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 Analytics Online Course Classes are being conducted using professional grade IT conferencing system from Citrix. The students can interact with the faculty in real-time during the class using chat and voice. The students will be required to install a light-weight IT application on their device which could be a laptop, desktop, tablet or a mobile. Citrix supports Windows, iOS operating system and recommends an internet speed of 1 MBPS at the user's end.
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:
|Module 1||Introduction to Analytics, Data & Basic Statistics||Analytics v/s Analysis|
|Types of Analytics, Business domains within Analytics|
|Types of Data Variables & Summarizing Data|
|Central Tendency, Symmetry and Skewness|
|Random Variables, Probability Distribution, Central Limit Theorem|
|Sampling and Statistical inference, Confidence Intervals|
|Case Study 1: Banking Sector Credit Card Department|
|Module 2||Basic Statistics & Predictive Modeling||Hypothesis Testing & Analysis of Variance|
|Introduction to Tools and Software commonly used in Analytics|
|Multivariate Linear Regression Theory|
|Multivariate Linear Regression (Using Excel and R)|
|Module 3||Predictive Modeling & Forecasting||Logistic Regression (Using R)|
|Case Study 2:Case: Auto Insurance Company, Banking Sector Credit Card Department|
|Case Study 3: Auto Insurance Company, Banking Sector Credit Card Department|
|Module 4||Time Series Modeling||Models of time series : Moving averages & Autoregressive Models|
|Model Estimation , Model Validation & Model forecasting|
|Case Study 4: Sales Forecasting of Automobile company|
Get trained on Business Analytics Techniques using most widely used software's in the Industry.
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 video tutorials.
Get the best training in analytics by understanding real world problems and scenarios
Get trained in R software to carry out Linear and Logistic Regression
Download the whole material anytime during your 1 year subscription and use it for any future reference.
Create Analytical models following a step-by-step approach devised by professionals. These workbooks have been specially designed to ensure you incorporate best industry practices of analytical modeling.
Get your doubts solved even after the classroom sessions. You can schedule one Q&A session of upto 60 minutes with our experts within 30 days of classroom training.
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.
A reference to get ahead in your career. At the end of the course, you will receive a Certificate of Participation. You can also earn the Certificate of Excellence upon completing our course assignment (Please get in touch with our sales representative for more details).
|Online||22nd July||Live Webinar||18002005835|
|Business Analytics Course Fees|
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 on SAS Language, R Studio and MS Excel.
Training mode would be Live Virtual Classroom Training that you can attend any where you are and can interact with the faculty during the training hrs.
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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