Course Description

Tackle Data Analysis problems, using the open source language R and explore many different types of data, to predict expected future outcomes, and more!

John Wiley & Sons, Inc. USA

Established in 1807, Wiley is a global provider of content-enabled solutions to improve outcomes in research, education and professional practice with online tools, books, and eLearning trainings. Wiley’s strength lies in every major scientific, academic, and professional field.

Course curriculum

  • 1

    3.1 Using Functions and Packages in R

    • 3.1.1 Declaring User Defined Functions in R

    • 3.1.2 Using Functions And Packages In R Part-1-1

    • 3.1.3 Using Functions and Packages in R Part-2

    • 3.1.4 Using Functions and Packages in R Part-3

    • P.3.1 Using Functions and Packages in R Part 1

    • P.3.1 Using Functions and Packages in R Part 2

    • P.3.1 Using Functions and Packages in R Part 3
  • 2

    3.2 Descriptive Statistics in R

    • 3.2.1 Descriptive Statistics in R Part-1

    • 3.2.2 Descriptive Statistics in R Part-2

    • 3.2.3 Descriptive Statistics in R Part 3

    • 3.2.4 Descriptive Statistics in R Part-4

    • P.3.2 Descriptive Statistics in R Part 1

    • P.3.2 Descriptive Statistics in R Part 2

    • P.3.2 Descriptive Statistics in R Part 3

    • P.3.2 Descriptive Statistics in R Part 4
  • 3

    3.3 Analysing Data Using Functions, Loops and Data Frames, Introducing R, Hadoop

    • 3.3.1 Common Data Processing Examples Part-1

    • 3.3.2 Common Data Processing Examples Part-2

    • P.3.3 Analysing Data Using Functions, Loops and Data Frames, Introducing R, Hadoop Part 1

    • P.3.3 Analysing Data Using Functions, Loops and Data Frames, Introducing R, Hadoop Part 2
  • 4

    3.4 Graphical Analysis in R

    • 3.4.1 Simple Visualizations

    • 3.4.2 Box Plot

    • 3.4.3 Scatter Plot

    • 3.4.4 Histogram

    • P.3.4 Graphical Analysis in R Part 1

    • P.3.4 Graphical Analysis in R Part 2

    • P.3.4 Graphical Analysis in R Part 3
  • 5

    3.5 Hypothesis Testing in R

    • 3.5.1 Hypothesis Testing

    • 3.5.2 Normality Test

    • 3.5.3 1-Sample t Test

    • 3.5.4 2-Sample Test

    • 3.5.5 ANOVA

    • 3.5.6 Homogeneity of Variance

    • 3.5.7 Median Test

    • 3.5.8 Chi Square Test

    • P.3.5 Hypotheses Testing in R Part 1

    • P.3.5 Hypotheses Testing in R Part 2

    • P.3.5 Hypotheses Testing in R Part 3
  • 6

    3.6 Statistical Analysis on Massive Scale - Rhadoop and Mahout

    • 3.6.1 Porting R with Hadoop

    • 3.6.2 Integrating R and Hadoop and Understanding Hive Part-1

    • 3.6.3 Integrating R and Hadoop and Understanding Hive Part-2

    • P.3.6 Statistical Analysis on Massive Scale - Rhadoop and Mahout Part 1

    • P.3.6 Statistical Analysis on Massive Scale - Rhadoop and Mahout Part 2