One Year Executive Program in Applied Business Analytics

Transcription

1 Vivekanand Education Society Institute of Management Studies & Research Big Data & Advanced Analytics One Year Executive Program in Applied Business Analytics In a rapidly changing global environment, organizations are feeling the pressure to make accurate and timely decisions. The ability to identify challenges, spot opportunities, and adapt with agility is not just a competitive advantage but also has become a requirement of survival. Big data has become a catchall phrase, and many organizations are now eyeing big data as an important source of information for decision making. The amount of data pouring into organizations through ever-expanding channels is staggering. According to one source, more data have been produced in the past two years than in all of prior history. Not only has the volume of data changed, but so has the variety: information is now collected from multiple channels, ranging from Web clicks to the unstructured data from social media. And the velocity at which organizations can now collect, analyze, and respond to data has added a new dimension. Organizations are now trying to find value out of this vast data. Finally, organizations must confront a new philosophy about decision-making. Today we live in an always-on world, where consumer preferences change even by the hour. They can cross channels at once and take a range of unusual and different paths to make a purchase. This means that organizations must be prepared to deploy new channels for decision-making, some of them automated that allow fast and agile responses to customer information. The Post Graduate Program in Business Analytics shall equip you with the right analytical tools. You shall get hands on experience by working on SAS platform and real time data sets. Program Objectives The course is technology driven and designed to provide in-depth knowledge of the Business Analytics tools that are used for decision making. To impart education in all the three segments of Business Analytics Data Management, Data Analytics and Data Visualization for creating Data Scientist Understand the use of Business Analytics in strategy building and gaining competitive advantage for the organization. Learning about data through data visualization Learning to use advanced analytical tools to disintegrate complex problems under uncertainty into simpler ones and helping organization to find optimal solutions. Learning latest technology to locate sources of big data, and analyzing the same for drawing inferences. Developing the ability to collect and analyze unstructured data from social media.

2 One Year Executive Program in Applied Business Analytics Program Delivery The Post Graduate Certification Program in Business Analytics shall be jointly delivered by VESIM and SAS (India). One Year Executive Program Duration of Course Number of Seats 30 Subjects Platform Tools Other Tools Lecture held on Fee One Year Fundamentals of Statistics EGBS Data Mining with eminer Forecasting Optimization Techniques Visual Analytics Financial & Risk Modeling / Market Automation SAS R Programming Hadoop Saturday & Sunday Batches Evening batches INR 2,40, % service tax Course Design 1. Fundamentals of Statistics This module shall cover descriptive statistics Measures of Central Tendency, Measures of Dispersion, Skewness & Kurtosis, Correlation & Regression, Probability & Probability Distributions, Sampling & Sampling Distribution, Estimation, Testing of Hypothesis and Parametric & Non Parametric Tests. 2. Statistical Analysis on EGBS (SAS Platform) Different types of data Data summarization methods; Tables, Graphs, Charts, Histograms, Frequency distributions, Relative frequency measures of central tendency and dispersion; Box Plot; Chebychev s Inequality Basic probability concepts, Conditional probability, Bayes Theorem, Probability distributions, Continuous and discrete distributions, Sequential decision-making

3 Sampling and estimation: Estimation problems, Point and interval estimates Hypothesis testing: Null and alternate hypotheses; Types of errors, Level of significance, Power of a test, ANOVA Test for goodness of fit, Non-parametric tests. 3. Data Mining with eminer (SAS Platform) Data Preparation Starting a new Enterprise Miner project Missing values Initial data exploration including data visualization/measurement levels or scales/variable reduction Transformation/recoding/binning Predictive Models Data splitting/balancing/overfitting/oversampling Logistic/linear regression Artificial neural networks (MLP) Decision trees Variable importance/odds ratio Profit/loss/prior probabilities Model Assessment Comparison between models/lift chart/roc/profit & loss Assessment of a single model Scoring and Implementation Score a data set Model implementation 4. Forecasting Simple Linear Regression, Coefficient of Determination, Tests of Significance, Residual Analysis, Confidence & Predictive Intervals. Multiple Linear Regression, Coefficient of multiple coefficient of determination, interpretation of regression coefficients, Categorical variables, heteroscedasticity, Multi-collinearity, outliers, Autoregression and Transformation of variables Logistic and Multinomial Regression: Logistic function, Estimation of probability using logistic regression, Deviance, Wald Test, Hosmer Lemshow Test Forecasting: Moving average, Exponential smoothing, Trend, Cyclical and seasonality components, ARIMA (autoregressive integrated moving average). Application of Predictive Modeling to marketing, retailing, health care, and insurance shall be covered

4 Transportation Models Integer Programming mixed integer & zero one programming, AHP Nonlinear programming 5. Optimization Models Linear Programming Sensitivity Analysis Transportation Models Integer Programming mixed integer & zero one programming, AHP Nonlinear programming 6. Advanced Statistical Analysis Principal component analysis, Factor analysis, Conjoint Analysis, Discriminant Analysis, ARCH (autoregressive conditional heteroscedasticity) GARCH (autoregressive conditional heteroscedasticity) Monte Carlo simulation 7. Financial & Risk Modeling Introduction to Credit Scoring Review of Basel I, Basel II, and Basel III Sampling and Data Preprocessing Developing PD Models for Basel II Survival Analysis for Credit Risk Modeling 8. R Programming Introduction to R Programming Working with R Studio Numbers and vectors Objects, their Modes and Attributes Ordered and unordered factors Arrays and Matrices List and Data Frames Reading from Data Files Probability Distributions Grouping loops and conditional execution Developing functions Statistical models in R Graphical procedures Packages 9. Hadoop What is Hadoop MapReduce Hadoop I/O Developing a MapReduce Application How MapReduce works

5 MapReduce Types & Formats MapReduce Features Setting a Hadoop Cluster Administering Hadoop Pig Hive HBase ZooKeeper Sqoop (Students are expected to submit assignments as per the schedule given. Assignments shall comprise of case studies and data analysis on various data sets) Number of Head Hours Lectures 60 Practice Hours 220 Project 60 Total Hours of Course 340 Practice Hours after completion of course 200 Payment Schedule for One Year Executive Program Amount in INR First Installment 90,000 At the time of admission Second Installment 90,000 After completion of three months Third Installment 96,000 After completion of six months Grand Total (Inclusive of 15%Tax) 2,76,000 SAS Global Certification Examination: SAS Global certificate is valid globally and can help students in their placements in Business Analytics. The students are requested to visit for further details of Global Certification Examination. Interested students should note the following SAS Global Certification Examination is conducted for every module. Students can appear for Global Certification Examination of SAS for any or all the modules after the successful completion of the course. Students shall have to pay the exam fees directly to SAS (India) and request for exam schedule. Students shall have to appear for the examination at SAS (India) office.

6 VESIM s Forum for Business Analytics & Department of Innovation & Research VESIM has started two unique projects VESIM s Forum for Business Analytics & Department of Innovation & Research. VESIM s Forum is a platform available to all Business Analytics enthusiasts where the members can share their views/articles/ideas with the world. Any student, faculty or analyst can become the member of this forum. The Department of Innovation & Research (DIR) is a platform for researchers. The membership for the DIR shall be by invitation only. Both the platforms shall help our students to network with the experts around the world. All the Business Analytics students shall be offered the membership for the Forum. For more details. Please logon to our website. Opportunity to Work with Our Industry Research Partners Our students shall get an opportunity to work closely with our Industry Research Partners like banks, Business Analytics companies, ecommerce companies, government organizations, energy sector and healthcare companies. Placement Assistance The Placement Office of VESIMSR shall assist students for placements in Business Analytics. Students clearing the global certification examinations shall have a better job opportunity. For further details and admission form, contact Prof. Brijesh Sharma Coordinator Mobile: Brijesh.sharma@ves.ac.in Website : Telephones: , Prof. Pranjal Muley Coordinator Mobile: pranjal.muley@ves.ac.in Website : Telephones: , Mrs. Kaval Kaur Bajwa Corporate Relations Mobile: / kaval.kaur@ves.ac.in Website : Telephones: , Address Hashu Advani Memorial Complex, , Collector s Colony, Chembur Mumbai, India