Attain detailed learning on techniques of Business Analytics
– 2.5 quintillion bytes of data is generated every day.
– Going at this rate, 40 zettabytes (1 zettabyte = a trillion gigabytes) of data will exist by 2020
– As per a report by McKinsey, the corporations of the world need 1.5 million qualified business analysts
to profitably analyse this data.
Organizations are investing in tools to gather data at various touchpoints and want to reach newer markets, acquire new customers and get more out of the current resources with the information generated from this data.
This vast data in different formats and sources need specialised techniques and skills to make sense of it & provide insights for decision making. Business Analytics nurtures the amalgamation of data warehousing, data mining, statistics, and machine learning; applies it in various functional areas of business and management to find patterns in the relationships and creates capabilities for companies to compete in the market effectively.
Professional Certificate Program in Business Analytics has been designed for working professionals in the analytics domain to enhance their skills and learn advanced techniques and for the uninitiated to build their career in the business analytics domain. The program builds from the concepts and introduces advanced techniques like predictive analytics. It also covers contemporary topics including machine learning and its application in decision making.
Further, the program comprise of application of these techniques and processes in scenarios of various industries like Banking & Finance, Retail, Supply Chain, healthcare and others.
Certificate of Completion from IIM Kozhikode
On successful completion, you will receive a certificate of completion from IIM Kozhikode.
Understand the concepts as well as applications of Business Analytics
Understand the critical concepts of business analytics and research and learn it’s applications in industry-specific scenarios.
Learn Predictive analytics and Machine Learning techniques
Find patterns in data with advanced analytic techniques and learn how to improve business performance through fact-based decision-making.
Hands-on statistical analysis with R/SPSS
Gain hands on practical exposure of popular tools such as R and SPSS and in applying the concepts learnt to real life scenarios.
RightCareerEdge by Right Management
Upon payment of an additional fee, avail personalized career advancement services including job search support from Right Management (a ManpowerGroup company).
Who should attend
- For Indian Participants – Graduates (10+2+3) or Diploma Holders (only 10+2+3) from a recognized university (UGC/AICTE/DEC/AIU/State Government) in any discipline.
- For International Participants – Graduation or equivalent degree from any recognized University or Institution in their respective country.
- Proficiency in English, spoken & written is mandatory.
- Knowledge or familiarity with basic statistics, analytics and statistical software will be useful but not mandatory for the course.
- Pre-readings will be circulated and an introductory run on elementary concepts will be introduced in the initial sessions of this course. Participants are expected to go through the pre-reads and come prepared for the classes as instructed.
Prof. Atanu Adhikari
Professor Atanu is a Commonwealth Academic Fellow - London Business School, UK, Visiting Researcher to Syracuse University, USA, PhD (ICFAI University with one year visiting program at Syracuse University, USA), MBA (Gold Medalist, University of Calcutta) and has done his BE from National Institute of Technology, Durgapur. Prof. Atanu Adhikari is a Professor in the area of Marketing Management at IIM Kozhikode.
Prof. Shovan Chowdhury
Prof. Shovan Chowdhury is an Associate Professor in the area of Quantitative Methods and Operations Management at IIM Kozhikode. He has been associated with IIMK since past few years and has more than fifteen years of teaching and research experience. Prof. Chowdhury is a strong education professional skilled in Statistical Modelling, Predictive Modelling, and Data Analytics having research interest in the area of Business Analytics, Applied Statistics, and Statistical methods. Before joining IIMK, he was associated with ICRA Techno Analytics Ltd., Army Institute of Management, Kolkata, Indian Institute of Management, Amritsar etc.
Post the payment of all due fees and upon satisfying the requisite attendance & evaluation criteria of the Professional Certificate Program in Business Analytics, participants will be awarded a certificate of completion issued by IIM Kozhikode. Participants who are unable to clear the evaluation criteria but have the requisite attendance, will be awarded a participation certificate by IIM Kozhikode.
Live & Interactive Digital Learning
Learn from anywhere
Learn without quitting job
Live tech support
In session tech support on chat and call for immediate support
Classroom based learning
Interactive in session peer to peer and with faculty discussions for in-depth learning against isolated learning of recorded sessions
AI & ML Powered Mobile platform enabled
Seamless learning on all screens; desktop, laptop, tabs & mobiles through app and browsers
One on one interactions
All classes are delivered live by the eminent faculty encouraging interactive discussions and query resolution
Dedicated Career Advancement Services Team
Leverage innovative strategies for high career growth from Right Management (a ManpowerGroup company)
I think this is a great platform to share knowledge. Talentedge has the best interface for such a learning experience. I am taking many a learnings from this course which I can be put into practice at my workplace.
Feb 2015 Batch
The primary method of instruction will be through LIVE lectures that will be beamed online via Internet to student desktops/laptops or classrooms. The course will be delivered through a combination of methods as listed below.
Live classroom sessions through SLIQ2.0, a proprietary learning platform of Talentedge, which is a forum for discussion. “Discovery through discussion” is a very effective method that gives participants an opportunity to exchange and explore ideas, debate them, and jointly arrive upon solutions to problems. Lectures, designed to clarify the readings, and to amplify them with illustrations and related concepts drawn from other sources. Cases/Exercises that are important in helping the participants to assimilate principles. In the case analyses and other assignments participants discover concepts and apply what has been learnt. Further, participants will be making decisions similar to the way it is done in a managerial situation. Data Analysis, in order to process and bring order, structure and meaning to the mass of primary and secondary data.
All enrolled students will be provided access to our SLIQ Cloud Campus through which students may access other learning aids, reference materials, assessments, case studies, projects and assignments as appropriate. 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 our SLIQ Cloud Campus to raise questions and clear doubts.
Evaluation methodology is the discretion of the faculty. The methodology includes online exams, case analysis, class contribution and any other component as decided by the faculty. A minimum of 75% attendance is a prerequisite for the successful completion of this course. The course may require participants to work on individual/group assignments and/or projects. The main objective of such assignments/projects will be to help the participants apply their conceptual learning in the course to actual organizational decision making scenarios. The participants will have to secure the minimum pass marks in the respective evaluation components. Participants who successfully complete the same and satisfy the requisite attendance criteria, will be awarded a certificate of completion. Participants who are unable to clear the evaluation criteria but have the requisite mandatory attendance, will be awarded a Participation certificate.
RightCareerEdge is a personalized career advancement service offered by Right Management, India. Established in 1980, Right Management is a global career expert with 40 years of experience in career management and talent strategy. During this time, Right management has put 40,000 people to work every day, conducted over 12 million interviews per year and successfully transitioned more than three million people into new roles. In today’s competitive world, it is critical to constantly evolve in one’s career by deploying innovative career strategies that help an individual achieve his/her career goals. Right Management’s extensive research suggests that majority of job seekers are unclear about their career aspirations & paths and how to achieve them. Our extensive research also unfolds a set of critical parameters for an individual to achieve high career growth. RightCareerEdge has been specifically curated to support professionals to excel in their careers.
About IIM Kozhikode
IIM Kozhikode was the fifth Indian Institute of Management, founded by Government of India in collaboration with Government of Kerala at Calicut in the year 1996. IIMK also holds the credit for having pioneered the Interactive Distance Learning (IDL) Program for working executives in India. Having started with 300 class contact hours in 2001-02, the year-long Executive Management Education is today the richest available in the country having 450 class contact hours. The Institute today is a leader in Faculty Development Programmes (FDP) and is the major QIP (Quality Improvement Programme) Centre of the All Indian Council of Technical Education, in the field of management education.
IIMK is also one of the few Centres for Development of Digital Libraries in the world and is a country leader. The Institute also has a strong International Exchange Programme for students and faculty with several leading Management Institutes in EU and ASEAN countries like SDA, Bacconi, Jonkoping, Sweden, Copenhagen Business School, Denmark, ESCAP-EAP, France; University of Queensland, Austria, Victoria University of Wellington and so on.
An active member of the Strategic Management Forum, IIMK lays stress on organizing Seminar/Conferences and conducts management programs for teachers. Leading Management Institutions like IIM Ahmedabad, Bangalore, Calcutta, Indore and Lucknow along with MDI, Gurgaon, XLRI, Jamshedpur and IIFT, New Delhi join hands to conduct week long faculty development programme on various subjects in the field of Strategic and general management.
IIM Kozhikode is ranked 5th amongst management institutes in India – According to the report by Business Today on India’s Best B Schools 2013.
Module 1 comprises of the foundation of business analytics along with familiarity with data analytics tools like R and SPSS. The participants will learn basic courses in finance and marketing with basic quantitative methods. While the course is designed for middle level managers, this module will go a long way in brushing up the fundamentals of analytical techniques in the context of your business. Moreover, the module will include data acquisition from different sources, data storage, data preprocessing, data visualizations, and writing algorithms in the context of business.
Introduction to business analytics and data analytics tools
Marketing Management and CRM
Module 2 comprises of the nervous system of the course which includes predictive analytics and machine learning techniques. These techniques are very useful for middle level managers to find patterns in the data and use them in managerial decision making.
Predictive Analytics (Regression techniques, Logistic regression, Tree-based methods, Time-series analysis)
Advanced Analytics (Dimension reduction technique, Clustering technique)
Machine Learning (Support vector machine, Neural network, Sentiment analytics)
Module 3 comprises of courses on the applications of various tools and techniques of analytics in business. These include financial analytics, retail analytics, operations analytics (including supply chain), healthcare analytics, web analytics, and others depending on the availability of suitable resources.
Customer and Retail analytics
Supply chain Analytics
|For Indian Residents||
Rs. 80,000+ GST*
Payment Deadline: 17/01/2020
|For International Students||
Payment Deadline: 17/01/2020
|1st Instalment||2nd Instalment||3rd Instalment|
Rs. 30,000 + GST*
Payment Deadline: 17/01/2020
Rs. 20,000 + GST*
Payment Deadline: 18/02/2020
Rs. 30,000 + GST*
Payment Deadline: 15/05/2020
All applicants applying for this course need to fill and submit an Online Registration Form. In case the 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.
As a part of the Application process, please send us the following, initially as a scanned copy by email and subsequently hard copies via post.
Duly filled Application Form.
Copy of your graduation/diploma mark sheet, provisional degree/diploma certificate or degree/diploma certificate.
If you have opted to pay the Instalments of the Fee through Demand Draft/Pay Orders, then please ensure that the Demand Draft/Pay Orders for the applicable amount is made favouring “Arrina Education Services Private Limited”, payable at Mumbai, and is sent to the address provided below. Please ensure that you write your Name, Enrollment ID, Course Name, Contact number and Email ID at the back of your Demand Draft/Pay Order. All Demand Draft/Pay Orders along with a documentation listed above must be sent to.
The Program Coordinator,
Professional Certificate Program In Business Analytics – IIMK,
21, Institutional Area,
Sector 32, Gurgaon 122003, Haryana, INDIA.
The course 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 + GST 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 + GST 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 + GST will be charged to the Participant if the Participant wishes to continue with and complete the course and rejoining can be accommodated as per course 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 the closure of registration or 21 days before the date of course commencement, whichever is earlier.
In the 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 course/another course prior to commencement of the course. However, such intimation must be made by the participant at least fifteen days prior to the commencement of the course. The amounts paid by the participant shall be considered as advance payment towards the next batch/alternative course. 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 reserve 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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