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Recession Proof Career with Business Analytics

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What is Recession Proof Job?

In every industry we found recession comes. It varies year after year, employees are even filtered out more when this kind of scenario comes.

It happens more or less with each industry depending upon year ending financial revenue, market demand and there are many more parameters we will discuss later.

Business Analytics is a types of career which becomes more demanding when recession occurs.

What is Business Analytics?

Business Analytics is a domain each and every industry is committed with for making data-driven decision.

This career needs extensive use of Mathematics and Statistics.

There are types of analysis not only to make a business more productive with a Predictive Analysis but this domain is also involved to detect Crime as well with Fraud Analysis.

Types of Analysis

There are types of analysis a Business Analyst goes through depending upon the industry the professional or a personnel working with.

Here we can name 3 types of data driven analysis depending upon the past numerical and statistical data.• Predictive Analysis• Prescriptive Analysis• Fraud Analysis (Mostly used in Banking Industry)

Skills of Data Analytics Professionals

To be a Data Analyst an individual should have M.SC in Mathematics or in Statistics.

The work is totally based upon fundamental statistical formulas like Mean, Median, Mode, Standard Deviation, Variance, Co-variance and many more.

Not only that but the usage of Statistical Tools like R, SAS, STATA and the very basic Excel is very important before you apply for Business Analytics.

R Program (Open Source)

R is a statistical language which was developed by Robert Gentleman and Ross Ihaka at the University of Auckland.

If you are good in Statistics, then you can start your journey with R program.

It is free and open source language and has several packages, developed by 20 members of CRANK (Comprehensive R Archieve Network). It comes with several advantages.

Advantages of Using R Program

Although it is free and open source statistical language and can be used by everyone, but the advantages it comes with are listed below.• It is Open Source (Life time free with unlimited updated

packages)• Data mining capability• Interprets raw data to statistical data• Graphical representation (Unlike SAS, most costly licensed

program)

Future Career of Digital Marketer

If you are from Digital Marketing OR Online Marketing background, and have knowledge in Statistics, then Business

Analysis/ Analytics can be a great career for you.

Just need to have knowledge of statistical languages like R, SAS with basics of Excel.