Business Analytics Professional – RAn Overview

Agenda

OVERVIEW

COVERAGE

USP

ADMISSIONS BAP - R

APPENDIX:Imarticus Overview

Faculty ProfilesVisiting Faculties

Sample Learning MaterialOnline Learning Portal

Why R?

Cost of Ownership

R is an open source software that is free to download. Versatility

R is perhaps the only analytics software to run on MAC.

Data mining has entered its golden age. R is the weapon of choice for legions of data scientists!

What are the reasons for its sudden popularity?

A Data Scientists’ Dream

R is particularly useful in data analytics because it contains a number of built-in mechanisms for organizing data, running calculations on the information and creating graphical representations of data sets.

Some people familiar with R describe it as a supercharged version of Microsoft’s Excel spreadsheet software that can help illuminate data trends more clearly than is possible by entering information into rows and columns.

R offers extensive analytics capabilities

ranging from Text Analytics, Predictive,

Time Series, Optimization.

Rattle GUI is widely for data mining.

Big Data Analytics made possible by Revolution Analytics (Commercial

version of R)

• Integrates with other software vendors: SAS, Oracle, IBM, Teradata, TIBCO, Alteryx, SAP.• Integration with HDFS,

WEKA, Python, MATLAB.• R & Excel: RExcel is an

add in for Microsoft Excel, allowing access to the statistics package R from within Excel.

Integration

Customizable Data scientists can improve the software’s code or write variations for specific tasks.

Why R? (Contd.)

R You Ready for R?

R is the #1 Google Search for Advanced Analytics software Google Trends, March 2014

Highest Paid IT Skill Dice Survey,

Jan 2014Most-used data

science language after SQL

O’Reilly Survey, Jan 2014

70% of data miners use R

Rexer Survey, Oct 2013

Ranked #15 of all programming

languages RedMonk rankings,

Jan 2014

Growing faster than any other

data science language

KDNuggets Survey, Aug 2013

More than 2 million users worldwide. Oracle Estimate, Feb 2012

Demand for R language skills is on the rise.

FacebookGoogleTwitterFoursquareANZ Bank

FDAJohn DeereLloyds of London& Many More…

Companies Already Onboard R

The Business Analytics Professional – R (BAP-R) is a comprehensive, short-term program that provides aspirants with a thorough understanding of R programming

language for effective data analytics.

Overview of BAP-R

Instructor-led classroom training using a combination of lectures by

experienced faculty, case studies and live project work, managed by a fully

integrated online learning portal.

Learning Methodology

OBJECTIVETo gain practical knowledge of R

language as a tool for effective data analysis, which will enable aspirants

to apply the learnings in their respective careers.

KEY FOCUS AREASThe program provides insights into:• Statistics using R• Predictive, Text and Multivariate

Analytics• Optimization• Forecasting

BAP-R is a short-term weekend course lasting 3 months

Program Duration

The learning is divided into two levels: • Basic Analytics using R (Foundational)• Advanced Analytics using R (Advanced)

Program Options

• Basic Level: 1.5 Months• Advanced Level: 1.5 Months

Program Overview

Level 1 – Basic Analytics Using R

In this program, you will learn how to program in R and how to use R for effective data analysis. The program is divided into two levels: Basics and Advanced.

Module 1: R Basics

Module 2:Statistics using R

Module 3:Functions in R

Module 4:Review &

Evaluation

OF LEARNING TO GET YOU JOB READY FOR A CAREER IN

BUSINESS ANALYTICS!

120+Hours

60 Hours over

1.5 Month

Level 2 – Advanced Analytics Using R

Module 1: Predictive Analytics

Module 2: Text Analytics

Module 3: Multivariate

Analysis

Module 4: Optimization

Module 5: Forecasting

60 Hours over

1.5 Months

Soft Skills & Mock Interviews

Program Deliverables

Our BAP-R program is extremely practical and hands-on. It endorses the use of live cases studies and real-life business problems to deliver learning and ensure student’s are equipped with the needed skillsets to use R for analytics in the real world.

Live Project Work throughout Level 2

Quizzes and Tests After Each Topic

for Self-Assessment

Case Studies at the end of each

Module

Data Sets Industry relevant

for all topics

Conceptual Application

PEDAGOGY:Providing Business Context, Approach and Methodology

Program Overview: Basic Module

MODULE TOPICS SUB-TOPICS HOURS

R Basics

Introduction to R R-Studio, Packages in R, Installing Packages, Setting Directories 3

Basic Operations in R Programming Language Basics, Scalars, Vectors, Simple Calculations Data Structure, Data Frames

6

Data Manipulation

Data Acquisition(Import & Export), Sub-setting observations, Subsetting variables, Transforming Variables, Renaming and Recoding Variables, Conditional Processing, Missing Values, , Merging and Concatenating

Datasets, Using SQL in R

12

Statistics Using R

Basic Statistics in RDescriptive Statistics , Cross-Tabs,T-Tests, ANOVA, n-way ANOVA,

Correlations, Sampling, Bootstrapping, Simulating and Random Number Generation

12

Graphics in R Line Plots, Bar Charts, Pie Charts, Histograms, Scatter Plots, 3-D,Parallel Coordinates 4

Linear Models in R Simple Regression Analysis, Multiple Regression 3

Logistics Regression in R Logic Function, Maximum Likelihood Optimization, Odds Ratio. 4

Model Selection in R Selection Criterions, Stepwise Methods. 4

Functions in R Writing Functions in R Creating User Defined Functions 6

Review Course Review/Overall Evaluation

6

60 Hours

Program Overview: Advanced Module

MODULE SUBJECT TOPICS HOURS

Predictive Analytics

Review of Basic Statistics in R

Basic Statistics (Mean, Median, S.D.), ANOVA (CRD, RBD), Correlations, Outliers, Statistical Graphs 3

Predictive Modelling using Regression Analysis

Linear Regression: Modelling Assumptions 3

Predictive Modelling using Regression Analysis

Logistic Regression: Modelling Assumptions, Model Selection, Scoring

3

Predictive Modelling using Decision Trees Analysis &

Random Forest

Recursive Partitioning, CART, Splitting Criterion, Pruning 3

Other Predictive Modelling Tools

Support Vector Machine, K-Nearest Neighbor Algorithm

3

Text Analytics

Basics of Text Mining Preparing and Loading a Corpus, and other files, Performing

stemming; creating & exploring Term-Document matrix, N-Gram Analysis

3

Visualizations in Text Mining Creating and modifying a WordCloud, Reshaping, Resizing and Recoloring, Word Association Analysis

2

Advances in Text Analytics Text Clustering & Categorization 3

Advances in Text Analytics Sentiment Analysis 2

25 Hours

Program Overview: Advanced Module (Contd.)

MODULE SUBJECT TOPICS HOURS

Clustering Hierarchical Clustering, K-means Clustering 3

Variable Reduction Factor Analysis, Principal Component Analysis 3Multivariate Analysis

Association Mining Market Basket Analysis 3

Linear Programming & Goal programming in R

Objective Functions, Constraints and Solving LP & GP Problems

3

Integer Programming and Mixed Integer Linear

Programming

Objective Functions, Constraints and Solving ILP and MILP Problems

2Optimization

Business Forecasting in R Basic Time Series, Exponential Smoothing Models

3

Business Forecasting in R ARIMA Modeling in R 3Forecasting

20 Hours

5 Case Studies in Advanced Module 3 Hours devoted

for each Case Study

Incremental 15 Hours of case studies

Soft Skills & Mock Interviews will

also be covered

Involvement of Industry Experts

Industry ConnectBridging the growing divide between

academia and the industry

Design of Curriculum and Learning Methodology

Evaluation of Case Studies and Project Work

Guest Lectures, Knowledge Sharing and

FAQ Sessions

Industry experts advise

and mentor students in

their journey towards job-

readiness.

Timely and relevant knowledge and skill sets gained

A more thorough understanding of subject matter is gained

Personalized 1:1 attention and feedback on projects

Why BAP – R?

COMPREHENSIVE COVERAGE

• The course content covers a wide variety of relevant analytics topics such as predictive, text, optimization, time series etc.

• Industry vertical covered are Retail, Telecommunication, Financial services etc.

• Function covered are Sales and Marketing, Supply Chain Management etc.

APPLICATION OF KNOWLEDGE Hours of

Interactive Webinars

• The program goes beyond theoretical knowledge • Hands-on programming in analytical projects including

multiple industrial domains and scenarios• Learning methodology focuses heavily on use of case studies,

data sets and live project work

24/7 LEARNING VIA THE ONLINE

LEARNING PORTAL

Hours of Interactive Webinars

• State of the art online learning portal centralizes learning• 24/7 access to learning material, study aids and tests• Faculty and students spread across locations connect,

collaborate and share information• Behavioral analytics capture actionable data which offer

insights and corrective paths for improved learning

Experienced Candidates

Admission Criteria

Is BAP-R Right for You?

BAP-R is best suited for:

EXPERIENCED:Working

professionals looking to upscale their knowledge

FRESHERS:Freshers who would

like to explore various options in

Data Analytics

Field Currently Working In:

Moving up the value chain

Applicability:

Business Intelligence/Data

Warehousing

Specialization in Analytics

Business analyst/Consultant

Diversification to Analytics

Software programmer

• BSC (Maths and Physics), BE, Btech graduates from Tiered institutes with minimum 50% grades

• Prior programming knowledge is a must.

Knowledge and Skills up-gradation

Existing Analytics professionals

Admissions Process

Call 18001037480

or visit imarticus.org

and fill the inquiry form

Interested in BAP-R? Enroll now!

Book an in-center or an

online appointment for a profile review

or career counseling

Pay by cash, cheque, credit

card or NetBanking

facilities for ICICI or HDFC Bank

Appendix – A. About Us

About Imarticus Learning

• Imarticus Learning is formed to bridge the gap between academia and the industry. The firm provides a range of Corporate Solutions designed to assist firms in meeting its skillset requirements.

• Headquartered in Mumbai, Imarticus has delivery capabilities pan India with dedicated centers at Mumbai, Bangalore, Chennai, and satellite centers at Pune and Jaipur.

Our Areas of Expertise

RISK MANAGEMENTEncapsulates risk across the breadth of Credit,Market and Operational risk.GLOBAL MARKET OPERATIONSCovering End - to- End Securities Operation acrossvarious asset classes and markets around the world.INVESTMENT BANKING PRODUCTSExplores the role and details of Securities andDerivatives trading strategies used by buy-side andsell-side firms.ASSET MANAGEMENTAsset Management consists of an array of servicessuch as Custody, Investment Management, Trust,Real Estate and Corporate Administration.

BUSINESS ANALYTICSPractice of investigation of past businessperformance using data and statistical models inorder to develop new insights and understanding offuture business performance using the SAS suite.FINANCIAL TECHNOLOGY‘Advanced' application development skills, as wellas a comprehensive understanding of IT inInvestment Banking with extensive productknowledge.FOREIGN & TREASURY OPERATIONSCorporate Finance and Advisory Services andmanagement of short term and long-term liquidity.

Appendix – D. Sample Learning Material

In addition, you will find on the LMS:

QuizzesAssignments

EbooksData Sets

& Much More

Appendix – E. Online Learning PortalLoudCloud is a platform for improving knowledge capture and management, enabling faculty and students spread across locations to connect, collaborate and share information.

Share knowledge and collaborate with students

24/7 access to learning material, assignments, quizzes

Analyze student and faculty performance

Keep abreast of latest news & trends

QA& Thank You For Your Attention

Thank you

Get in touch with us at http://imarticus.org or call us + 91 22 40792314