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Analytics with R:02 – Statistics

EduCBA

Summary

Price
£149 inc VAT
Or £49.67/mo. for 3 months...
Study method
Online
Duration
4 hours · Self-paced
Access to content
Lifetime access
Qualification
No formal qualification
Certificates
  • Certificate of completion - Free

Overview

Data Science and Machine Learning with R (Part #2) – Statistics with R

  • 4+ 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

In the recent years 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.

Certificates

Certificate of completion

Digital certificate - Included

Description

Data Science and Machine Learning with R (Part #2) – Statistics with R

Through this course we will learn about data manipulation & statistics basics, merging, data creation, merge example, what is statistics, variables, quantiles, calculating variance, calculating covariance, cumulative frequency, library (mass), head (faithful), scatter plot, control flow, statistics, probability & distribution, random variable & examples, discrete example, practice problem, continuous case, exponential distribution practice problem, expected value, gambling example, deal or no deal, distribution details, expected value from binomial, uniform random variables and probability distributions examples.

Please find the below curriculum of the courses:

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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Legal information

This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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