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An Overview of Business Analytics Professional – R Program at Imarticus

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The Business Analytics Professional – R is a comprehensive, short-term program that provides aspirants with a thorough understanding of R programming language for effective data analytics. The program is put together in consultation with leading corporates and industry professionals, ensuring that both the content and delivery mechanism is niche and highly relevant. – PowerPoint PPT presentation

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Title: An Overview of Business Analytics Professional – R Program at Imarticus


1
Business Analytics Professional R An Overview
2
Agenda
APPENDIX Imarticus Overview Faculty
Profiles Visiting Faculties Sample Learning
Material Online Learning Portal
3
Why R?
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?
Cost of Ownership
Versatility
R is an open source software that is free to
download.
R is perhaps the only analytics software to run
on MAC.
Customizable
Data scientists can improve the softwares code
or write variations for specific tasks.
A Data Scientists Dream
R offers extensive analytics capabilities
ranging from Text Analytics, Predictive, Time
Series, Optimization.
Integration
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 Microsofts Excel
spreadsheet software that can help illuminate
data trends more clearly than is possible by
entering information into rows and columns.
  • 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.

Rattle GUI is widely for data mining.
Big Data Analytics made possible by Revolution
Analytics (Commercial version of R)
4
Why R? (Contd.)
Growing faster than any other data science
language
70 of data miners use R
Highest Paid IT Skill
Rexer Survey, Oct 2013
Dice Survey, Jan 2014
KDNuggets Survey, Aug 2013
Ranked 15 of all programming languages
Most-used data science language after SQL
RedMonk rankings, Jan 2014
OReilly Survey, Jan 2014
Companies Already Onboard R
R is the 1 Google Search for Advanced Analytics
software Google Trends, March 2014
FDA John Deere Lloyds of London Many More
Facebook Google Twitter Foursquare ANZ Bank
More than 2 million users worldwide. Oracle
Estimate, Feb 2012
Demand for R language skills is on the rise.
R You Ready for R?
5
Overview of BAP-R
  • KEY FOCUS AREAS
  • The program provides insights into
  • Statistics using R
  • Predictive, Text and Multivariate Analytics
  • Optimization
  • Forecasting
  • Basic Level 1.5 Months
  • Advanced Level 1.5 Months

6
Program Overview
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.
Level 1 Basic Analytics Using R
Module 1 R Basics
Module 2 Statistics using R
Module 3 Functions in R
Module 4 Review Evaluation
60 Hours over 1.5 Month
Level 2 Advanced Analytics Using R
Soft Skills Mock Interviews
Module 1 Predictive Analytics
Module 2 Text Analytics
Module 3 Multivariate Analysis
Module 4 Optimization
Module 5 Forecasting
60 Hours over 1.5 Months
7
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 students are
equipped with the needed skillsets to use R for
analytics in the real world.
PEDAGOGY Providing Business Context, Approach
and Methodology
Conceptual
Application
8
Program Overview Basic Module
TOPICS
SUB-TOPICS
HOURS
MODULE
R-Studio, Packages in R, Installing Packages,
Setting Directories
3
Introduction to R
Programming Language Basics, Scalars, Vectors,
Simple Calculations Data Structure, Data Frames
6
Basic Operations in R
R Basics
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
Data Manipulation
12
60 Hours
Descriptive Statistics , Cross-Tabs,T-Tests,
ANOVA, n-way ANOVA, Correlations, Sampling,
Bootstrapping, Simulating and Random Number
Generation
Basic Statistics in R
12
Line Plots, Bar Charts, Pie Charts, Histograms,
Scatter Plots, 3-D,Parallel Coordinates
Graphics in R
4
Statistics Using R
Linear Models in R
Simple Regression Analysis, Multiple Regression
3
Logic Function, Maximum Likelihood Optimization,
Odds Ratio.
Logistics Regression in R
4
Model Selection in R
4
Selection Criterions, Stepwise Methods.
6
Functions in R
Writing Functions in R
Creating User Defined Functions
Course Review/Overall Evaluation
Review
6
9
Program Overview Advanced Module
MODULE
SUBJECT
TOPICS
HOURS
Basic Statistics (Mean, Median, S.D.), ANOVA
(CRD, RBD), Correlations, Outliers, Statistical
Graphs
Review of Basic Statistics in R
3
Predictive Modelling using Regression Analysis
Linear Regression Modelling Assumptions
3
Logistic Regression Modelling Assumptions,
Model Selection, Scoring
Predictive Modelling using Regression Analysis
3
Predictive Analytics
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
25 Hours
Preparing and Loading a Corpus, and other files,
Performing stemming creating exploring
Term-Document matrix, N-Gram Analysis
Basics of Text Mining
3
Creating and modifying a WordCloud, Reshaping,
Resizing and Recoloring, Word Association Analysis
Visualizations in Text Mining
2
Text Analytics
Advances in Text Analytics
Text Clustering Categorization
3
Advances in Text Analytics
Sentiment Analysis
2
10
Program Overview Advanced Module (Contd.)
MODULE
SUBJECT
TOPICS
HOURS
Clustering
Hierarchical Clustering, K-means Clustering
3
Variable Reduction
Factor Analysis, Principal Component Analysis
3
Multivariate Analysis
Association Mining
Market Basket Analysis
3
Objective Functions, Constraints and Solving LP
GP Problems
Linear Programming Goal programming in R
3
Integer Programming and Mixed Integer Linear
Programming
Objective Functions, Constraints and Solving ILP
and MILP Problems
2
Optimization
20 Hours
Business Forecasting in R
Basic Time Series, Exponential Smoothing Models
3
Forecasting
Business Forecasting in R
ARIMA Modeling in R
3
Case Studies in Advanced Module
Hours devoted for each Case Study
11
Involvement of Industry Experts
Industry Connect Bridging the growing divide
between academia and the industry
Design of Curriculum and Learning Methodology
Timely and relevant knowledge and skill sets
gained
Industry experts advise and mentor students in
their journey towards job-readiness.
Guest Lectures, Knowledge Sharing and FAQ
Sessions
A more thorough understanding of subject matter
is gained
Evaluation of Case Studies and Project Work
Personalized 11 attention and feedback on
projects
12
Why BAP R?
  • 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.

COMPREHENSIVE COVERAGE
  • 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

APPLICATION OF KNOWLEDGE
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

24/7 LEARNING VIA THE ONLINE LEARNING PORTAL
Hours of Interactive Webinars
13
Is BAP-R Right for You?
Experienced Candidates
Field Currently Working In
Applicability
Business Intelligence/Data Warehousing
Moving up the value chain
Specialization in Analytics
Business analyst/Consultant
BAP-R is best suited for
Diversification to Analytics
Software programmer
Knowledge and Skills up-gradation
Existing Analytics professionals
Admission Criteria
EXPERIENCED Working professionals looking to
upscale their knowledge
FRESHERS Freshers who would like to explore
various options in Data Analytics
  • BSC (Maths and Physics), BE, Btech graduates
    from Tiered institutes with minimum 50 grades
  • Prior programming knowledge is a must.

14
Admissions Process
Interested in BAP-R? Enroll now!
15
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
BUSINESS ANALYTICS Practice of investigation of
past business performance using data and
statistical models in order to develop new
insights and understanding of future business
performance using the SAS suite. FINANCIAL
TECHNOLOGY Advanced' application development
skills, as well as a comprehensive understanding
of IT in Investment Banking with extensive
product knowledge. FOREIGN TREASURY
OPERATIONS Corporate Finance and Advisory
Services and management of short term and
long-term liquidity.
RISK MANAGEMENT Encapsulates risk across the
breadth of Credit, Market and Operational
risk. GLOBAL MARKET OPERATIONS Covering End - to-
End Securities Operation across various asset
classes and markets around the world. INVESTMENT
BANKING PRODUCTS Explores the role and details of
Securities and Derivatives trading strategies
used by buy-side and sell-side firms. ASSET
MANAGEMENT Asset Management consists of an array
of services such as Custody, Investment
Management, Trust, Real Estate and Corporate
Administration.
16
Appendix D. Sample Learning Material
In addition, you will find on the
LMS Quizzes Assignments Ebooks Data Sets Much
More
17
Appendix E. Online Learning Portal
LoudCloud is a platform for improving knowledge
capture and management, enabling faculty and
students spread across locations to connect,
collaborate and share information.
Keep abreast of latest news trends
24/7 access to learning material, assignments,
quizzes
Share knowledge and collaborate with students
Analyze student and faculty performance
18
Q
A

19
Get in touch with us at http//imarticus.org or
call us 91 22 40792314
Thank you
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