We create 2.5 quintillion bytes of data every day. So much that 90% of the data in the world today has been created in the last two years.
Business Analytics has thus created opportunities like never before. EduPristine and Dun & Bradstreet's Business analytics certification program will give you the edge in the competitive market.
Business and the governments are finding ways to make sense of all the available data. Business Analytics thus finds favor as it is the use of tools and techniques like data mining, pattern matching, data visualizations and predictive modeling to predict and optimize outcomes and derive value from the data. Equipped with this useful information, organizations can compete better in cut-throat markets both locally and globally.
Today, data is everywhere. We create it simply with the touch of a button. But how much of it is actually useful? Whether you are in Finance, Operations, Sales & Marketing or Planning, you will be in touch with million data points every day without being aware of how to derive valuable information from this data.
With EduPristine institute's Business Analytics training Program, you will be able to extract useful information from millions of bytes within minutes. This program focuses on Forecasting, Econometrics and Time Series Analysis and prediction of future outcomes based on historical patterns. It makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling and fact-based management to drive decision making.
The program consists of classroom training with a specially designed 10 days hands-on workshop where you can start interpreting data along with projects and assignments that have a real-world case study mode rather than just theory. (It is compulsory to carry your personal laptop to the class)
Dun & Bradstreet is an Amercian company headquartered in Short hills, New Jersey, US. Founded in 1841.
They are world's leading provider of global business information, knowledge and insights. They provide a wide suite of information and knowledge solutions in the areas of Risk Management, Financial Education, Economic Analysis and Sales & Marketing Solutions. Dun & Bradstreet products and solutions are aimed at helping customers turn information into insight, so as to support quick and confident decision making.
Dun & Bradstreet has been listed on the Fortune 500 and was one of the first companies to be publicly traded on the New York Stock Exchange.
The course will enable you to-
Sample Preview of Course Material:
Multivariate Linear Regression & Linear Regression Mode Development
This course is designed to equip professionals working in the fields of Finance, Marketing, Economics, Statistics, Mathematics, Computer Science, IT, Analytics, Marketing Research, or Commodity markets with the essential tools, techniques and skills to answer important business questions.
There are no real skills you need to take this course, although basic mathematics and good analytical skills will be beneficial. However, the course is designed for people with minimal mathematical knowledge.
The use of Business Analytics is widespread across all industries and functions, including Information Technology, Web/E-commerce, Healthcare, Law Enforcement, Banking and Insurance, Biotechnology, Human Resource Management. Some of the application areas include critical product analysis, target marketing, customer lifecycle management, customer service, social media behavior and link analysis, fraud detection, genetic research, inventory management, etc.
Below a list of a few Business Analytics roles across industries:
Tools for practice in class: MS Excel & R software
|Day 1 & 2 (Online): Basic Stats|
|Day 3: Introduction and Data Analytics|
|Introduction to Analytics - Overview|| Analytics v/s Analysis
|Data - Topic covered||
• Summarizing Data
• Outlier Treatment
|Case: Categorization of data variables||Exploring credit card customer database to define variable types & categorizing them.|
|Day 4 & 5: Linear Regression|
|Linear Regression – Topic Covered||
Correlation and Regression
Multivariate Linear Regression Theory
ANOVA (Analysis of Variance)
|Case: Multivariate Linear Regression||Identify and Quantify the factors responsible for loss amount for an Auto Insurance Company|
|Domain Covered||Insurance Industry|
|Day 6 & 7: Logistic Regression|
|Logistic Regression – Topics Covered||
Identifying problems in fitting linear regression on data having "Binary Response" variable
Generalized Linear Modeling (GLMs)
Logistic Regression Theory/Case
• Fitting the regression using SAS language
• Lift/Gains chart and Gini coefficient
• K-S stat
|Case: Multivariate Logistic Regression||Identify bank customers who will most likely default in making the payment on balance due.|
|Domain Covered||Banking Industry|
|Day 8: Decision Tree and Clustering|
|Decision Tree & Clustering – Topic Covered||
Data Mining and Decision Trees
Why and Where to use Clustering
K-means Clustering Algorithm
|Case: CHAID & CART Analysis||Identifying the classes of customer having higher default rate|
|Case: K-means Clustering||Identifying similar groups in database containing auto insurance policy records using K-means Clustering|
|Domain Covered||Insurance and Banking Industry|
|Day 9 & 10: Time Series Modeling|
|Logistic Regression – Topics Covered||
Models of time series
The Box-Jenkins model building process
• Identify the ARIMA model.
• Forecasting future sales based on historical data for an automobile company.
| Case 1: Time Series Modeling using R
Case 2: ARIMA Modeling
|Identify bank customers who will most likely default in making the payment on balance due.|
|Domain Covered||Automobile Industry|
|Day 11: Logistic Regression|
|Logistic Regression – Topic Covered||
Identify and develop Dependent variable
Prepare correlation matrix and VIF chart
Variable reduction through Multicollinearity
Perform Binning to prepare modeling dataset
Run the model
Write the Scoring or implementation strategy
|Case: Up-Sell Model||Propensity Model for Up-Sell in Telecom Industry|
|Domain Covered||Telecom Industry|
|Day 12: Market Basket Analysis|
|Association Rule – Topic Covered||
Affinity analysis to understand purchase behavior
Understanding Apriori algorithm
Analysis of output results to plan store layout, promotions and recommendations
|Case : Market Basket Analysis||Understanding apriori algorithm to identify affinity among the purchase data in the basket based on historical transactions.|
|Domain Covered||Retail Industry|
Case studies (15Hrs Classroom Session)
|Cross Sell Model||Propensity to Cross sell health insurance products to general insurance customers.|
|Market Mix Modeling||Optimization of the promotion expense using Market mix modeling|
|Churn Analytics||Developing a churn model to gauge the propensity of attrition among loyal and profitable customer segment.|
|Buy Till You Die Model||Predicting the future number of transactions a customer will make, thereby calculating the value of the customer in his/her lifetime.|
|Customer Lifetime Value Analysis||Predicting the customer survival along with the profitability to model the life time value of each customer.|
|Telecom Model to Estimate Bill||Building a model that can suggest right tariff plan based on estimated bill amount.|
|Sentiment Analysis||Process of detecting the contextual polarity of text to find whether a piece of writing is positive, negative or neutral.|
Data Visualization (15 Hrs Classroom Session)
|Data Visualization (15 Hrs Classroom Session)|
|The visualization design methodology|
|The Data Visualization Process|
|Working with Single Data Sources|
|Using Multiple Data Source|
|Using Calculations in Tableau|
|Comparing Measures Against a Goal|
|Tableau Geo coding, Advanced Mapping|
|Showing Distributions of Data|
|Statistics and Forecasting|
|Dashboard Best Practices|
|Sharing Your Work|
Get trained by topic experts with interactive learning in small batches.
Get trained in R software to carry out predictive modeling
Get trained on Business Analytics Techniques using most widely used software's in the Industry.
200 Hrs - Virtual Lab practice (SAS Language - valid till 1 year)
Easy to follow byte sized video tutorials of over 1200 minutes created by topic experts. Learn the concepts at your own pace.
Download the study notes to supplement the video tutorials.
Get the best training in analytics by understanding real world problems and scenarios.
Download the whole material anytime during your 1 year subscription and use it for any future reference.
Write to us and get your doubts solved by our experts within 2 business days. You can also initiate a discussion by posting it on active forums.
Certifications that will be issued to Business Analytics students are as under:
|Bangalore||7th May||Asha Plaza, Second Floor, #607, 80 Feet Pheripheral Road, Koramangala IV Block, Bangalore – 560095||18002005835|
|Chennai||25th June||Redsun Softech Pvt. Ltd. Temple Tower, 672 Anna Salai Nandanam Chennai Tamil Nadu||18002005835|
|Delhi||23rd April||EduPristine,#44,2nd Floor Regal Complex Outer Circle Connaught Place||18002005835|
|Hyderabad||7th May||Hotel Kens Srinagar Colony Plot No.53 Road No.3 Banjara Hills Besides Karnataka Bank, Hyderabad.||18002005835|
|Kolkata||18th June||Mangalam Business Centre. 22,Camac Street. Block A, 6th Floor, Kolkata.||18002005835|
|Mumbai-Andheri||7th May||7th Floor, 702, Raaj Chambers, Old Nagardas Road, Near Andheri Subway, Andheri East 400069||18002005835|
|Mumbai-Thane||18th June||1st Floor, Karnavat Classes, Lohar Lane, Opp Nagrik Store, Next to Kunj Vihar, Near Railway Station, Thane West 421504||18002005835|
|Pune||14th May||Symbioisis Centre for Distance Learning 1065 B,Gokhale Cross Road, Model Colony Pune - 411016, Maharashtra, India||18002005835|
|Business Analytics Course Highlights|
|10 Days Classroom Training (50 Hours)|
|48 Hrs Online Live Instructor base training (On SAS Language, R Studio and MS Excel)|
|Self paced learninig on Base SAS|
|200 Hours Virtual Lab Practice (On SAS Language - valid till 1 year)|
|Pre-requisite Video Tutorial on Basic Statistic and Data, along with "R Studio" Software|
|5 different domain case studies for practice purpose.|
|Subject wise Video recording|
|Webinar Video recording for each module|
|Forum to Discuss with Fellow Students and Experts|
|Downloadable Course Material|
|Tool used for Training – Classroom Session - MS Excel, R Studio|
|24 * 7 Access to Online Materials|
|3 Days Industrial Case Studies For Practice purpose -(15 Hours)|
|3 Days Data Visualization Training -(15 Hours)|
|PPT for Data Visualization Preparation|
|Data Visualization Assignments for practice|
The comprehensive Analytics program from Edupristine has been designed to create complete analytics professionals. It has been designed by experts with inputs from several leading analytics companies. It is delivered by practitioners who have rich experience of having worked for some of the best analytics firms and Fortune 500 clients. And the program uses a case-based approach to learning.
Learners with a background in business management, engineering, mathematics, statistics, or economics are best placed to undertake this program.
This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices.
The participants are expected to have the basic understanding of the following topic: 1)Basic Statistics* 2)To benefit from this course, you should be familiar with various aspects of Excel (preferably Excel 2007 or 2010).
You will be learning "R Studio" in classroom session, additionally in Online Instructor based training you will learn Interpretation on "SAS Language".
Yes, this will be purely classroom session we are conducting at 8 metro cities. Participants who cannot attend physically we have online Instructor based training also.
No. Currently it is available in select centres in Bengaluru, Chennai, Delhi, Hyderabad, Kolkata, Mumbai and Pune. It may be extended to other Edupristine centers in future.
The program has been designed based on the inputs of some of the leading analytics firms and is a balance between concepts and hands-on practice. There are intensive assignments, case-studies and projects.
Business Analyst, Data Analyst, Data Manager
To Analyse specific business problems and derive solutions using an array of analytic tools.
Interpret statistical result and link them to the business context.
Improving Systems by studying current practices, designing modification.
The following is only a representative list: 1. IT â€" Accenture, Infosys ,TCS,Wipro; 2. KPO - Genpact, WNS; 3. Citibank, Dell, HP, Spencers, Target; and 4. Niche: Brainmatics, Fractal Analytics, Mu Sigma.
This is one of the most exciting fields. The Harvard Business Review named it as one of the 'sexiest jobs of the 21st century.
This is one of those fields that people are switching to even very late in their careers because it is exciting and extremely well-paid with exceptionally bright growth prospects. The data revolution is just beginning!
This program has been designed using inputs from the industry and includes a balance between concepts and practical, hands-on skills. Throughout the program there are extensive assignments, cases and projects which ensure that learners pick up the requisite concepts and skills.
No. Programming is not required as a pre-requisite. However, those who are familiar with programming will be able to use it to their advantage.
IT experience is not necessary for this program.
Almost all the big corporations need analytics professionals. You can be hired in your own industry at entry/mid/senior level depending upon your experience and the training you have had. IT companies and Analytics KPOs hire people to work on client projects which cut across functional and vertical domains. If you have no prior work experience, you best option is to join one of these.
A mix of academic and industry experts, people who have worked on large analytics projects for Fortune 500 companies in retail, media, telecom, banking, insurance etc across the globe and taught at some of the premier institutes in India and abroad.
Subjects like BA usually require a lot of time. Covering this topic during the session, which spans over 10 days, was a big task. Today I can say that I have good knowledge of all the key concepts and I can work my way through all the modules and I can go on to build my own modules now.
The course encourages me to explore this area further & it has been an interesting experience which helped us learn, shape out approach towards problems.
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