data Science or Data Science with R/Python

  • Introduction to Software, and Operating Systems (OS)
  • Introduction to Programming
  • Control Structures
  • Functions and Algorithms, Complexity
  • Data Manipulations and transformations
  • Simple Data Analysis
  • File Operations
  • Basic Visualisation 
  • Case Study / Labs

Customer Analytics

  • Introduction to Business Analytics
  • Customer Life cycle
  • Customer Life Time Value
  • Power of Customer data:  Collection Methods, Patterns in Browsing or Buying
  • Understanding Customers through  Descriptive Analytics
  • Predicting what customers will do through  Predictive Analytics
  • Case study  / Labs

Big Data Technologies

  • Big Data Concept
  • Big Data Programming Models
  • Getting started with Hadoop and components of Hadoop
  • Analysing Data with Pig
  • Analysing Data with Hive
  • Understanding Spark Capabilities
  • Case Study / Labs

Social Network Analysis

  • Network Analysis Introduction
  • Graph Techniques to Model Networks
  • Metrics in the Social Network Context
  • Network Analytics techniques
  • Tools for Network Analysis Techniques
  • Sentiment Analysis
  • Text Analytics on Social Media Text
  • Case Study of Social Network Analytics

*Other modules can be created on request, basis a viable learning group size. 

CUSTOMISED SOLUTIONS

For companies in BFSI, IT, Retail, Healthcare domains as well as start-ups, specific training solutions in Data Science and analytics can be created. 

BANKING ANALYTICS

CERTIFICATE PROGRAM

COMING SOON!

HR ANALYTICS

CERTIFICATE PROGRAM

COMING SOON!