BUSINESS ANALYTICSCERTIFIED

PRACTITIONER (CBAP) COURSE

HENRY HARVIN®

ANALYTICSA C A D E M YHENRY HARVIN®

EDUCATION

HENRY HARVIN®EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

WHAT IS BUSINESS ANALYTICS?

Business analytics (BA) refers to the skills, technologies, practices that are useful for deriving the perceptions that can be used for future business planning. It is a eld that is now applied across all domains and industries. Business analytics is used by companies committed to data-driven

decision-making. BA can be used to automate and optimize business processes. In other words, querying, reporting and alert tools can answer questions such as what happened, how many, how often, where the problem is, and what actions are needed.

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WHY BUSINESS ANALYTICS IS IMPORTANT?

Business analytics are a vital part of any business. Business analytics in the current scenario is very important. It has many benets. It can also be used to calculate an entire company. In order to nd aws in existing processes and focus on meaningful data that will help an organization prepare for future growth and challenges, Business analytics are performed. The necessity for good business analytics has urged the

creation of business analytics software and initiative platforms that source an organization’s data in order to systematize some of these measures and pick out meaningful visions. Business analytics are an essential part of any business. Business analytics make up continuous improvement programs, a large portion of decision support systems and many of the other techniques used to keep a business competitive.

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WHAT CAN YOU DO WITH BUSINESS ANALYTICS?

Business Analytic tools are now vital to succeed in your business and best part is that these tools can be connected on a single computer for small applications or in server environments for enterprise-wide placements. Once they are up and running, business analysts and others with less specialized training can use them to produce reports, charts and web portals that track precise metrics in data sets. Once you understand the business analytics you can apply it to different scenarios such as to analyze Analytical

Customer Relationship Management (CRM),Fraud Detection as Fraud is now an inescapable problem and can come in various forms, Forecasting and Inventory Management as Retailers are typically interested in predicting store-level or sector-level demand for inventory management purposes, Human Resource Department as Business Analytics is used by human resources (HR) departments to create a prole of their most successful employees and many other applications.

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ABOUT THE COURSE

HENRY HARVIN®EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

CURRICULUMThis course is carefully designed by domain experts in 5 modules that covers the best approaches and most in-use practises for data measurement & analysis:

Module 01 – Introduction, Data & Analytics, Linear RegressionModule 02 – Logistic RegressionModule 03 – Decision TreeModule 04 – Segmentation, Market Basket Analytics, Framework to solve analytics case studies

TOOLS LEARNEDGain the Skill to Explore + Analyse + Solve Business Problems using Analytics Tools: R & Advanced Excel.

METHODOLOGYUses mixes of techniques aligned to a unique pedagogy which is Goal-Centric & Action Oriented. Demonstrates Business Case Studies using the statistical tools, exercises & brainstorming using Adaptive Probing Methodology along with classroom theories and learning videos

CERTIFICATIONDistinguish your prole with global credential of 'Certied Business Analytics Practitioner' and showcase expertise by using the Hallmark of CBAP next to your name. For example: Mr.Rahul Bansal (CBAP)

Startup Focused OutcomesHelps in laying the foundation to Build a Startup in one of the most rewards eld of today. Additionally, can help support an existing startup with High ROI

DURATION/MODE4-days/32-hours Live Online Based Training & Certication Course leading to Professional Certication

LEARNING BASED OUTCOMESGet hands-on experience in applying analytics tools & techniques to real-world business problems and understand Analytics-Based Decision Making Thus, become a Data Driven Professional.

TRAINERDelivered by Senior Industry Professionals having extensive experience of Marketing Analytics in diverse domains & industries. These practitioners are also Empanelled as subject matter experts with Henry Harvin Analytics Academy

CONTENTGet 24 x 7 access to Henry Harvin’s Hybrid LMS platform (App / Mobile App-based) with Abundant Content on Business Analytics including Courseware (PPT / PDF), data, case studies, articles, books, videos, examples, presentations, resource library & related more

JOB ORIENTED OUTCOMESFill the Void of Talent Shortage in Analytics Domain by becoming eligible for thousands of High Paying Jobs in India & Abroad with an upgraded prole through this skill & certication. Additionally, Get Promoted from your current position with added skill set

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COURSE CURRICULUM

MODULE 1

IntroductionŸ What is AnalyticsŸ Types of AnalyticsŸ Business meets AnalyticsŸ Organisations using Business Analytics

Data & AnalyticsA.Data Collection & Data Understanding – BasicsŸ Data DictionaryŸ Data typesŸ Data Handling Outlier Treatment Handling Missing Values Dummy Vars

B.Business Data using - Excel MS Excel Functions Pivot Tables MS Excel Charts

Case Study: Help Client to identify revenue/prot in different regions and help & give recommendations

C.R Programming R-studio Understanding Basics Packages in R Swirl R Summarise & slice data

Case Study – Help cleanse the data to help Business manager compare the performance of sales team in different location

Linear Regression Ÿ What is regression?Ÿ Introduction to Linear RegressionŸ Applications & examples from the Business world

Case Study – A leading Insurance company in US would like to hire a Business analytics consultant to help predict claim losses.

Ÿ Understanding Data using R Uni-variate analysis Bi-variate analysisŸ Best t line – regressionŸ R-square, Adjusted R-square conceptŸ Test vs. Train datasets ( concept )Ÿ Running the regression in RŸ Linear Equation & signicant variablesŸ Assumptions of Linear RegressionŸ Testing Multi-collinearityŸ Heteroskedasticity

Use R , to help regress claim amount with various Business factors to give the required business recommendations and information in the given case study. Relate to Business factors with claims and how Linear regression is important tool for Business analytics.

MODULE 2

Logistic RegressionŸ Classication techniques & business problemsŸ Intro to Logistic Regression models Why Logistic vs. Linear models Odds Ratio Probability of an event Applications of Logistic regression models

Case Study – Help client predict which customer would churn. Associate a probability with each customer to predict the churn.

Ÿ Generalized Linear models using RŸ Shortlist the signicant variablesŸ Test vs. Train data setsŸ Validation of the model – Confusion matrix Evaluate the model and give business recommendations.

HENRY HARVIN®EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

MODULE 3

Decision Tree – Introduction Applications & industry examples Types of Decision Tree ( CART & CHAID ) Splitting Algorithms

Case Study – Understand the various factors interacting at a point of sales on an acquired merchant / shop for Mobile wallet. Use the model to predict Sales in order to acquire the merchant.

Ÿ R-codeŸ InterpretationŸ Final o/p

Case Study – Help the client team to understand customer satisfaction scores using NPS data from 3rd party survey.

Ÿ R-codeŸ InterpretationŸ Final o/p

Ÿ Working professionals with roles in following Domains: Marketing, Finance, HR, Operations, IT, Research & Development, Engineering and related more

Ÿ Students (MBA/PGDM, Engineering, B.Com, BBA, BA) who want to develop their career in analytics

Ÿ Executives and senior managers who are willing to use the large database of customer information available & are at a position to make Critical Business Decisions to inuence the revenue prospects of the organisation

Ÿ IT & Non-IT Professionals willing to Switch to Analytics Domain

Ÿ Individuals aspiring to get Exposure to practical applications of tool-based business analytics

Ÿ Individuals working in the following Industries: healthcare, logistics, aviation, banking, IT/ITeS, banking, nance, treasury, defense research, telecom, brewery, heavy machinery, marketing, automobile, pharmaceutical, FMCG, outsourcing, seaways, marine, packaging, hospitality and many more

MODULE 4

COURSE CURRICULUM

METHODOLOGY

FOR WHOM

HENRY HARVIN®EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

SegmentationA.K-MeansŸ Business analytics & unsupervised techniquesŸ Why and Where to use ClusteringŸ Clustering methods and examplesŸ K-means Clustering Algorithm K-means – Cluster the given set of vendor base to help in segmentation and identify different procuring strategies for each cluster Practice the k-means using R codes

B.RFM- Recency Frequency Monetary modelsIdentify differences in behaviour of Online shoppersI n-store shoppers Multi-channel shoppers

Market Basket AnalyticsŸ Intro to the BasicsŸ ApplicationsŸ AlgorithmCase Study – E-Retailer selling multiple products wants to devise recommendations on website R-code Interpretation Final o/pFramework to solve analytics case studiesCRISP – DM & other known frameworks

Ÿ The program is a global standard offering that uses mixes of techniques aligned to a unique pedagogy which is Goal-Centric & Action Oriented

Ÿ Includes classroom theory, learning videos, demonstration of statistical tools like Advanced Excel & R programming.

Ÿ Real-life case studies using the statistical tools demonstrated, exercises and brainstorming using adaptive probing methodology

Explore+Analyse+Solve Business Problems using

Analytics Tools like R & Advanced Excel.

Understand 'What' & 'How' aspects of Data Collection

Get insights from Industry Best Practices for Data

Measurement & Analysis

Communicate Business Objectives in a focused manner with data analysts & help evaluate results of data analysis better

Develop Goal Oriented Business Strategies

Gain Full View of Customers across Different Channels by Accessing+Integrating+Analysing Customer Data through Multiple Sources & Engage Customers in Real TimeUnderstand Afnity of

Product by Analyzing Transactional data

Take Actionable Data Driven Decisions to

increase market share

According to a 2015 MIT Sloan Management Review, 40 percent of the companies surveyed were struggling to nd and retain the data analytics talent (Source: Cio.com)

#10 LEARNING BENEFITS

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HENRY HARVIN®EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

Understand Analytics-Based Financial Decision Making to drive company's ROI

Helps with Adjusting to Macro Changes with predictive models

International Data Corporation (IDC) predicts a need by 2018 for 181,000 people with deep analytical skills, and a requirement 5x that number for jobs with the need for data management &

interpretation skills. (Source: Business.com)

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Become Eligible for analytics jobs demanding background

Open doors to Job Opportunities Abroad demanding specialization

Fill the void of thousands of untapped High-Paying Jobs in analytics with Talent Shortage

Get Promoted in your current prole with most in-demand skill

Distinguish your prole from peers during Job Interviews

Earn a Rewarding Certication- 'Certied Business Analytics

Practitioner' (CBAP)

Upgrade your biz card with Hallmark of Global Credential-CBAP Professional

added next to your name

Improve your CV & Linkedin Prole with professional development

Support your Startup with high ROI

Build a Startup in one of the most rewarding elds of today- Analytics !

#10 CAREER BENEFITS

HENRY HARVIN®EDUCATION

HENRY HARVIN®

ANALYTICSA C A D E M Y

About Henry Harvin Education

As a competency and career development organisation, Henry Harvin Education develops, enhances and promotes select skill-sets those are deemed essential of changing times. Embedding ‘Value Creation’ at the core of its vision, Henry Harvin Education partners with best in industry organisations and empanels domain experts to transform careers of diverse audience from industry and academia by harnessing the power of skill-centic training programs. These programs are carefully handcrafted to deliver tangible output for its learners by creating a distinguished biosphere of latest learning technologies, effective content and experienced trainers.Henry Harvin Education is inspired by contributions of Mr.Henry Dunster (First President of America’s Oldest University) to the education industry which sustain for over 400 years.

About Henry Harvin ANALYTICS ACADEMY Henry Harvin Analytics Academy has been setup with an objective to upskill the current technology and management workforce with in-demand analytics skillset. These skills are imparted through action oriented learning solutions that are carefully handcrafted by subject matter exper ts with extensive industry experience. These learning solutions are delivered using our unique goal-centric pedagogy by select professionals from leading organizations those also empanelled as domain experts with the academy. This enables the academy in achieving its goal of empowering aspiring analytics professionals to reach their full professional potential. Henry Harvin Analytics Academy aims to function in its outreach geographies and generate 50,000 employable analytics professionals till 2020 !

HENRY HARVIN®

ANALYTICSA C A D E M Y

henryharvin.com

info@henryharvin.com

+91 9015266266

+91 9599914134

HENRY HARVIN®EDUCATION

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