Database Management  >  Mastering R Programming: For Data Science and Analytics
INFINITY COURSE

Mastering R Programming: For Data Science and Analytics

Sapna Kushwah
Join Now

Database Management - Mastering R Programming: For Data Science and Analytics

Course Description
Mastering R Programming: For Data Science and Analytics for Database Management 2022 is part of Database Management preparation. The notes and questions for Mastering R Programming: For Data Science and Analytics have been prepared according to the Database Management exam syllabus.Preparation for Mastering R Programming: For Data Science and Analytics in English is available as part of our Database Management preparation & Mastering R Programming: For Data Science and Analytics in Hindi for Database Management courses. Download more important topics related with Mastering R Programming: For Data Science and Analytics, notes, lectures and mock test series for Database Management Exam by signing up for free.

Course Description
Mastering R Programming: For Data Science and Analytics for Database Management 2022 is part of Database Management preparation. The notes and questions for Mastering R Programming: For Data Science and Analytics have been prepared according to the Database Management exam syllabus. Information about Mastering R Programming: For Data Science and Analytics covers all important topics for Database Management 2022 Exam. Find important definitions, questions, notes,examples, exercises test series, mock tests and Previous year questions (PYQs) below for Mastering R Programming: For Data Science and Analytics.
Preparation for Mastering R Programming: For Data Science and Analytics in English is available as part of our Database Management preparation & Mastering R Programming: For Data Science and Analytics in Hindi for Database Management courses. Download more important topics related with Mastering R Programming: For Data Science and Analytics, notes, lectures and mock test series for Database Management Exam by signing up for free.
Course Speciality
-Understand variables and the different data types
-Make yourself more marketable for entry level programming positions
-By the end of this course you will understand the fundamentals of the R operating system and be able to apply that knowledge in a practical and useful manner.
-Develop and Debug R programs
-Build a complete understanding of R from the ground up!
Full Syllabus, Lectures & Tests to study Mastering R Programming: For Data Science and Analytics - Database Management | Best Strategy to prepare for Mastering R Programming: For Data Science and Analytics | Free Course for Database Management Exam
Join Now

Course Creator

Related Searches

Introduction to R Programming: How to Download; Install and Setup R & RStudio (R Tutorial 1.2)

,

Poisson Distribution in R (R Tutorial 3.2)

,

How to Produce Stratified Boxplots in R (R Tutorial 2.2b)

,

Multiple Linear Regression with Interaction in R (R Tutorial 5.9)

,

How to Modify Plots in R (R Tutorial 2.8)

,

Categorical Variables in Linear Regression in R; Example #2 (R Tutorial 5.8)

,

Customizing The Look of R Studio (R Tutorial 1.13)

,

Two-Sample t Test in R: Independent Groups (R Tutorial 4.2)

,

What is a Sampling Distribution?

,

Mann Whitney U aka Wilcoxon Rank-Sum Test in R (R Tutorial 4.3)

,

Checking Linear Regression Assumptions in R (R Tutorial 5.2)

,

How to Make Scatterplots in R (R Tutorial 2.6)

,

Multiple Linear Regression in R (R Tutorial 5.3)

,

How to Calculate Correlation & Covariance in R (R Tutorial 4.9)

,

Relative Risk; Odds Ratio & Risk Difference (aka Attributable Risk) in R (R Tutorial 4.8)

,

Change Reference/Baseline Category for a Categorical Variable in Regression Model (R Tutorial 5.6)

,

What is RStudio and Why Should You Download It? (R Tutorial 1.1)

,

Chi-Square Test; Fisher's Exact Test; & Cross Tabulations in R (R Tutorial 4.7)

,

Analysis of Variance (ANOVA) and Multiple Comparisons in R (R Tutorial 4.6)

,

Binomial Distribution in R (R Tutorial 3.1)

,

What is a Hypothesis Test and a P-Value?

,

How to Set Up a Working Directory in R (R Tutorial 1.10)

,

Interpreting Interaction in Linear Regression (Tutorial 5.10)

,

How to Add Legends to Plots in R (R Tutorial 2.10)

,

How to create Vectors; Matrices; and more in R (R Tutorial 1.4)

,

What is a Confidence Interval?

,

Changing a Numeric Variable to Categorical Variable in R (R Tutorial 5.4)

,

Getting Started With R (R Tutorial 1.3)

,

Normal Distribution; Z Scores; and Normal Probabilities in R (R Tutorial 3.3)

,

Scripts for Reproducible Research in R (R Tutorial 1.11)

,

How to Make Histograms in R (R Tutorial 2.3)

,

How to Make Stem and Leaf Plots in R (R Tutorial 2.4)

,

How to Make Bar Charts and Pie Charts in R (R Tutorial 2.1)

,

Sensitivity; Specificity; Positive Predictive Value and Negative Predictive Value

,

T Distribution and t Scores in R (R Tutorial 3.4)

,

How to Make Stacked Bar Charts; Grouped Bar Charts and Mosaic Plots in R (R Tutorial 2.5)

,

How to Calculate Mean; Standard Deviation; Frequencies in R (Descriptive Statistics R Tutorial 2.7)

,

Dummy Variables or Indicator Variables (R Tutorial 5.5)

,

Linear Regression in R (R Tutorial 5.1)

,

Paired t Test in R (R Tutorial 4.4)

,

One-Sample t Test in R (R Tutorial 4.1)

,

How to Add Text to Plots in R (R Tutorial 2.9)

,

Variable Selection in Linear Regression Using Partial F-Test in R (Tutorial 5.11)

,

How to Make Boxplots and Boxplots With Groups in R (R Tutorial 2.2)

,

Working with Variables and Data in R (R Tutorial 1.7)

,

How to Subset Data in R With Square Brackets and Logic Statements (R Tutorial 1.8)

,

Wilcoxon Signed Rank Test in R (R Tutorial 4.5)

,

Categorical Variables or Factors in Linear Regression in R (R Tutorial 5.7)

,

How to Import Data; Copy Data from Excel to R: .csv & .txt Formats (R Tutorial 1.5)

,

How to Install Packages in R (R Tutorial 1.12)

,

Logic Statements (TRUE/FALSE) and cbind and rbind Command in R (R Tutorial 1.9)

,

Importing Data and Working With Data in R (R Tutorial 1.6)

This course includes:
50+ Videos
Premium content
Top teachers of India
Add To My Courses

Download free EduRev App

Track your progress, build streaks, highlight & save important lessons and more!

Course Speciality

-Understand variables and the different data types
-Make yourself more marketable for entry level programming positions
-By the end of this course you will understand the fundamentals of the R operating system and be able to apply that knowledge in a practical and useful manner.
-Develop and Debug R programs
-Build a complete understanding of R from the ground up!
Full Syllabus, Lectures & Tests to study Mastering R Programming: For Data Science and Analytics - Database Management | Best Strategy to prepare for Mastering R Programming: For Data Science and Analytics | Free Course for Database Management Exam