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 funções

      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