Mode of learning : Online - Instructor Lead(LVC)
Domain / Subject : Business & Management
Function : Information Technology(IT)
Starts on : 11th Oct 2014
Duration : 60 Hours
Difficulty : Medium
Through this business analytics course you will learn how to use analytical techniques and the ‘SAS programming language’ to solve business problems in a number of fields like financial services, retail, FMCG etc. This is a comprehensive course which will take you from the basics of statistical techniques and ‘SAS programming language’ right up tobuilding predictive models. By the end of this course you will be able to demonstrate your business analytics skills to employers..
The business analytics course is designed to provide a hands-on, practical experience with over 15 real world case studies and data-sets. At the end of the classroom course there will be a multi-session, hands-on simulation of an analytics solution to an actual business problem. The online self-paced learners will view videos discussing the problem and depicting the solution.
This course is for students pursuing their graduation/post-graduation and also for working professionals who have completed their graduation in any field. There are no other prerequisites but you do need to have a quantitative bent of mind. For those who hate maths or numbers, while we shall try to make you as comfortable as possible, the analytics field itself may prove to be a challenge for you.
Introduction to business analytics
In this section we shall provide you an overview into the world of analytics. You will learn about the various applications of analytics, how companies are using analytics to prosper and study the analytics cycle.
Fundamentals of SAS language
This part is all about learning how to manage and manipulate data and datasets, the very first step of analytics. We shall teach you how to use the SAS language tool to work with data using a real-world case study
Hypothesis testing and ANOVA
With 95% confidence we can say that there is a 75% chance, people visiting this site thrice will enroll for the course :). Here, you learn how to create a hypothesis, test and validate it through data within a statistical framework and present it with clear and formal numbers to support decision making.
Data preparation using SAS language
Real world data is rarely going to be given to you perfect on a platter. It will always be dirty with missing data points, incorrect data, variables needing to be changed or created in order to analyze etc. A typical analytics project will have 60% of its time spent on preparing data for analysis. This is a crucial process as properly cleaned data will result in more accurate and stable analysis. We shall teach you all the techniques required to be successful in this aspect.
1. Correlation and Linear regression
A statistical model is the core of predictive analytics and regression is one of the most powerful tools for making predictions by finding patterns in data. You shall learn the basic of regression modelling hands-on through real world cases
2. Logistic regression
Logistic regression is the work-horse of the predictive analytics world. It is used to make predictions in cases where the outcomes are dual in nature i.e. an X or Y scenario where we need to predict if X will be the case or will Y, given some data. This is a must-know technique and we shall make you comfortable with it through real world problems.
3. Segmentation for marketing analytics
Learn why and how to statistically divide a broad customer market into various segments of customers who are similar to each other so as to be able to better target and meet their needs in a cost effective manner. This is one of the most essential techniques in marketing analytics.
Solving an actual business problem through analytics – Simulating an analytics project
Simulation of an actual analytics project where you shall be completely hands-on and you will understand how everything you have learnt so far comes together to solve a business problem through analytics.
Review and doubt solving
We shall ensure that you don’t leave without having every one of your doubts cleared
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