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Business Analytics using R

Business Analytics using R Online Training Course will help to make efficient, profitable, data-driven business decisions and take a giant leap in your career with a certificate in business analytics using R.

  • 45000
  • 50000
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  • Course Includes
  • Live Class Practical Oriented Training
  • 120 + Hrs Instructor LED Training
  • 60 + Hrs Practical Exercise
  • 35 + Hrs Project Work & Assignment
  • Timely Doubt Resolution
  • Dedicated Student Success Mentor
  • Certification & Job Assistance
  • Free Access to Workshop & Webinar
  • No Cost EMI Option
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What you will learn

  • Use basic statistical concepts on multiple types of data to prepare reports.
  • Use data sampling techniques to select, manipulate and analyse different data points to identify patterns and trends.
  • Solve complex problems with R which is the most popular language for data science and an essential tool for Finance and...
  • Optimise business situations that involve whole numbers, take decisions that involve multiple input variables to predict...
  • Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to r...
  • Compute correlation between data points in a time series.
  • Test hypothesis for experiments involving different treatments and Identify the source of differences to pinpoint which...
  • Model continuous outcomes that depend on more than one input variable.

Requirements

  • basic understanding of Computer Programming Languages.

Description

|| About Business Analytics using R Training Course

BIT’s comprehensive certificate in Business Analytics using R is tailored to train candidates on all aspects of Business Analytics; starting from exploratory data analysis, statistical and quantitative analysis, testing analytics models and forecasting through predictive modelling using R. Learn complete Machine learning, Deep learning, business analytics with R Programmning covering applied statistics, R programming, data visualization & machine learning models like pca, neural network, CART, Logistic regression & more. Nearly every aspect of business is affected by Business analytics. There are many powerful tools that can quickly process large amounts of data. For businesses to capitalize on data analytics, they need leaders who understand the data analytic process. Even more valuable are leaders who know how to analyze big data. This course addresses the human skills gap by providing a foundational set of data analytic skills that can be applied to many business settings.

 

The Business Analytics using R Online training modules enable the candidates how they would be able to deal with the text-based data analysis and integration of the unstructured data analysis. Focusing on the subject matter the candidates will all learn all from introduction to the clustering, network analysis, sentiment analysis, topic modeling, TM package in R and regular expressions lies in between, which all are considered as a  very essential part of the module in making a data analyst understand the ethics of Text Mining with R.

Course Content

Live Lecture

·      Introduction to Business Intelligence

·      Introduction to Business Analytics

·      Introduction to Data

·      Introduction to Information

·      How information hierarchy can be improved/introduced

·      Understanding Business Analytics and R

·      Knowledge about the R language

·      Its community and ecosystem

·      Understand the use of 'R' in the industry

·      Compare R with other software in analytics

·      Install R and the packages useful for the course

·      Perform basic operations in R using command line

·      Learn the use of IDE R Studio and Various GUI

·      Use the ‘R help’ feature in R

·      Worldwide R community collaboration

·      Practical Exercise              

Live Lecture

·      Importance of data in business analytics

·      Differences between data, information and knowledge

·      The various stages that an organization goes through in terms of data maturity

·      Business Analytics, Business Intelligence and Data Mining

·      Differences between Business Analytics and Business Intelligence

·      Describe the two major components within Business Analytics and Business Intelligence

·      Data Mining technique helps both Business Intelligence and Business Analytics

·      Analytical Decision-Making Process

·      Analysing Business Problems

·      Practical Exercise              

Live Lecture

·      Installation of rstudio

·      Implementing simple mathematical operations

·      Logic using R operators

·      Loops

·      If statements

·      Switch cases

·      Practical Exercise              

Live Lecture

·      Introduction to data exploration

·      Importing and exporting data to/from external sources

·      What are data exploratory analysis and data importing?

·      Dataframes

·      Accessing individual elements

·      Vectors

·      Factors

·      Operators

·      In-built functions

·      Conditional Looping statements

·      User-defined functions

·      Data types

·      Practical Exercise