Become an R Programmer

EDUCBA presents Become an R Programmer

Become an R Programmer

Course Description

15 high-quality and relevant video-based Courses with 76+ hours of well designed, well-crafted study materials on R Programming, Business Analyics, Data Science, Machine Learning, Regression, Hypothesis Testing, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree, Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis, Fraud analytics, Customer Analytics, Marketing Analytics, Pricing Analytics, Anova. Learn by doing. Verifiable Certificate of Completion for Courses. Full Lifetime Access. Let's learn how to use R programming for data science. This hands-on practical course it to learn about analytics using R, statistics using R ... Read More »

15 high-quality and relevant video-based Courses with 76+ hours of well designed, well-crafted study materials on R Programming, Business Analyics, Data Science, Machine Learning, Regression, Hypothesis Testing, Forecasting, Distribution, Normalization, Trend Analysis, Predictive Modeling, Fraud Detection, Neural Network, Sequential Model, Data Visualization, Data Analysis, Data Manipulation, KNN Algorithm, Decision Tree, Random Forests, Kmeans Clustering, Vector Machine, Time Series Analysis, Market Basket Analysis, Fraud analytics, Customer Analytics, Marketing Analytics, Pricing Analytics, Anova.

Learn by doing. Verifiable Certificate of Completion for Courses. Full Lifetime Access.

Let’s learn how to use R programming for data science. This hands-on practical course it to learn about analytics using R, statistics using R to analyze business data.

Over the years, EDUCBA has become the training standard for professional services firms, business professionals, and undergraduate and graduate students. Our extremely practical high-quality video library of courses serve professionals and students from all the leading global firms and top Institutes.

The following courses are included in this bundle:

  • Comprehensive Course on R
  • Business Analytics – Forecasting using R
  • Data Science with R
  • Machine Learning with R
  • Fraud Analytics using R & Microsoft Excel
  • Customer Analytics using R and Tableau
  • Marketing Analytics using R and Microsoft Excel
  • Pricing Analytics using R and Tableau
  • Business Analytics using R – Hands-on!
  • R Programming – Practical Data Science Using R
  • R Programming for Data Science | A Complete Courses to Learn
  • Data Visualization with R Shiny – The Fundamentals
  • R Studio Anova Techniques Course
  • Market Basket Analysis in R
  • Hypothesis Testing using R
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Course Details:

Target Audience


  • Analytics professional

  • Anyone interested in R Programming related Training

  • Web developers

  • People interested in statistics and data sciences

  • Researchers

Access Timeframe

Lifetime

Prerequisites

  • Passion to learn about R Programming Courses
  • Basic knowledge of statistics
Certificate Info:

Type of Certification

Certificate of Completion

Format of Certification

Digital

Professional Association/Affiliation

Certificates are recognized by EDUCBA

Method of Obtaining Certification

Upon successful completion of a course, the learner can download their certificate from their Learner Dashboard.

Course Outline

R is a programming language and related to software environment for statistical computing and graphics. R programming languages is mostly used in graphics, it also used mostly by statisticians for developing software.
This training is a practical and a quantitative course which will help you learn business analytics with the perspective of a data scientist. The learner of this course will learn the most relevant techniques used in the real world by data analysts of companies around the world.
The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself.
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions.
Learn how to effectively work around pricing to find out answers to key questions related to business analysis. We are using sophisticated statistical tools like R and Tableau to analyze data.This training is a practical and a quantitative course which will help you learn fraud analytics with the perspective of a data scientist.
Learn how to effectively work around customer data to find out answers to key questions related to business analysis. We are using sophisticated statistical tools like R and Tableau to analyze data.This training is a practical and a quantitative course which will help you learn customer analytics with the perspective of a data scientist.
This training is a practical and a quantitative course which will help you learn marketing analytics with the perspective of a data scientist. The learner of this course will learn the most relevant techniques used in the real world by data analysts of companies around the world.
This training is a practical and a quantitative course which will help you learn pricing analytics with the perspective of a data scientist. The learner of this course will learn the most relevant techniques used in the real world by data analysts of companies around the world.
Business analytics is the combination of skills, technologies and applications used by an organization to understand their business data and statistics in order to help them to take decisions. Business analytics solutions generally use data and quantitative analysis to calculate the past performance.
R is a programming language and related to software environment for statistical computing and graphics. R programming languages is mostly used in graphics, it also used mostly by statisticians for developing software’s.
R is a powerful language and environment that is used for statistical computing and graphics. Very similar to the S language and environment that was developed at Bell Laboratories by John Chambers and colleagues, while the R programme was a part of the GNU project.
Data visualization is understanding the significance of data by placing it in a visual context. Patterns, trends that might go unnoticed in text-based data can be exposed and recognized easier with data visualization software. It basically involves presentation of data in a pictorial or graphical format.
R Studio Anova Techniques Course is an online training which will help you to have a basic understanding of R-Studio ANOVA techniques. It will help you to do Analysis of Variance test also known as Anova in the statistical software R.
Market Basket Analysis is a modelling technique based upon the theory that if you buy a certain group of items, you are more (or less) likely to buy another group of items. We are understanding the conceptual foundations of association analysis and perform market basket analyses.
Hypothesis testing refers to a process wherein an analyst tests a statistical hypothesis. The nature of the data and goal of analysis affect the methodology employed by the analyst/researcher. The basic goal of each researcher is to accept or reject the hypothesis, based on the measurements of observed samples.

Technical Requirements

  • Computer with Internet Connection
  • Computer ready to run R and RStudio

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