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Batch - Dec 2018
Duration 5


Start - 16th Dec 18
3 hours every Sunday from 2:30 pm to 5:30 pm IST

Use Big Data Analytics to help your Business grow

Data generated by humans and machines has witnessed an exponential growth in the last few years. Businesses are no exception to this phenomenon and are beginning to tap the hidden knowledge using Analytics and Big Data.

This big data analytics course will help the participants to apply the concepts of big data analytics and statistical applications to varied aspects of managerial decision making. Participants understand how big data technologies and data mining techniques enable data driven decisions. Participants will learn to apply popular and contemporary technologies in big data ecosystem and statistical packages for applications such as predictive analytics, social network analytics, sentiment analytics, market segmentation. Participants will also learn about production grade analytics and best practices using open-source programming language and machine learning frameworks. This online certification course will benefit participants interested in a career in data science, analytics and consulting careers.

At the end of Business analytics course, participants will be able to:

• Understand the role of data analytics in a business organization
• Learn to model business decision problems as decision analytic problems
• Apply supervised and unsupervised techniques
• Apply social network analysis
• Work with tools like R, Gephi
• Perform simple operations in a Big Data Ecosystem
• Set-up a big data stack in single node machine and Amazon AWS
• Understand Spark, Python, Hadoop, Hive and Impala

Certificate of Completion from IIM Kashipur

Opportunity to earn a Certificate of Completion from IIM Kashipur.

Learn to apply techniques to improve decision making

Use Predictive Analytics, Social Network Analytics & Sentiment Analytics for improved decision making.

Get hands on exposure to popular tools

Hands on exposure to popular tools in Business Analytics and Big Data like R, Gephi, Apache Hive, Cloudera Impala, Python etc.

Walk-through, demonstrations & class exercises

Knowledge imparted through walk-through, demonstrations and class exercises to develop hands on skills.

Learn from Eminent Faculty

Classes by IIM Kashipur faculty and industry professionals.

Live and Interactive Session

Real time discussion on industry case study, scenarios etc. via digital format.

Duration 5


Start - 16th Dec 18
3 hours every Sunday from 2:30 pm to 5:30 pm IST

Who should attend


  • For Indian Participants – Graduates from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline but with formal education in mathematics or statistics.

  • For International Participants – Graduation or equivalent degree with formal education in mathematics or statistics, from any recognized University or Institution in their respective country.

  • Minimum 2 years of work experience as on 1 December 2018, preferably in IT, Data Analysis and/or Market Research.

  • Proficiency in English, spoken & written is mandatory.
  • All applicants for this course are required to undergo an eligibility assessment. This will be in the form of a short quiz which can be taken up anytime.  It is a timed quiz with 15 objective questions to be attempted in 15 minutes. Navigation between questions is permitted during the quiz. Once submitted, the quiz cannot be taken again. A minimum of 6 correct answers is needed for applicants to be eligible for enrolment in the course.  Only one attempt for the test is allowed. Click here to take the quiz-
  • Participants are advised to read “Statistics for Management by I. Levin Richard (Author), H. Siddiqui Masood (Author), ‎S. Rubin David (Author),‎ Rastogi Sanjay (Author), Pearson (8th Edition)”, before the start of the course.

  • Participants must have access to a PC/Laptop with at least 4GB RAM for first 19 sessions and to a PC/Laptop with at least 8GB RAM for the 20th session (for setting up pseudo-node).

  • Access will be provided to a computing environment at IIM Kashipur remotely, for practising in Hive and Impala environment, up to 4 weeks after the end of 20th session.


Dr. Venkataraghavan K

Assistant Professor, Chair of IT and Systems
IIM Kashipur

Before joining academia, Dr. Venkataraghavan K worked as a principal data scientist at a telecom analytics start-up on Big Data Analytics. As a data scientist, he had developed predictive models for customer segmentation and multi-brand loyalty.

Dr. Mayank Sharma

Assistant Professor, IIM Kashipur
IIM Kashipur

Dr. Mayank Sharma is an Assistant Professor at IIM Kashipur. He completed his Fellow Programme in Management from the IIM Lucknow in IT & Systems.


On the full payment of course fees and upon satisfying the requisite attendance and evaluation criteria, participants will be awarded a Certificate of Completion from IIM Kashipur.

Talentedge Way

  • 95 %
    Completion rate
  • 92 %
    Satisfaction score
  • 78 %
  • Live & Interactive Digital Learning

    Live tutored classes not recorded sessions

  • Convenient schedule

    Scheduled classes at convenient timings for working professionals

  • Live Tech Support

    In session tech support on chat and call for immediate support

  • Classroom Based Learning

    Interactive session with peers and faculty for in-depth learning against isolated learning of recorded sessions

  • Industry Interactions

    Interactive live sessions with Industry stalwarts

  • Dedicated Student Support

    Student relationship managers for dedicated support for all requirements of the students

Duration 5


Start - 16th Dec 18
3 hours every Sunday from 2:30 pm to 5:30 pm IST

Learners Speak


The primary method of instruction will be through LIVE lectures that will be delivered online via internet to participant desktops/laptops or classrooms. The lectures will be delivered by eminent faculty from IIM Kashipur and expert(s) from industry. The course will be primarily taught through a combination of class exercises, presentations, take-home exercises, simulation and case studies. The course contents are organized in a way so as to provide the participants an introduction on application of analytics to various business aspects, followed by concepts of machine learning and their business applications and finally on leveraging big data technologies for analytics. Instructor’s notes, data and scripts will be shared via Google Classroom. Throughout the duration of the course, students will have the flexibility to reach out to the Professors, real time during the class or offline via the Cloud Campus to raise questions and clear their doubts.


A minimum of 70% attendance to the LIVE lectures is a prerequisite for the successful completion of this course.There are periodic evaluations built in throughout the duration of the course. These maybe in the form of a quiz, assignment, class exercises or other objective/subjective assessments. The evaluations are designed ensure continuous student engagement with the course and encourage learning. Participants meeting the requisite attendance criteria, successfully completing and submitting the assignments and clearing the end course examination will be awarded a Certificate of Completion. Participants who are unable to clear the evaluation criteria but have the requisite attendance will be awarded a Certificate of Participation.


About IIM Kashipur

The Indian Institute of Management Kashipur is a newer entrant in the elite league of IIMs. The institute aims to nurture and train managers and leaders with a social conscience and the ability to deliver performance and attain excellence across cultures, functions and geographies. The curriculum at IIM Kashipur reflects this diversified educational approach, as does the intellectual capital of its faculty, which is dedicated to achieve the objectives.

IIM Kashipur was established in July 2011, under the mentorship of IIM Lucknow. Its relative newness gives it the flexibility to quickly respond to the rapidly changing global socio-economic conditions and to efficiently adapt the best practices of leading business schools. The rigorous curriculum seeks to instill a passion for knowledge and ability to apply that knowledge to real life scenarios

The institute is located in one of the most densely industrialized regions in the country, with over 180 industries having plants in and around the region and many more coming up. This places the institute, a member of AACSB, in an advantageous position when it comes to ‘Learning by Doing’ via frequent industry interactions and live projects.

  • 0
    Established in July 2011, under the mentorship of IIM Lucknow
  • 0
    acres campus situated in serene surroundings
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    IIM Kashipur is a member of Association to Advance Collegiate Schools of Business.


  • Business Context – Prediction
  • Machine Learning Context – Regression
  • Business Context – Segmentation
  • Machine Learning Context – Clustering
  • Business Context – Classification
  • Machine Learning Context – Classification
  • Business Context – Multi-layered models
  • Machine Learning Context: Ensemble Methods
  • Business Context – Forecasting
  • Machine Learning Context – Time Series Analysis
  • Business Context – Market Basket Analysis
  • Machine Learning Context – Association Rule
  • Business Context – Social Network Analysis
  • Machine Learning Context – Social Network Analytics
  • Business Context – Social Networks & Online Communities
  • Machine Learning Context – Social Network Analytics
  • Business Context – Text Analytics
  • Machine Learning Context – Text Analytics
  • Business Context – Text Analytics Application
  • Machine Learning Context – Sentiment Analysis, Topic Modeling, Document Clustering
  • Business Context – Data Visualization
  • Machine Learning Context – Visual Analytics
  • Business Context – Handling Big Data
  • Analytics Context – Technologies for Big Data
  • Business Context – Data Discovery
  • Analytics Context – Exploratory Analysis
  • Business Context – Data Analytics
  • Analytics Context – Python
  • Business Context – Data Analytics
  • Analytics Context – Python and Spark (Demo of a machine learning example using SPARK)
  • Business Context: Big data and Cloud
  • Analytics Context: AWS and Analytics (Setting up a pseudo cluster in own laptop (8 GB Ram minimum reqd.)

Fee Schedule

For Indian Residents

Rs. 70,000+ GST*

Payment Deadline: 10/08/2018
For International Students

USD: 1600

Payment Deadline: 10/08/2018
Instalment Schedule
1st Instalment 2nd Instalment 3rd Instalment
1st Instalment
Rs. 30,000 +
USD 650
Payment Deadline: 10/08/2018
2nd Instalment
Rs. 15,000 +
USD 400
Payment Deadline: 05/12/2018
3rd Instalment
Rs. 25,000 +
USD 550
Payment Deadline: 25/02/2019
Effective 01 July 2017, the prevailing Service Tax will be replaced by GST at an effective rate of 18%

All applications for this course must be made through an Online Application Form.

In case payment is being made online through Credit Card/Debit Card, please ensure that you have the Credit Card/Debit Card with you at the time of filling out the Application Form. If you have opted to pay the Application Fee/Instalments of the Fee though Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favoring “Arrina Education Services Private Limited” payable at Mumbai and is sent to the address provided below along with the downloaded copy of your Application Form. Please ensure that you write your Name, REGID, Course Name and Contact number at the back of your Demand Draft/Pay Order.

All Demand Draft/Pay Orders along with a downloaded copy of your Application Form must be sent to.

Student Relations Manager,

21, Institutional Area, Sector 32,
Gurgaon 122001, Haryana, INDIA.

The program fee is payable in instalments as per the instalment schedule provided. In the event of late payment of Instalment 1 or any other subsequent Instalments, a Late Fee is leviable as follows.

  • A Late fee of Rs.1000 + Tax will be charged to the Participant, if the instalment is paid within 7 days from the due date published on the instalment schedule.
  • A Late fee of Rs.2500 + Tax will be charged to the Participant, if the instalment is paid between 8 days from the due date to within 14 days from due date as published on the instalment schedule.
  • If the Fee Instalment is not received within 14 days from the due date, then the Participant shall be considered a dropout and a Rejoining Fee of Rs.5000 + tax will be charged to the Participant if the Participant wishes to continue with and complete the program and rejoining can be accommodated as per program guidelines.

Cancellation by the Participant

  • Requests for refund of fees on account of cancellation of enrolment shall be considered only if such requests are received prior to closure of registration or 21 days before date of course commencement whichever is earlier.
  • In event that such valid requests for refund of fees are received, the application money shall be refunded after deducting a penalty of Rs.5000 and applicable taxes for Indian participants & USD 125 for foreign participants.
  • In all other cases, no refund shall be made.
  • A participant may opt for rescheduling to a later batch of the same program / another program of prior to commencement of the program. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the program. The amounts paid by the participant shall be considered as advance payment towards the next batch / alternative program. Further, the participant shall have to pay an administrative charge of Rs.5000 plus applicable taxes (Indian participants) or USD 125 (foreign participants) for facilitating such rescheduling.

Cancellation by the Talentedge & Institute

Talentedge & the Institute, reserves the right to cancel courses at any time owing to reasons like insufficient enrolments, trainer indisposition or force majeure events. In the event that Talentedge or the Institute cancels a scheduled course, the student will receive full fee refund for the same. All refunds will be processed within 30 days of receipt of a valid refund request.

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