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Analytics with R:01 – An Overview Training

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 #1) – Understanding R

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  • Practical SKILLS DEVELOPMENT
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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.

Description

Data Science and Machine Learning with R (Part #1) – Understanding R

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.

Through this course we will learn about course introduction, course curriculum, discriminant analysis, introduction to r & analytics, evolution of business analytics, business example- hotel, data for business analytics, ordinal data, decision model example, descriptive decision models, business analytics life cycle, model deployment, steps in problem solving process, software used in business analytics, getting started with r, installing r studio, basics of r & function, data types, recycling rule, special numerical values, parallel summary functions, logical conjunctions, pasting strings together, type coercion, array & matrix, factor, repository & packages, installing a package, importing data, importing data spss, working with data and data aggregation.

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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Certificates

Certificate of completion

Digital certificate - Included

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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.

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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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