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Business Analytics using R (Module #2) – Data Manipulation & Statistics


EduCBA

Summary

Price
£99 inc VAT
Or £33.00/mo. for 3 months... Read more
Study method
Online, self-paced
Duration
5 Hours
Access to content
Lifetime access
Qualification
No formal qualification
Additional info
  • Certificate of completion available and is included in the price

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Overview

Business Analytics using R (Module #2) – Data Manipulation & Statistics

  • 5+ Hours OF HD VIDEOS
  • Verifiable CERTIFICATION
  • Practical SKILLS DEVELOPMENT
  • Accelerate YOUR CAREER
  • Lifetime Access 24*7 Unlimited Access
  • Access through any device
  • Technical support
  • Mobile App Access

R has become the widely used programming language for computational statistics, visualization and data science. R is used by many statisticians, scientists and data analysts to find a solution for their problem in various fields. R is used as the most important tool for business analytics in companies like Google, Facebook and LinkedIn. R contains every data analytics techniques at your fingertips. It helps you to perform some of the most commonly performed tasks by business analysts with the help of its 4000 packages.

Description

Business Analytics using R (Module #2) – Data Manipulation & Statistics

Through this course you will learn about course introduction, evolution of business analytics, data for business analytics, descriptive decision models, data manipulation & statistics basics, merging, quantiles, calculating covariance, scatter plot, control flow, statistics, probability & distribution, exponential distribution practice problem, expected value from binomial, probability distributions examples and many more.

Please find the below curriculum of the courses:

Section: Introduction

  • Video Name: Course Introduction
  • Video Name: Course Curriculum
  • Video Name: Discriminant Analysis
  • Video Name: Introduction to R & Analytics
  • Video Name: Evolution of Business Analytics
  • Video Name: Business Example- Hotel
  • Video Name: Data for Business Analytics
  • Video Name: Ordinal Data
  • Video Name: Decision Model Example
  • Video Name: Descriptive Decision Models

Section: Data Manipulation & Statistics Basics

  • Video Name: Data Manipulation & Statistics Basics
  • Video Name: Merging
  • Video Name: Data Creation
  • Video Name: Merge Example
  • Video Name: What is Statistics
  • Video Name: Variables
  • Video Name: Quantiles
  • Video Name: Calculating Variance
  • Video Name: Calculating Covariance
  • Video Name: Cumulative Frequency
  • Video Name: Library (mass)
  • Video Name: Head (faithful)
  • Video Name: Scatter Plot
  • Video Name: Control Flow

Section: Statistics‚ Probability & Distribution

  • Video Name: Statistics‚ Probability & Distribution
  • Video Name: Random Variable
  • Video Name: Random Example
  • Video Name: Discrete Example
  • Video Name: Practice problem
  • Video Name: Continuous Case
  • Video Name: Exponential Distribution Practice Problem
  • Video Name: Expected Value
  • Video Name: Gambling Example
  • Video Name: Deal or no deal
  • Video Name: Distribution details
  • Video Name: Binomial Distribution continued
  • Video Name: Expected Value from Binomial
  • Video Name: Uniform Random Variables
  • Video Name: Probability distributions examples
  • Video Name: Probability distributions examples continued

Who is this course for?

  • This course will be useful for students and Data analysts and people from Analytics domain. It will also be useful for people who wanted to learn business analytics using R.

Requirements

  • The pre requisites for this course include basic knowledge of statistics. Knowledge in any other programming language is an added advantage but not a must.

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