365 Data Science - Introduction to R Programming [CoursesGhar]

1. 8. Manipulating data/1. Intro.mp4 108.20 MB
2. 4. Vectors and vector operations/1. Intro.mp4 90.11 MB
3. 11. Hypothesis Testing/1. Distributions.mp4 82.66 MB
4. 2. Getting started/1. Intro.mp4 76.77 MB
5. 9. Visualizing data/1. Intro.mp4 74.63 MB
6. 9. Visualizing data/8. Building a scatterplot with ggplot2.mp4 67.45 MB
7. 8. Manipulating data/6. Tidying your data - gather() and separate().mp4 64.89 MB
8. 2. Getting started/5. Installing packages and using the library.mp4 57.54 MB
9. 3. The building blocks of R/7. Building a function in R.mp4 51.34 MB
10. 9. Visualizing data/5. Building a histogram with ggplot2.mp4 50.96 MB
11. 9. Visualizing data/3. Intro to ggplot2.mp4 50.65 MB
12. 4. Vectors and vector operations/5. Getting help with R.mp4 50.64 MB
13. 5. Matrices/6. Matrix arithmetic.mp4 48.14 MB
14. 10. Exploratory data analysis/5. Covariance and correlation.mp4 45.60 MB
15. 2. Getting started/3. Quick guide to the RStudio user interface.mp4 43.78 MB
16. 5. Matrices/9. Creating a factor in R.mp4 43.14 MB
17. 9. Visualizing data/7. Building a box and whiskers plot with ggplot2.mp4 42.42 MB
18. 4. Vectors and vector operations/6. Slicing and indexing a vector.mp4 41.07 MB
19. 12. Linear Regression Analysis/1. The Linear Regression Model.mp4 40.87 MB
20. 11. Hypothesis Testing/2. Standard Error and Confidence Intervals.mp4 40.68 MB
21. 9. Visualizing data/6. Building a bar chart with ggplot2.mp4 40.05 MB
22. 11. Hypothesis Testing/8. Comparing Two Means. Dependent Samples.mp4 39.26 MB
23. 5. Matrices/1. Creating a matrix.mp4 38.88 MB
24. 7. Data frames/1. Creating a data frame.mp4 38.81 MB
25. 11. Hypothesis Testing/5. Test for the Mean. Population Variance Known.mp4 38.76 MB
26. 8. Manipulating data/2. Data transformation with R - the Dplyr package - Part I.mp4 38.60 MB
27. 12. Linear Regression Analysis/5. How to Interpret the Regression Table.mp4 37.28 MB
28. 6. Fundamentals Of Programming With R/6. For Loops in R.mp4 36.51 MB
29. 10. Exploratory data analysis/4. Variance, standard deviation, and coefficient of variability.mp4 34.55 MB
30. 7. Data frames/8. Extending a data frame in R.mp4 34.49 MB
31. 7. Data frames/9. Dealing with missing data.mp4 34.46 MB
32. 5. Matrices/7. Matrix operations.mp4 33.88 MB
33. 11. Hypothesis Testing/7. Test for the Mean. Population Variance Unknown.mp4 33.87 MB
34. 10. Exploratory data analysis/2. Mean, median, mode.mp4 33.71 MB
35. 7. Data frames/7. Indexing and slicing a data frame in R.mp4 33.23 MB
36. 5. Matrices/10. Lists in R.mp4 32.84 MB
37. 12. Linear Regression Analysis/7. R-Squared.mp4 31.92 MB
38. 6. Fundamentals Of Programming With R/10. Scoping in R _ Building a Function in R 2.0 (Ctnd).mp4 31.83 MB
39. 11. Hypothesis Testing/6. The P Value.mp4 31.42 MB
40. 6. Fundamentals Of Programming With R/4. If, Else, Else-If Statements.mp4 31.25 MB
41. 5. Matrices/4. Indexing an element from a matrix.mp4 30.94 MB
42. 3. The building blocks of R/1. Creating an object in R.mp4 30.60 MB
43. 4. Vectors and vector operations/7. Changing the dimensions of an object in R.mp4 29.88 MB
44. 9. Visualizing data/4. Variables - revisited.mp4 29.45 MB
45. 11. Hypothesis Testing/9. Comparing Two Means. Independent Samples.mp4 29.38 MB
46. 7. Data frames/2. The Tidyverse package.mp4 28.60 MB
47. 2. Getting started/2. Downloading and installing R _ RStudio.mp4 28.59 MB
48. 7. Data frames/6. Getting a sense of your data frame.mp4 28.06 MB
49. 7. Data frames/4. Importing a CSV in R.mp4 27.71 MB
50. 3. The building blocks of R/2. Data types in R - Integers and doubles.mp4 27.37 MB