Udemy - R - Business Analytics Using R Programming

1. 01_-_Introduction/01_-_Introduction.mp418.02MB
2. 01_-_Introduction/02_-_Course_Curriculum.mp424.76MB
3. 01_-_Introduction/03_-_Discriminant_Analysis.mp413.58MB
4. 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/04_-_Introduction_to_R_and_Analytics.mp411.5MB
5. 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/05_-_Evolution_of_Business_Analytics.mp417.93MB
6. 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/06_-_Business_Example_Hotel.mp410.83MB
7. 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/07_-_Data_for_Business_Analytics.mp412.39MB
8. 03_-_Ordinal_Data_and_Decision_Models/08_-_Ordinal_Data.mp415.44MB
9. 03_-_Ordinal_Data_and_Decision_Models/09_-_Decision_Model_Example.mp411.87MB
10. 03_-_Ordinal_Data_and_Decision_Models/10_-_Descriptive_Decison_Models.mp415.58MB
11. 03_-_Ordinal_Data_and_Decision_Models/11_-_Business_Analytics_Life_Cycle.mp419.79MB
12. 03_-_Ordinal_Data_and_Decision_Models/12_-_Model_Deployment.mp413.84MB
13. 03_-_Ordinal_Data_and_Decision_Models/13_-_Steps_in_Problem_Solving_Process.mp413.56MB
14. 03_-_Ordinal_Data_and_Decision_Models/14_-_Software_Used_in_Business_Analytics.mp421.92MB
15. 04_-_Getting_Started_With_R/15_-_Getting_Started_With_R.mp432.2MB
16. 04_-_Getting_Started_With_R/16_-_installing_R_Studio.mp426.36MB
17. 04_-_Getting_Started_With_R/17_-_Basics_of_R.mp428.04MB
18. 04_-_Getting_Started_With_R/18_-_Basic_R_Functions.mp418.37MB
19. 04_-_Getting_Started_With_R/19_-_Data_Types.mp447.08MB
20. 04_-_Getting_Started_With_R/20_-_Recycling_Rule.mp421.54MB
21. 04_-_Getting_Started_With_R/21_-_Special_Numerical_Values.mp426.46MB
22. 04_-_Getting_Started_With_R/22_-_Parallel_Summary_Functions.mp416.51MB
23. 04_-_Getting_Started_With_R/23_-_Logical_Conjunctions.mp430.1MB
24. 04_-_Getting_Started_With_R/24_-_Pasting_Strings_together.mp422.84MB
25. 04_-_Getting_Started_With_R/25_-_Type_Coercion.mp428.01MB
26. 04_-_Getting_Started_With_R/26_-_Array_and_Matrix.mp419.72MB
27. 04_-_Getting_Started_With_R/27_-_Factor.mp441.93MB
28. 04_-_Getting_Started_With_R/28_-_Repository_and_Packages.mp47.15MB
29. 04_-_Getting_Started_With_R/29_-_installing_A_Package.mp445.9MB
30. 05_-_Working_with_Data/30_-_Importing_Data.mp427.59MB
31. 05_-_Working_with_Data/31_-_Importing_Data_Spss.mp439.81MB
32. 05_-_Working_with_Data/32_-_Working_With_Data.mp457.05MB
33. 05_-_Working_with_Data/33_-_Data_Aggregation.mp421.35MB
34. 05_-_Working_with_Data/34_-_Data_Manipulation_and_Statistics_Basics.mp418.35MB
35. 05_-_Working_with_Data/35_-_Merging.mp427.64MB
36. 05_-_Working_with_Data/36_-_Data_Creation.mp419.71MB
37. 05_-_Working_with_Data/37_-_Merge_Example.mp431.08MB
38. 06_-_Data_Statistics/38_-_What_is_Statistics.mp427.51MB
39. 06_-_Data_Statistics/39_-_Variables.mp425.49MB
40. 06_-_Data_Statistics/40_-_Quantiles.mp47.7MB
41. 06_-_Data_Statistics/41_-_Calculating_Variance.mp413MB
42. 06_-_Data_Statistics/42_-_Calculating_Covariance.mp413MB
43. 06_-_Data_Statistics/43_-_Cumulative_Frequency.mp412.77MB
44. 06_-_Data_Statistics/44_-_Library_Mass_.mp429.85MB
45. 06_-_Data_Statistics/45_-_Head_Faithful_.mp428.97MB
46. 06_-_Data_Statistics/46_-_Scatter_Plot.mp439.64MB
47. 06_-_Data_Statistics/47_-_Control_Flow.mp430.34MB
48. 07_-_Statistics_Probability_and_Distribution/48_-_Statistics_Probability_and_Distribution.mp46.74MB
49. 07_-_Statistics_Probability_and_Distribution/49_-_Random_Variable.mp423.89MB
50. 07_-_Statistics_Probability_and_Distribution/50_-_Random_Example.mp419.09MB
51. 07_-_Statistics_Probability_and_Distribution/51_-_Discrete_Example.mp412.95MB
52. 07_-_Statistics_Probability_and_Distribution/52_-_Practice_Problem.mp414.09MB
53. 07_-_Statistics_Probability_and_Distribution/53_-_Continuous_Case.mp415.3MB
54. 07_-_Statistics_Probability_and_Distribution/54_-_Exponential_Distribution_Practice_Problem.mp413.53MB
55. 07_-_Statistics_Probability_and_Distribution/55_-_Expected_Value.mp48.98MB
56. 07_-_Statistics_Probability_and_Distribution/56_-_Gambling_Example.mp49.57MB
57. 07_-_Statistics_Probability_and_Distribution/57_-_Deal_Or_No_Deal.mp425.28MB
58. 08_-_Distribution_Details/58_-_Distribution_Details.mp417.1MB
59. 08_-_Distribution_Details/59_-_Binomial_Distribution_Continued.mp416.49MB
60. 08_-_Distribution_Details/60_-_Expected_Value_From_Binomial.mp419.1MB
61. 08_-_Distribution_Details/61_-_Uniform_Random_Variables.mp427.71MB
62. 08_-_Distribution_Details/62_-_Probability_Distributions_Examples.mp421.62MB
63. 08_-_Distribution_Details/63_-_Probability_Distributions_Examples_Continues.mp441.71MB
64. 09_-_Business_Analytics_Using_R/64_-_Business_Analytics_Using_R.mp410.45MB
65. 09_-_Business_Analytics_Using_R/65_-_Normal_Pdf.mp415.15MB
66. 09_-_Business_Analytics_Using_R/66_-_What_is_Normal_Not_Normal.mp420.28MB
67. 09_-_Business_Analytics_Using_R/67_-_Sat_Example.mp429.17MB
68. 09_-_Business_Analytics_Using_R/68_-_Example-_Birth_Weights.mp420.07MB
69. 09_-_Business_Analytics_Using_R/69_-_Dnorm_Pnorm_Qnorm.mp434.26MB
70. 10_-_Understanding_Estimation/70_-_Understanding_Estimation.mp417.7MB
71. 10_-_Understanding_Estimation/71_-_Properties_of_Good_Estimators.mp427.36MB
72. 10_-_Understanding_Estimation/72_-_Central_Limit_theorem.mp427.97MB
73. 10_-_Understanding_Estimation/73_-_Kurtosis.mp435.32MB
74. 10_-_Understanding_Estimation/74_-_Constructing_Central_Limit_theorem.mp427.37MB
75. 10_-_Understanding_Estimation/75_-_Confidence_intervals_for_the_Mean.mp428MB
76. 10_-_Understanding_Estimation/76_-_Confidence_intervals_Examples.mp411.6MB
77. 10_-_Understanding_Estimation/77_-_Computer_Lab_Example.mp427.26MB
78. 10_-_Understanding_Estimation/78_-_T-Distribution.mp422.17MB
79. 10_-_Understanding_Estimation/79_-_T-Distribution_Continued.mp424.89MB
80. 10_-_Understanding_Estimation/80_-_R_Examples.mp441.05MB
81. 10_-_Understanding_Estimation/81_-_Standard_Error_of_the_Mean.mp425.3MB
82. 10_-_Understanding_Estimation/82_-_Downloading_the_Package.mp432.19MB
83. 10_-_Understanding_Estimation/83_-_Sample_Differences.mp438.07MB
84. 11_-_Hypothesis_Testing_and_R/84_-_Hypothesis_Generation_and_Testing.mp416.81MB
85. 11_-_Hypothesis_Testing_and_R/85_-_Hypothesis_Testing.mp421.81MB
86. 11_-_Hypothesis_Testing_and_R/86_-_One_Sided_P_Value.mp419.53MB
87. 11_-_Hypothesis_Testing_and_R/87_-_Power_and_Sample_Size.mp417.49MB
88. 11_-_Hypothesis_Testing_and_R/88_-_Efficacy_Test_for_New_Drugs.mp417.87MB
89. 11_-_Hypothesis_Testing_and_R/89_-_Testing_Hypothesis_Using_R.mp432.96MB
90. 11_-_Hypothesis_Testing_and_R/90_-_Calculating_the_Z_Value.mp428.76MB
91. 11_-_Hypothesis_Testing_and_R/91_-_Lower_Tail_Proportion_of_Population_Proportion.mp437.04MB
92. 12_-_Forecasting/92_-_forecasting.mp422.65MB
93. 12_-_Forecasting/93_-_Time_Series_Analusis_Applications.mp428.85MB
94. 12_-_Forecasting/94_-_Time_Series_Analusis_Applications_Continue.mp432.23MB
95. 12_-_Forecasting/95_-_Observation_Components.mp427.36MB
96. 12_-_Forecasting/96_-_Traditional_Approaches.mp424.87MB
97. 12_-_Forecasting/97_-_Double_Exponentional_Smoothing.mp432.58MB
98. 12_-_Forecasting/98_-_Arima_Steps.mp417.74MB
99. 12_-_Forecasting/99_-_forecasting_Performance.mp423.4MB
100. 12_-_Forecasting/100_-_Univariate_Arima.mp430.64MB
101. 13_-_R_Visualization/101_-_R_Visualization.mp432.12MB
102. 13_-_R_Visualization/102_-_Why_Visualize.mp421.56MB
103. 13_-_R_Visualization/103_-_Overlaying_Plots.mp420.83MB
104. 13_-_R_Visualization/104_-_Graphs_Representation_of_Data.mp415.89MB
105. 13_-_R_Visualization/105_-_Graphs_Representation_of_Data_Continued.mp428.86MB
106. 13_-_R_Visualization/106_-_Advanced_Graphs.mp428.75MB
107. 13_-_R_Visualization/107_-_Bubble_Charts.mp424.22MB
108. 14_-_Anova_and_Factorial_Anova/108_-_Anova.mp419.28MB
109. 14_-_Anova_and_Factorial_Anova/109_-_Concept_of_Effect.mp423.73MB
110. 14_-_Anova_and_Factorial_Anova/110_-_Estimate_of_Treatment_Effect.mp414.76MB
111. 14_-_Anova_and_Factorial_Anova/111_-_Factorial_Anova.mp418.89MB
112. 15_-_Regression_Model/112_-_Regression.mp446.42MB
113. 15_-_Regression_Model/113_-_Regression_Model.mp447.78MB
114. 15_-_Regression_Model/114_-_Linear_Relationship.mp432.56MB
115. 15_-_Regression_Model/115_-_Output_of_Regression_Model.mp426.32MB