THE OFFICE OF AIMA CENTRE FOR MANAGEMENT EDUCATION AT ANDHRA ASSOCIATION BUILDING, 24-25 INSTITUTIONAL AREA, LODHI ROAD, NEW DELHI HAS RELOCATED TO AIMA’S NEW PREMISES AT 15, LINK ROAD, LAJPAT NAGAR, PART-III, NEW DELHI W.E.F 6TH NOVEMBER 2017                   The office of AIMA Centre for Management Services at Management House, 14 Institutional Area, Lodi Road, New Delhi - 110003 has relocated to AIMA’s new premises at 15, Link Road, Lajpat Nagar, Part-III, New Delhi w.e.f. 13th November 2017

INTRODUCTION TO BUSINESS ANALYTICS

Business Analytics is the combination of skills, technologies, applications and processes used by organizations to gain data-driven insights. These insights can be used to aid decision-making across functions including finance, marketing, and operations. This course is designed by practicing managers and subject experts. It aims at covering the fundamental to advances in Business Analytics. This course is aimed at practical learning; therefore, most concepts will be linked with hands-on training, where participants will be expected to work with dummy datasets, and real data sets.

The Professional Diploma in Buisness analytics is recommended to anyoneinvolved in the planning, implementation, monitoring and measuring the effectiveness of Big Data strategy - or anyone who is looking to add a new skill set and pursue a career in this dynamic field of business analysis. The programme is suitable for professionals of all levels and disciplines, as job roles are gradually becoming more complex. Multitasking with projects executed with lean teams is a phenomenon. In such situation, an in-depth knowledge, understanding and application of data analysis techniques is a must .Participants will also learn how to leverage these strategies to gain the competitive advantage for both their business and career.

WHO SHOULD JOIN THE BUSINESS ANALYTICS PROGRAM?

CATEGORY 1 (Student)

Students who want to up-skill in BIG DATA ANALYSIS , and increases their job opportunities.

  • Graduate students with statistics or maths Background
  • Engineering students
  • MBA students
CATEGORY 2 (Working Executive)

Professionals / Organizations in Telecom, Banking, IT Consultancy, Retail and Healthcare who want themselves / their employee to be proficient in Business Analysis.

  • Professional responsible for developing or implementing organization's data analysis strategy in their organization
  • Professionals who need to understand and get more out of their organization / sector data.
  • Professionals who want to fast-track their career or improve their position in the marketplace
  • Business and data analysts, and database professionals willing to foray into Big Data analytics

COURSE OBJECTIVES

  • The objective of the course is to help participants to understand data analytics lifecycle, its elements, and usage, from multiple perspectives-as analysts, decision maker, corporate leaders, investment banker, consumer analyst and entrepreneurs.
  • The emphasis in this course will be on developing fundamental concepts with a strong understanding of information within the data, using predefined data sets to do hands-on exercise.
  • Use virtual lab for step by step learning. Doing live projects to gain real-time practical application.
  • Proficiency in two big data analysis platforms i.e R and SAS/Tableau.
  • Competencies in "R", RHadoop, Tableau pubic on real dataset (including project work).
  • We expect participants of this course to start working independently as business analyst/ market analyst and strategic decision makers.

PROGRAMME STRUCTURE

The course is divided into 5 modules. Each of the modules is of equal duration and weightage and will have assignments relevant to it. Once a module is completed, the student automatically progresses to the next module.

Module 1: Introduction to Big Data

MODULE 2: Introduction to Analytics and R

MODULE 3: Data Analysis Using R

MODULE 4: Big Data Analytics Methods

MODULE 5: Data visualization using Tableau

COMPETENCIES DEVELOPED

The program aims at developing competencies in following areas

  • Competency in Hadoop, HIVE, PIG, OOZIE, HBase,Rhadoop.
  • Performing Mobile Analytics .
  • Social Media Analytics and Text Mining.
  • Big Data Visualizations .
  • Statistical Analysis on Massive Scale: RHadoop and Mahout.

ASSESSMENT PROCESS

The assessment process is divided into 2 levels.

1. Module assessment: Based on assignments and projects (50% weightage)

2. Final assessment: Covers entire topic of the course (50 % weightage)

Modular assessment done by the faculty / trainer of the module. And at the end of the course, the student will face an online examination covering the entire course. Questions will be multiple choice and short answer.

COURSE HIGHLIGHT

  • 75 Hours instructor-led training.
  • 20 Hours of Online (recorded) sessions added in the Learning Management system.
  • 20 Hours offline Lab environment. (software,datasets and exercises shared in pen drive).
  • 20 Hour self-learning 15-hour live project (Details in the offline lab environment).
  • Analytical Tool - "R" and SAS/Tableau Software.
  • World class study material from Wiley( both in printed book and online pdf).
  • Special Doubt Solving By Experts on fixed appointment.
  • Online projects: 12 hours (in Banking, Financial, Marketing, HR functional area).
  • Certification : Industry approved and recognized certificate.

FEE STRUCTURE

Rs. 45,000 + GST

The fee includes 5 months Course fee +Online Digital Library with customized courseware (including books, videos, Exercises, Dataset, Certification Exam fee+ Software (R and SAS/Tableau) Group Discount: 15% discount for 3 or more registrations.

REGISTRATION REQUIREMENTS FOR STUDENTS

Follow 3 simple steps to take admission in our Programme:

Fill in the registration form

Attach 2 passport size photographs. (Soft copies in online registration process)

Pay fees through a demand draft in favour of AIMA payable at New Delhi or online payment of INR 45,000 + 18% GST taxes

CLASS TIMINGS

A: ONLINE CLASS ROOM MODE

Weekend Programme: 4 hours (Saturday/Sunday),(10:00-12:30 or 1-3:30 PM)

B: CLASS ROOM MODE

Face to face learning 4 Hours/ week (option for weekday or weekend batch) (60 Hours instructor-led training ( online or face to face), 20 Hours of Online (recorded) sessions,20 Hours Online Lab and 20 Hour self-learning 15-hour live project).

Participants Distribution Statewise

Alumni Speaks

  • Overall experience was better than expected in terms of quality. The duration of such programmes is a very important deciding variable for candidates and as it was spread over 4-5 months it was a plus in this case. Thanks for the immediate revert on the request for a change in the faculty. Soma was the best faculty.

    Chandra Shukla

    Procurement consultant, SICOM

    VICE PRESIDENT - BUSINESS EXCELLENCE

  • Being a Architect by training and involved in a business venture for 18 long years saw no real connection between a business analytics course and my occupation.however the course faculty gave me a lot of inspiration and support to understand and develop interest in this field.it is a very interesting and well conducted course which i would recommend to everyone

    Ar. Guruprasad Mantravadi

    CEO, Futuristic Habitat

SPONSORING ORGANISATION

ABOUT AIMA

All India Management Association (AIMA), as the national apex body of management profession in the country is committed to enhancing the competence of management profession through its multifaceted activities. AIMA has a broad base of 67 Local Management Associations including two cooperating LMAs abroad, with a membership of over 30,000 .

AIMA is represented on the Boards of India's premier Business Institutions and also represented on Boards of Government bodies including the AICTE, National Board of Accreditation, National Productivity Council to name a few. In addition, AIMA brings to the Indian managers, the best management practices and techniques through numerous foreign collaborations with professional bodies and institutions.

FOR QUERIES, PLEASE CONTACT

Dr Anuja Pandey

Programme Director

Ph: 011- 47673000 / 49868399 Ext 709

Email: apandey@aima.in

Rahul Bhatia

Programme Manager

Ph: +91-9250127573

Email: rbhatia@aima.in