R Programming the complete guide 2020

By ResearcherStore Categories: A-Technology, F-Computer Engineering

About Course

What is R Programming?

The R programming language is used for data analysis, data manipulation, graphics, statistical computing, and statistical analysis. In short, R helps you analyze data sets beyond basic Excel file analysis. The R programming language and development environment are open source and have grown in popularity since its conception in the early 90s by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.

The R Development Core Team is a community of developers engaged in the development and support of the R project from the R Foundation – a not-for-profit organization providing support for R and other innovations in statistical computing. R is a free software environment that runs on a wide variety of UNIX platforms, Linux, Windows, and Mac OS.

Jobs in R Programming

R programming skills are listed as a job requirement on thousands of jobs in the fields of statistics and data analysis. You’ll find R coding experience either required or recommended in job postings for data scientists, machine learning engineers, big data engineers, IT specialists, database developers, and much more. Adding R coding language skills to your CV will help you in any one of these data specializations requiring mastery of statistical techniques.

Course Content

R Programming For Beginners

R Programming For Beginners

00:00
Time Series Analysis – 2

00:00
Time Series Analysis – 1

00:00
Hierarchical Clustering

00:00
Support Vector Machine in R

00:00
Random Forest In R

00:00
Logistic Regression in R

00:00
Linear Regression Analysis using R

00:00
Linear Regression in R

00:00
Data Science With R Tutorial

00:00
Data Science With R

00:00
R Algorithms

00:00
Data Visualization In R

00:00
Pie Charts And Bar Charts In R

00:00
Predictive Modelling Techniques

00:00

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Bronze Plan

£5/We

You Get Weekly Access to this Course and all the other currently available and future related courses (which are over 1000). You will also receive a Certificate after complementing each course, which you can add to your CV or social media profiles as a proof of your qualification. Moreover, you will be able to ask any question you want to our team of experts directly via Email (which means you are getting direct support as well).

Silver Plan

£10/Mo

You Get Monthly Access to this Course and all the other currently available and future related courses (which are over 1000). You will also receive a Certificate after complementing each course, which you can add to your CV or social media profiles as a proof of your qualification. Moreover, you will be able to ask any question you want to our team of experts directly via Email (which means you are getting direct support as well).

Gold Plan: Life-time Access with One-time Payment

£25

You will get life-time access to this course and all other related current and future courses on our RS website. You will also receive a certificate of achievement for each course you complete, which you can add to your CV as a proof of your qualification. Moreover, you will be able to ask any question you want to our team of experts directly via Email or in a meeting via Zoom (100% Support).

Basic Plan

£1/Da

You Get Daily Access to this Course and all the other currently available and future related courses (which are over 1000). You will also receive a Certificate after complementing each course, which you can add to your CV or social media profiles as a proof of your qualification. Moreover, you will be able to ask any question you want to our team of experts directly via Email (which means you are getting direct support as well).

Beginner
1 Total Enrolled
16/06/2021 Last Updated
Enrollment validity: Lifetime
Certificate of completion

A course by

ResearcherStore

This course will enable you to:
1. Gain a foundational understanding of business analytics
2. Install R, R-studio, and workspace setup. You will also learn about the various R packages
3. Master the R programming and understand how various statements are executed in R
4. Gain an in-depth understanding of data structure used in R and learn to import/export data in R
5. Define, understand and use the various apply functions and DPLYP functions
6. Understand and use the various graphics in R for data visualization
7. Gain a basic understanding of the various statistical concepts
8. Understand and use hypothesis testing method to drive business decisions
9. Understand and use linear, non-linear regression models, and classification techniques for data analysis
10. Learn and use the various association rules and Apriori algorithm
11. Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering

There is an increasing demand for skilled data scientists across all industries which makes this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
1. IT professionals looking for a career switch into data science and analytics
2. Software developers looking for a career switch into data science and analytics
3. Professionals working in data and business analytics
4. Graduates looking to build a career in analytics and data science
5. Anyone with a genuine interest in the data science field
6. Experienced professionals who would like to harness data science in their fields