Rizvi Institute of Management Studies and Research

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Decision-Making undoubtedly is the crux of any managerial activity. Thus any tool or technique that facilitates decision-making acquires paramount importance. Data Analytics and Data Mining over a period of time have acquired this stature and form the pillars of Business Analytics. Primary reason for this is the fact that every aspect of corporate working, across hierarchy to profiles, involves numbers. Thus the ability to fathom numbers and the skill to make numbers speak by itself becomes an absolutely important skill set. Another reason for managers to acquire mastery over quantitative techniques is that it converts decision making from an art to science.

While there is no doubting the role of experience in facilitating decision making, expertise in quantitative techniques enables minimizing the risk involved in decision making by clubbing experience with appropriate tools and techniques. Having stated the importance of quantitative techniques, the unfortunate scenario is that very few managers actually use even the common basic tools and techniques for analyzing data. While we are entering a world of Big Data, and Corporates are waking up to the Competitive Advantage data brings, the analysis of the same is far from desired. This course shall enable participants to learn the basic concepts and introduce contemporary tools and techniques in analytics in a purely practical way that shall enable regular usage.

Every aspect of corporate functioning across hierarchies and domains involves dealing with numbers and making decisions based on them. It is thus imperative that number literacy and ability to fathom data, makes business sense out of them and use them as guiding light for decision making, be a strong weapon in the armour of any executive who intends to scale corporate glory.

The ability to take fact-based, accurate and profitable decisions is imperative to achieve competitive advantage in business at all point in times. This program on Advanced Business Analytics will thus equip the participants with analytical tools and prepare them for corporate roles across industries. The course is suitable for professionals working in analytics to enhance their knowledge as well as for those with analytical aptitude and would like to start new career in analytics. The core strength of this course is a thorough and comprehensive grounding into theoretical and logical understanding of core concepts of statistics.

The course shall help participants to identify, evaluate, and capture business analytic opportunities for value creation. This course will encourage the participants to develop an organizational culture of “passion to manage with facts“. Specifically, they would be able to generate consistent results, anticipate shift in trends and take tactical decisions which would better business results.

Contact us

Prof. Bhaskar Sinha Programme Coordinator Rizvi Institute of Management Studies & Research Email: bhaskarsinha@rmi.rizvi.edu.in Mob.: 7045641699
Name of the Institute : Rizvi Institute of Management Studies & Research Address : New Rizvi Education Complex, Off. Carter Road, Bandra (W), Mumbai – 400 050 Landline : +91 22 26042180 \| +91 22 26049710 \| +91 22 26044068 Website : www.rmi.rizvi.edu.in Email ID : businessanalytics@rmi.rizvi.edu.in Twitter : @RizviManagement

Course Deliverables

On completion of the course the participants should be able to:

Appreciate the emergence of business analytics as a competitive strategy.
Appreciate that the collection and statistical analysis of data improves business decisions and reduces the risk of implementing solutions that waste resources and effort.
Understand the foundations of data science; the role of descriptive, diagnostic, predictive and prescriptive analytics in firms.
Study the art of making the data speak through data visualization.
Select and deploy the correct statistical method for a given data analysis requirement. In particular, develop expertise in describing data, process management, hypothesis testing and model building.
Analyze data using statistical and data mining techniques and understand relationships between the underlying business processes of an organization.
Achieve a practical level of competence in building statistical models that suit business applications.
Recognise, develop and distinguish between models for cross sectional analysis at a single point in time and models for time series analysis at multiple points in time.
Increase your capability as a manager to ‘think statistically’ using data and use this capability to support your business intuition.
Use various packages and softwares that facilitate application of statistical techniques.

Course Advantages

The course shall :

Give a thorough grounding on theoretical statistical concepts.
Provide detailed explanation on the rational and application of almost all contemporary statistical and data mining techniques.
Cover concepts using case studies across spectrum of industries.
Use various packages and softwares so as to help participants acquire skill sets to use the same.
Very strongly integrate MS-Excel as a part of the teaching pedagogy.
Extensively and exhaustively teach tools like SAS, SPSS, R and Tableau.
Have facilitators who are real time practitioners thus bringing to the class real time applications.
Be extensively covered and taught through class room sessions only.

Course Structure

The course shall :

Be covered using classroom teaching only
Be spread over 9 months
Be spread over 50 days
Have 300 hours of teaching
Have sessions only on weekends
Each day shall have two sessions of 3 hours each
The sessions will be held from 10.00 am – 5.00 pm

Course Eligibility

Applicants interested in the course must :

Be at least a graduate from a recognized University
Have minimum two years of work experience
Comply with the admission procedure as stipulated

Course Essentials

The course mandates :

Participants must carry laptops for every session
Minimum attendance of 80% to be eligible for the certificate
Adhere to the disciplinary norms as laid by the Institute
Pay fees as per schedule

Course Completion

Participants shall successfully complete the course on the fulfillment of the following conditions:

Mandatory attendance of 80%
Completion of all assignments as and when given in the course
Appear for an end of the course assessment
Score minimum 50% of marks in the end of the course assessment

Course Reward

Participants who successfully complete the programme shall be awarded “Certificate in Advanced Business Analytics” by Rizvi Institute of Management Studies & Research.

The institute shall conduct a telephonic interview of the applicants who submit the form. Applicants shall be admitted basis the profile and the telephonic interview. Admitted candidates shall be informed by mail on the email id registered in the form.

The course shall commence from Saturday 6th August, 2016 with the Orientation Programme.

COURSE FEES AND PAYMENT

The course fees shall be Rs. 3,00,000/- inclusive of all taxes. The fees can be paid either by

Cheque favouring “Rizvi Institute of Management Studies & Research”

Through RTGS, the details of which are as below:

Name of the Beneficiary : Rizvi Institute of Management Studies & Research

Name of the Bank: Abhyudaya Cooperative Bank Ltd.

Account No.: 028021100000433

Type of Account : Current Account

IFSC : ABHY0065028

Branch : Sherly Rajan Road, Bandra West

The payment schedule is as below:

Rs. 1,50,000/- on admission

Rs. 1,50,000/- after three months of admission

The alumnus of Rizvi Institute of Management Studies & Research shall be given special preference in this course and can avail the course at Rs. 2,50,000/- per participant.

In case of corporates sponsoring candidates, the following shall be the fee structure:

Sr. No.	No. of Participants per organisation	Fee Amount per Participant
1.	3-5	Rs. 2,50,000/-
2.	More than 5	Rs. 2,00,000/-

1. Sanjay Gupta

Sanjay Gupta is an Assistant Professor at Rizvi Institute of Management Studies & Research. He specializes in Information Technology. Sanjay has an expertise in translating business requirements into structured systems specifications, analyze customer requirements and develop Information Technology solutions. He is proficient in various software technologies involving client server and web based development.

Sanjay Gupta has been in the training profession for more than 20 years focusing on the target groups ranging from fresher to senior technical professionals. Sanjay conducts trainings on various technical subjects in Information Technology. He holds a B.Tech. from IIT-B and is an MBA in Information Systems. He has been regularly conducting training programmes in Programming Languages, Data Base Management and Big Data.

2. Bhaskar Sinha

Bhaskar Sinha has held various academic and corporate positions in a career spanning 12 years. He has substantial experience in application of academic research across industries, designing industry-oriented courseware, organizing academia-industry interfaced guest lectures and training. Bhaskar specializes in the area of Firm Financing Decisions, Financial Intermediation, Market Microstructure, Applied Econometrics Research with a distinct goal to creating a paradigm shift in the strategy and practice of management professionals.

Bhaskar Sinha graduated with Electrical Engineering from Nagpur University with distinction and has a Post Graduate Diploma in Management with Finance & Marketing (dual specialization). Furthermore, he completed his management teachers program (MTP) specializing in Finance. He was awarded Full Scholarship from ICFAI University for the Visiting Scholars Program to Department of Finance, M. J. Whitman School of Management, Syracuse University, New York.

3. Rajesh Jakhotia

Rajesh is an Analytic Professional with over 15 years of experience. He started his career as a Software Engineer at Aptech Ltd. and then moved out into the Analytics field. He worked with Fractal Analytics, Adventity Global Services, Hansa Cequity in various roles. He last worked with Positive Integers as Director – Analytics before moving full-time in his own founded training company, K2 Analytics.

He has a deep domain expertise in the Retail Banking space. In his career he has worked with HDFC Bank, Axis Bank, Kotak Mahindra Bank. He also worked with some of the big NBFCs in India and financial services clients in Middle East and APAC regions. He was heading the Retail Banking Analytics practice in Fractal and Adventity Global Services. He has also worked with clients in Retail, Telecom and Hospitality sectors. Over his career he has delivered 100+ analytical models and solutions for various companies.

He is an accomplished corporate trainer and has successfully trained participants of companies such as Acumen Business Consultancy, Sethia Group, The Wadhwa Group, Shree Shubham Logistics, Rubberwala Builders and also several Non Profit Organisations.

4. Jamil Saudagar

Jamil Saudagar is an accomplished trainer in MS Excel and Financial Modelling. He provides consultancy and advisory services to corporate clients on MS Excel, Visual Studio, SQL Server and Oracle for business applications. He has a corporate work experience of 14 years, working across a wide spectrum of Banking and Financial Services verticals. His diverse exposure includes: Corporate Banking, Capital Markets and Fixed Income securities.

Jamil has a passion for writing computer programs that automate business processes and speed up data analysis. His application of various tools, which enhance efficiency and process productivity, has been adopted by his employers – Morgan Stanley, IL&FS and Citigroup.

7. Industry Experts from respective domains for application of Analytics across sectors.

1. Introduction to Business Analytics • Business Analytics – An Overview • Types of Analytics a. Descriptive b. Diagnostic c. Predictive d. Prescriptive • Framework of Analytics 2. Application of Business Analytics – An Overview 3. Descriptive Statistics • Business Statistics – An Overview • Scaling Techniques • Frequency Distribution • Measure of Central Tendencies • Measure of Dispersion 4. Visualising and Exploring Data • Graphs, Bar, Charts, Tables and Diagrams • Pivot Tables 5. Probability and Probability Distribution • Probability – Overview and Concepts • Types of Probability • Basic Analysis using Probability • Probability Distribution a. Discrete – Binomial and Poisson with Application b. Continuous – Normal Distribution 6. Sampling and Sampling Distribution • Sampling – Overview and Concepts • Critical understanding of Sampling • Sampling Theory • Sample Size Estimations • Sampling Distribution 7. Inferential Statistics • Testing of Hypothesis – Overview and Concepts • Testing of Hypothesis – Parametric Test a. T-test b. Z-test c. ANOVA • Testing of Hypothesis – Non Parametric Test a. Sign Test b. Chi Square c. Wilcoxon Test d. K-S Test e. Mann-Whitney U Test 8. Predictive Analysis • Forecasting Techniques • Time Series Analysis • Regression Analysis a. Simple Linear Regression b. Multiple Linear Regression c. Non Linear Regression • Probit and Logit Regression		9. Multivariate Analysis • MANOVA • Factor Analysis • Cluster Analysis • Conjoint Analysis • Correspondence Analysis • Multi Dimensional Scaling 10. Data Mining Techniques • Data Mining – Overview and Concepts • Types of Data Mining a. Supervised Learning I. Classification II. Prediction b. Unsupervised Learning • Affinity Group / Association Rule • Clustering • Description and Visualisation • Structured Techniques in Data Mining a. K Nearest Neighbour b. Naïve Bayes c. Decision Trees d. CART e. CHAID f. Discriminant Analysis g. Logistic Regression h. Neural Networks i. Genetic Algorithms j. Support Vector Machine k. Market Basket Analysis • Unstructured Techniques in Data Mining 11. Data Visualisation • Data Visualisation – Overview and Concepts • Story Telling using Tableau • Dashboard for Analysis 12. Optimisation Techniques • Optimisation – Overview and Concepts • Linear Programming • Variants of Linear Programming 13. Applications of Data Science in select domains • Retail • Banking • Telecom • Health Care • FMCG • Digital Marketing 14. Introduction to Big Data • Big Data – Overview and Concepts • Big Data – Technology 15. Exhaustive Coverage of following tools with applications • R • SPSS • SAS • Tableau

Finance is all about collecting savings and arranging to pass it on to the aspiring entrepreneurs for overall economic betterment and prosperity. However the method of financing has undergone sea changes over the years due to various factors including human experience and technological advancement. Traditional theories of financial intermediation that are based on transaction cost and information asymmetry have often been challenged due to reduced transaction and asymmetry costs. Traditional theories of financial intermediation are based on products and services that are of decreasing importance. The importance of different types of intermediary over the years has also undergone significant changes. Recurring financial crises in many countries has also led to increased scrutiny of the financial system and the regulatory environment that promotes and nurture it. There is a renewed call for financial systems to be analyzed in terms of its “functional perspective” rather than an “institutional perspective”. It is argued that over long periods of time functions have been much more stable than institutions. Institutions come and go, evolve and change but functional needs such as origination, distribution, servicing and funding remain same.

Declining importance of traditional intermediaries such as Banks as against newer forms of entities such as mutual funds and NBFCs has given new dimensions to the overall financial intermediation theories. There have also been calls for tax neutrality between debt and equity to curtail high level of debt and to keep the financial system more efficient and stable.

Alternative finance, which includes financial theories, instruments and distributive channels, has emerged either in contrast to the mainstream financial theories or outside of the traditional financial system. There are community-based organization (CBO) that do not like to conduct their financial business in certain manners such as charging or paying of interest, investing in sinful sectors like alcohol, gambling, tobacco etc. There are other groups who actively canvas against certain types of industries affecting environment or contributing to global warming. Emergence of Internet technology has led to emergence of several kinds of newer ways of financial intermediation. Equity-based crowd funding, peer-to-peer insurance and lending, providing venture capital to start-ups and MSMEs and offering more diverse and transparent ways for savers to invest or entrepreneurs to get finance, fostering innovation, generating jobs and funding worthwhile social causes. In the last few years, especially after the global financial crisis, alternative finance has picked up pace in many countries. The whole financial services value chain is expanding and there is every chance that if you are not proactive, you will be missing something.