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Mastering R Programming: For Data Science and Analytics

All videos of Mastering R Programming: For Data Science and Analytics for Database Management Exam

Mastering R Programming: For Data Science and Analytics

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

05:21 min

Getting Started With R (R Tutorial 1.3)

07:48 min

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

08:35 min

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

06:59 min

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

08:46 min

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

08:10 min

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

04:39 min

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

04:21 min

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

08:26 min

Scripts for Reproducible Research in R (R Tutorial 1.11)

06:22 min

How to Install Packages in R (R Tutorial 1.12)

06:25 min

Customizing The Look of R Studio (R Tutorial 1.13)

03:54 min

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

04:51 min

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

04:15 min

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

07:32 min

How to Make Histograms in R (R Tutorial 2.3)

04:41 min

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

02:23 min

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

03:53 min

How to Make Scatterplots in R (R Tutorial 2.6)

04:44 min

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

06:50 min

How to Modify Plots in R (R Tutorial 2.8)

15:16 min

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

07:58 min

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

08:28 min

Binomial Distribution in R (R Tutorial 3.1)

03:57 min

Poisson Distribution in R (R Tutorial 3.2)

04:02 min

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

06:44 min

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

04:19 min

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

04:40 min

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

06:31 min

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

04:20 min

Paired t Test in R (R Tutorial 4.4)

04:20 min

Wilcoxon Signed Rank Test in R (R Tutorial 4.5)

03:39 min

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

04:37 min

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

03:44 min

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

06:52 min

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

06:36 min

Linear Regression in R (R Tutorial 5.1)

05:38 min

Checking Linear Regression Assumptions in R (R Tutorial 5.2)

07:50 min

Multiple Linear Regression in R (R Tutorial 5.3)

05:19 min

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

05:22 min

Dummy Variables or Indicator Variables (R Tutorial 5.5)

06:41 min

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

04:19 min

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

05:42 min

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

06:31 min

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

07:16 min

Interpreting Interaction in Linear Regression (Tutorial 5.10)

06:43 min

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

09:51 min

Sensitivity; Specificity; Positive Predictive Value and Negative Predictive Value

11:40 min

What is a Sampling Distribution?

09:15 min

What is a Confidence Interval?

05:58 min

What is a Hypothesis Test and a P-Value?

07:34 min

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