R Programming for Data Science

سرفصل های دوره

Learn R Programming Fundamentals, Data Wrangling, Data Visualization for Data Science

1. Introduction

1. Introduction

2. What is R

3. Why Learn R

4. Features of R Language

5. Importance of R in Data Science

6. Advantages of using R

7. Applications of R Programming

8. Career Opportunities and Job Roles

2. Getting Started with R

1. Installing R Software

2. Installing RStudio

3. Look around RStudio Interface

4. Help & Examples Facility for R Features and Functions

5. Changing Look and Feel of RStudio (Optional)

6. Some General Functions Good to Know

7.1 Source Code WitingFirst.R.html

7. Writing R Program using RGui

8. Writing R Program using RStudio

9.1 Source Code Comments.R.html

9. Using Comments in R Scripts

3. R Basics

1. Using R for Arithmetics

2.1 Source Code BasicComputation.R.html

2. Using Mathematical Functions

3.1 Source Code Variables.R.html

3. Variables

4. Keywords or Reserved Words

5. Simple Program to Compute Interest

6.1 Source Code VariableAssignment.R.html

6. Variable Assignments

7. Displaying Output

8. Reading Input

9. Qiuz.html

10. Quiz.html

4. Atomic Data Types

1. Statically and Dynamically Typed Languages

2.1 Source Code DataTypes.R.html

2. Atomic Data Types

3. Numeric Type

4. Integer Type

5. Complex Type

6. Logical Type

7. Character Type

8. Type Conversions

9. Conversion to Numeric Type

10. Conversion to Integer Type

11. Conversion to Complex Type

12. Conversion to Logical Type

13. Conversion to Character Type

5. Operators

1.1 Source Code RelationalOperators.R.html

1. Relational Operators

2.1 Source Code LogicalOperaotors.R.html

2. Logical Operators

6. Vectors

1.1 Source Code CreatingVectors.R.html

1. Creating Vectors

2.1 Source Code VectorIndexing.R.html

2. Subsetting Vectors

3.1 Source Code MatchingOperator.R.html

3. Matching Operator

4.1 Source Code VectorArithmetic.R.html

4. Vector Arithmetic

5.1 Source Code VectorArithmetic.R.html

5. Vector Methods & Operations

6.1 Source Code ImplicitExplicitCoercion.R.html

6. Implicit & Explicit Coercion

7.1 Source Code LogicalVectors.R.html

7. Logical Vectors

8.1 Source Code Mathematical.R.html

8. Mathematical Functions

9.1 Source Code RandomNumbers.R.html

9. Generating Random Numbers

10.1 Source Code Sequences.R.html

10. Sequences

11.1 Source Code Repitition.R.html

11. Replicate

12. Quiz.html

7. Matrices

1.1 Source Code CreatingMatrices.R.html

1. Creating Matrix

2.1 Source Code Usingdiagfunction.R.html

2. Using diag() Function

3.1 Source Code NamingRowsColumns.R.html

3. Naming Rows and Columns of Matrix

4.1 Source Code MatrixIndexing.R.html

4. Subsetting Matrix

5.1 Source Code RowColBinding.R.html

5. Martix rbind() and cbind()

6.1 Source Code MatrixOperations.R.html

6. Matrix Operations

7.1 Source Code MatrixApply.R.html

7. Matrix Specific Function

8. Quiz.html

8. Lists

1.1 Source Code CreatingLists.R.html

1. Creating Lists

2.1 Source Code ListIndexing.R.html

2. Subsetting or Slicing List

3.1 Source Code NamingLists.R.html

3. Naming List & Subset Operator

4.1 Source Code ListConcatenation.R.html

4. Lists Concatenation

5. Quiz.html

9. Factors

1.1 Source Code Factors.R.html

1. Factors

10. Data Frames

1. What are Data Frames

2.1 Source Code CreatingDataframes.R.html

2. Creating Data Frames

3.1 Source Code DataFrameIndexing.R.html

3. Subseting Data Frame

4.1 Source Code Dataframesubset.R.html

4. Data Frame subset() function

5.1 Source Code Dataframerbindcbind.R.html

5. Data Frame rbind() and cbind() functions

6.1 Source Code dataframeedit.R.html

6. Data Frame edit() function

7.1 Source Code MissingValues.R.html

7. Missing Data in Data Frames

8. Quiz.html

11. Control Structures

1. Control Structures

2.1 Source Code ifelse.R.html

2. if, if-else and else-if statements

3.1 Source Code ifelsefunction.R.html

3. ifelse() function

4.1 Source Code forloop.R.html

4. for Loop

5.1 Source Code whileloop.R.html

5. while Loop

6.1 Source Code repeatloop.R.html

6. repeat Loop

7.1 Source Code breaknext.R.html

7. break & next statement

8. Quiz.html

12. Functions

1.1 Source Code Functions.R.html

1. Functions

2.1 Source Code DefaultArguments.R.html

2. Default and Named Arguments

3.1 Source Code LazyFunctions.R.html

3. Lazy Evaluation

4.1 Source Code ReturningMultipleValues.R.html

4. Functions Returning Multiple Values

5.1 Source Code InlineFunctions.R.html

5. Inline Functions

13. Importing Data in Data Frame

1.1 Dataset data.txt.html

1.2 Dataset datadollar.txt.html

1.3 Dataset dataspace.txt.html

1.4 Source Code importdatatable.R.html

1. Import Data from Text Files

2.1 Dataset data.csv.html

2.2 Source Code importdatacsv.R.html

2. Import Data from CSV Files

3.1 Dataset chicago.rds.html

3.2 Source Code ImportRDS.R.html

3. Import Data from RDS Files

4.1 Source Code ImportInternet.R.html

4. Import Data from Internet

5.1 Source Code ImportClipboard.R.html

5. Import Data from Clipboard

6.1 Source Code ExportingDataCSV.R.html

6. Exporting Data to CSV Files

7. Quiz.html

14. Data Handling using dplyr Package

1. Installing dplyr Package

2.1 Dataset murders.csv.html

2.2 Source Code dplyrselect.R.html

2. dplyr select() - Select Columns of Data Frame

3.1 Dataset murders.csv.html

3.2 Source Code dplyrfilter.R.html

3. dplyr filter() - Extract Rows from Data Frame

4.1 Dataset murders.csv.html

4.2 Source Code dplyrarrange.R.html

4. dplyr arrange() - Sort or Reorder rows of Data Frame

5.1 Dataset murders.csv.html

5.2 Source Code dplyrrename.R.html

5. dplyr rename() - Renaming Columns of Data Frame

6.1 Dataset murders.csv.html

6.2 Source Code dplyrmutate.R.html

6. dplyr mutate() - Mutate Data Frames

7.1 Dataset murders.csv.html

7.2 Source Code dplyrgroupby.R.html

7. dplyrgroup by() - Generate Summary Statistics

8.1 Dataset murders.csv.html

8.2 Source Code dplyrpipelineoperator.R.html

8. dplyr %% - Pipeline Operator

15. Data Visualization

1.1 Dataset murdersmini.csv.html

1.2 Source Code BarPlot.R.html

1. Bar Plots

2.1 Dataset murdersmini.csv.html

2.2 Source Code HorizontalBarPlots.R.html

2. Horizontal Bar Plots

3.1 Dataset GEStock.csv.html

3.2 Source Code Histogram.R.html

3. Histograms

4.1 Dataset murdersmini.csv.html

4.2 Source Code ScatterPlots.R.html

4. Scatter Plots

5.1 Dataset GEStock.csv.html

5.2 Dataset murders.csv.html

5.3 Source Code LinePlots.R.html

5. Line Plots

6.1 Dataset population.csv.html

6.2 Source Code BoxPlot.R.html

6. Box Plots

7.1 Dataset murdersmini.csv.html

7.2 Source Code StackedBarPlots.R.html

7. Stacked Bar Plots

8.1 Dataset murdersmini.csv.html

8.2 Source Code MultiplePlots.R.html

8. Multiple Plots in a Layout

16. Statistical Data Analysis

1.1 Dataset GEStock.csv.html

1.2 Dataset IBMStock.csv.html

1.3 Source Code LoadingDatasetNA.R.html

1. Exploring Stock Prices Datasets

2.1 Dataset GEStock.csv.html

2.2 Dataset IBMStock.csv.html

2.3 Source Code MinMaxRange.R.html

2. Find Highest and Lowest Stock Price and Dates

3.1 Dataset GEStock.csv.html

3.2 Dataset IBMStock.csv.html

3.3 Source Code MinMaxRange.R.html

3. Graphically Analyzing Stock Prices

4.1 Dataset GEStock.csv.html

4.2 Dataset IBMStock.csv.html

4.3 Source Code MeanMedianMode.R.html

4.4 Source Code VarianceSD.R.html

4. Analyzing Skewness of Stock Prices - Mean, Median and Standard Deviation

5.1 Dataset GEStock.csv.html

5.2 Dataset IBMStock.csv.html

5.3 Source Code VarianceSD.R.html

5. Graphically Comparing Stock Prices in same Layout

6. How to Get Certificate of Completion

45,900 تومان

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تولید کننده: Udemy