an overview of business analytics professional – r program at imarticus
TRANSCRIPT
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
Thank you
Get in touch with us at http://imarticus.org or call us + 91 22 40792314