Data Analytics using R programming

سرفصل های دوره

Data analytics, R programming

1. Introduction

1. Introduction.html

2. Prerequisites.html

2. Data Analytics

1. What is Data

2. Importance of Data

3. Type of Data - Categorical

4. Type of Data - Numerical

5. Analytics and Analysis

6. Data Analytics

7. Data Analysis

8. Classification of Data Analytics

9.1 1. Data Analytics Introduction.pptx

9. Process

3. Intro to R and R studio

1. Introduction to R

2. Benefits of R

4. R and R studio installation in Ubuntu

1. install R in Ubuntu GUI

2. install R in Ubuntu terminal

3. R studio GUI overview

4. How to create and run R file in GUI

5. How to save and run R file in Terminal

6. Rdata and Rhistory

5. R programming Basics

1. Variable in R

2. DataTypes in R

3. Print vs Cat function in R

4. ls,rm function in R

5. Rules to create variable in R

6. Special keywords in R

7. Different datatypes in R

8. Vectorization in R

9. Implicit Cohesion

10.1 first pro.zip

10. ls function in detail

6. Operators in R

1. Operators in R

2. Arithmetic Operators

3. Relational Operators

4. Logical Operators

5. Miscellaneous Operators

6.1 opr in r.zip

6. R basics summary

7. Control structures in R

1. Conditional statement - if, else, else if

2.1 conditional statement.pptx

2. Conditional statement - switch

3. Lab exercise.html

8. Looping Statement in R

1. For

2. While

3.1 r control structures.zip

3. Repeat

9. String Handling in R

1.1 Missing Value, Vector in R.pptx

1. getting user input and explicit cohersion

2. getting user input part 2

3. logical check for string - grepl and grep

4. print vs cat vs paste method

5.1 string handling.zip

5. String methods - toupper, tolower, substr, format

10. Vector operation in R

1. Indexing in vector

2. Indexing in vector - part 2

3. Built-in operation in R

4. Repeat operation in R

5. Lab exercise.html

6. Lab solution - part 1

7. Lab solution - part 2

11. Functions in R

1. Intro to Function in R

2. Built-in function - seq, seq along

3. Built-in function - seq len

4. Built-in function rnorm

5. law of large number

6. Built-in function rnorm - part 2

7. Built-in function - runif

8.1 functions.zip

8. Built-in function - sample

9. Lab exercise.html

10. Lab solution - part 1

11. Lab solution - part 2

12. Lab solution - part 3

12. User defined function in R

1. User defined function - part 1

2. User defined function - part 2

3. User defined function - part 3

4. User defined function - part 4

5. User defined function - part 5

6. User defined function - part 6

7. User defined function - part 7

8.1 functions cont.zip

8. User defined function - part 8

9. Lab exercise.html

13. Vectorization in R

1. Vectorized Approach

2.1 Vector.pptx

2.2 vectorized fun.zip

2. Vectorized Function

14. Data Structure in R

1. Introduction to Data Structure

2. List - Part 1

3. List - Part 2

4. List summary

5.1 list.pptx

5.2 list.zip

5. Manipulating List

6.1 List.pptx

6.2 list.zip

6. Converting List to Vector

7.1 matrix.pptx

7. Matrix - Part 1

8. Matrix - Part 2

9. Matrix - Part 3

10. Matrix - Part 4

11.1 matrix.zip

11. Matrix - Part 5

12. Lab exercise.html

13. Date - Part 1

14.1 date.zip

14. Date - Part 2

15. Factor - Part 1

16. Factor - Part 2

17.1 factor.zip

17. Factor - Part 3

18. Array - Part 1

19. Array - Part 2

20. Array - Part 3

21.1 array.zip

21. Array - Part 4

22. Lab Exercise.html

23. DataFrame - Part 1

24. DataFrame - Part 2

25. DataFrame - Part 3

26. DataFrame - Part 4

27. DataFrame - Part 5

28. DataFrame - Part 6

29.1 DataFrame.pdf

29.2 dataframe.zip

29. DataFrame - Summary

30. Lab exercise.html

15. Data Manipulation

1. Data Manipulation - Part 1

2. Data Manipulation - Part 2

3. Data Manipulation - Part 3

4.1 data manipulation.zip

4. Data Manipulation - Part 4

16. R Package

1. R Package - Part 1

2.1 packages.zip

2. R Package - Part 2

17. apply functions in R

1. apply function - part 1

2. apply function - part 2

3. apply function - part 3

4. lapply function - part 1

5. lapply function - part 2

6. sapply function - part 1

7. sapply function - part 2

8. tapply function

9.1 apply function.zip

9. summary

18. Data Reshaping

1.1 data reshaping.zip

1.2 NYC temperature data.csv

1. Data Reshaping introduction

2. Aggregating - Part 1

3. Aggregating - Part 2

4. sorting

5. mergining - inner join

6. types of joins

7. left, right and full join

8. Lab exercise.html

19. Data visualization

1. Data visualization - part 1

2. Data visualization - part 2

3. scatter plot using base R

4. scatter plot using ggplot - part 1

5. scatter plot using ggplot - part 2

6. Summary

7. Line plot using base R

8. Line plot using ggplot - part 1

9.1 line plot.zip

9. Line plot using ggplot - part2

10. Histogram using base R

11.1 histogram plot.zip

11. Histogram uisng ggplot

12. Bar plot using base R - part 1

13. Bar plot using base R - part 2

14.1 bar plot.zip

14. Bar plot using ggplot

15. Box plot using Base R

16.1 box plot.zip

16. Box plot using ggplot

20. Working with Excel file

1. Introduction to working with excel file

2. Data cleaning - part 1

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