R coding for data analysts: from beginner to advanced

سرفصل های دوره

1. Introduzione

1. Introduction

2. FAQ.html

2. First steps

1. Downloading and installing R

2. Download and installing RStudio

3. Customising an using RStudio

4. Using other IDE with R

5. Quiz 1 Using R with RStudio.html

6.1 coding-in-R-for-data-analysis.zip

6. The code.html

3. Basics of programming language

1. R pros and cons

2. Commenting the code

3. Basic math with R

4. Creating objects in R

5.1 3. exercise 1.txt

5. Exercise 1 - instructions.html

6.1 4. exercise 1 - solutions.txt

6. Exercise 1 - solutions

7. Parentheses

8. Types of variables in statistics

9. Data structures in R

10. Vector

11.1 6. exercise 2.txt

11. Exercise 2 - instructions.html

12. Exercise 2 - solutions

13. Matrix

14.1 8. exercise 3.txt

14. Exercise 3 - instructions.html

15. Exercise 3 - solutions

16. Array

17. List

18. Factors

19.1 12. exercise 4.txt

19. Exercise 4 - instructions.html

20.1 12. exercise 4 - solutions.txt

20. Exercise 4 - solutions

21. Dataframe

22.1 14. exercise 5.txt

22. Exercise 5 - instructions.html

23.1 14. exercise 5 - solutions.txt

23. Exercise 5 - solutions

24.1 help with regex.html

24. Strings

25.1 16. Esercizio 6.txt

25. Exercise 6 - instructions.html

26.1 16. Esercizio 6 - soluzioni.txt

26. Exercise 6 - solutions

27. Dates

28. Converting Data Structures

29. R and the tidyverse

30.1 20. exercise 7.txt

30. Exercise 7 - instructions.html

31.1 20. exercise 7 - solutions.txt

31. Exercise 7 - solutions

32. Relational Operators

33. Control Structures

34. Functions

35.1 23. exercise 8.txt

35. Exercise 8 - instructions.html

36.1 23. exercise 8 - solutions.txt

36. Exercise 8 - solutions

4. Setting a Working Environment

1. Setting Up a Working Directory

2. Install and Retrieve a Package

3. Package repositories

4. How to run a .R Script

5. Get help in R

6. Websites on R.html

5. Importing and exporting data in R

1. Common Data Formats and Sources for Data Analysis

2. Data import

3. .csv file

4. Excel file

5. .txt file

6. JSON file

7. Zip file

8.1 6. exercise 9.txt

8. Exercise 9 - instructions.html

9. Exercise 9 - solutions

6. Data Manipulation

1. Data Subsetting

2. The apply family

3. Data manipulation with dplyr

4. Other packages for data manipulation

5. Merging two datasets

6.1 6. exercise 10.txt

6. Exercise 10 - instructions.html

7. Exercise 10 - solutions

7. Databases

1. Database

2. The data.table Package

3.1 exercise 11.txt

3. Exercise 11 - instructions.html

4.1 exercise 11 - solutions.zip

4. Exercise 11 - solutions

8. Basics Statistics

1. Basic statistics with R

2. EDA Basics Explorative Analysis

3. Data quality

4.1 4. exercise 12 - assignment.zip

4. Exercise 12 - instructions.html

5.1 4. exercise 12 - solution.zip

5. Exercise 12 - solutions

9. Data Visualisation

1. Data Visualisation

2. Graphics with R base

3. Graphics with ggplot2

4.1 exercise 13 - instructions.zip

4. Exercise 13 - instructions.html

5.1 3. exercise 13 - solutions.txt

5. Exercise 13 - solutions

10. Publishing Analysis Results in R

1. Creating a Report with R and Markdown

2. Using Shiny

3. Creating an App with Shiny

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