infyni

Business Analytics

This live, online course from an industry veteran teaches you to analyze and explore enterprise data to find valuable insights that can be exploited for competitive advantage. When you have instructors interacting with you, learning is easier. Get all your doubts cleared in real time.

Live Course

Live Class: Friday, 08 Mar

Duration: 16 Hours

Enrolled: 2

Offered by: infyni

Live Course

About Course

Business Analytics allows organizations to better understand, anticipate and shape business outcomes. This course serves as an introduction to big data analytics and is meant for anyone interested in pursuing Analytics.
You will learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations. The course teaches you to develop an analytic mindset that will help you make strategic decisions, mainly focusing on the skills, technologies, applications and practices for business planning.

Core Skills Needed for Business Analytics :

A good communicator
Inquisitive
A problem solver
A critical thinker
A visualizer

Technical skills needed for Business Analytics

Statistical Languages
Statistical Software

Skills You Will Gain

Business Analytics Descriptive Analytics Data presentation and interpretation Predictive Analytics Probability distributions Sampling and estimation Correlation and Regression Analysis Forecasting techniques Prescriptive Analytics Linear programming Case Studies

Course Offerings

Instructor-led interactive classes
Clarify your doubts during class
Access recordings of the class
Attend on mobile or tablet
Live projects to practice
Case studies to learn from
Lifetime mentorship support
Industry specific curriculum
Certificate of completion
Employability opportunity

Topics
Instructor (1)

1 Introduction to Business Analytics

Concept of data-driven decision making
Need for business analytics
Analytics spectrum – descriptive
Predictive and Prescriptive analytics

2 Descriptive Analytics

Introduction to data types and scales
Data presentation and interpretation – frequency distributions, histograms, ogives, Measures of central tendency, dispersion, shape

3 Predictive Analytics

Introduction to probability and its business context
Probability distributions and their business applications – Binomial, Poisson, Normal distribution
Sampling and estimation of Mean, confidence intervals
Hypothesis testing for population mean, comparison of two samples
Non-parametric tests and Analysis of Variance
Correlation and Regression Analysis – simple and multiple linear regression
Forecasting techniques – trend, seasonality, associations

4 Prescriptive Analytics

Introduction to prescriptive analytics
Linear programming and its business applications
Graphical solution to Linear Programming problems
Use of MS Excel in solving optimization problems

5 Case Studies

Predicting insurance frauds
HR analytics – employee stability
Marketing analytics

Upendra Lele

About Instructor

An alumni of IIT Mumbai, Upendra Lele comes with 3 decades experience in the IT, Education and Manufacturing industry. He not only managed projects for several companies and provided management consultation for SMEs but was also an internal auditor for ISO implementation. Lele comes with foreign experience having led projects in the US, Middle & Far East.

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