Stay ahead by continuously learning and advancing your career. Learn More

Certificate in Data Analysis with R

Practice Exam
Take Free Test


Data Analysis with R


About Data Analysis with R

R programming language is an open-source language used for statistical computation or graphics, and R analytics is data analytics utilizing R programming language. This programming language is frequently employed in data mining and statistical analysis. It may be applied to analytics to find trends and create useful models.

Why is Data Analysis with R important?

As R features static visuals that generate high-quality data visualizations, many data scientists utilize it for studying data. Additionally, the programming language contains a sizable library that offers interactive visuals and facilitates the analysis of data visualization and representation.

The ability of R to interact with NoSQL databases and analyze unstructured data is another crucial feature. In Data Science applications where a pool of data has to be evaluated, this is particularly helpful. R allows data scientists to use machine learning algorithms to learn about the future.

Who should take the Data Analysis with R Exam?

  • R Programmer
  • Data Analyst
  • Stategy Analyst
  • Statistical Programmer
  • Python Professionals

Data Analysis with R Certification Course Outline

  1. Exploratory data analysis (EDA)
  2. R Basics
  3. Explore One Variable
  4. Explore Two Variables
  5. Explore Many Variables
  6. Diamonds and Price Predictions

Certificate in Data Analysis with R FAQs

The topics covered in thisexamare as follows-

Introduction

Descriptive Statistical Measures

Probability Distributions

Sampling and Estimation

Statistical Inference

R Programming Language Introduction

Reading Data from files

Probability Distributions

Statistical Models in R

R Graphics Facilities

R Data Import/Export

This exam is best suited for-

Working Professionals

Programmers

Software developers

Graduates

Executive managers


Linear and nonlinear modelling

Statistical tests

Classification

Time-series analysis

Clustering

Data analysis is the upcoming source of numerous opportunities. It is focused on analysing data sets and then applying statistical techniques for making decisions and predicting the success of businesses. R software is widely used for data analysis and graphical representation of data.