R Language for Data Science: from Zero to Advanced in 6 hrs | Isaias Lira | Skillshare

# R Language for Data Science: from Zero to Advanced in 6 hrs

#### Isaias Lira, Data Science and Specialist in Statistic

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58 Lessons (6h 11m)
• 1. Abertura R

6:23
• 2. Lecture 1 Course overview

3:43
• 3. Lecture 2 Some Advantages of Using R

6:49
• 4. Lecture 3 Installing the R

2:17
• 5. Lecture 4 Installing the RStudio

8:52
• 6. Lecture 5 Citing the R and some demonstrations

4:43
• 7. Lecture 6 R as calculator

5:17
• 8. Lecture 7 Introduction to objects

1:16
• 9. Lecture 8 Vector Creation

8:49
• 10. Lecture 9 Accessing and modifying the Vector (part 1)

6:57
• 11. Lecture 10 Accessing and modifying the Vector (part 2)

3:50
• 12. Lecture 11 Vector Operations (part 1)

7:28
• 13. Lecture 12 Vector Operations (part 2)

8:57
• 14. Lecture 13 Creating Sequences

4:02
• 15. Lecture 14 Sequences using Repetitions (part 1)

6:00
• 16. Lecture 15 Sequences using Repetitions (part 2)

1:53
• 17. Lecture 16 Sequences using Random Samples

9:08
• 18. Lecture 17 Creation of matrices (part 1)

4:12
• 19. Lecture 18 Creation of matrices (part 2)

1:28
• 20. Lecture 19 Matrices using the command matrix ()

5:41
• 21. Lecture 20 Accessing matrix elements

6:51
• 22. Lecture 21 Modifying Matrix Elements (Part 1)

6:35
• 23. Lecture 22 Modifying Matrix Elements (part 2)

1:37
• 24. Lecture 23 Matrix Operations

6:33
• 25. Lecture 24 Matrix Curiosities (part 1)

9:56
• 26. Lecture 25 Matrix Curiosities (part 2)

4:19
• 27. Lecture 26 Creating Arrays (part 1)

4:28
• 28. Lecture 27 Creating Arrays (part 2)

6:07
• 29. Lecture 28 Creating Arrays (part 3)

9:10
• 30. Lecture 29 Accessing Array Elements (Part 1)

6:32
• 31. Lecture 30 Accessing Array Elements (part 2)

4:33
• 32. Lecture 31 Modifying Array Elements

4:54
• 33. Lecture 32 Operations with Arrays (part 1)

9:06
• 34. Lecture 33 Operations with Arrays (part 2)

4:39
• 35. Lecture 34 Operations with Arrays (part 3)

9:54
• 36. Lecture 35 Creation of Factors

10:59
• 37. Lecture 36 Creating Lists

16:26
• 38. Lecture 37 Accessing List Information

8:40
• 39. Lecture 38 Modifying List Items

6:41
• 40. Lecture 39 Adding and Removing List Items

4:24
• 41. Lecture 40 Combining Lists

3:52
• 42. Lecture 41 Creating a DataFrame

7:01
• 43. Lecture 42 Accessing Dataframe Elements

6:01
• 44. Lecture 43 Modifying Dataframe Elements

4:29
• 45. Lecture 44 Adding and Removing Variables in the DataFrame

4:53
• 46. Lecture 45 Adding and Removing Cases in the DataFrame

8:19
• 47. Lecture 46 Logical Operators in R

9:54
• 48. Lecture 47 Loops using for ()

11:04
• 49. Lecture 48 Loops using while()

9:01
• 50. Lecture 49 Decision Making in R

7:49
• 51. Criando funĆ§Ćµes

5:38
• 52. Project (part 1)

6:27
• 53. Project (part 2)

5:14
• 54. Project (part 3)

3:23
• 55. Project (part 4)

10:31
• 56. Project (part 5)

2:56
• 57. Project (part 6)

6:36
• 58. R para ETL parte 1

7:25