Udemy - R - Business Analytics Using R Programming 收录时间:2018-03-02 20:12:58 文件大小:3GB 下载次数:140 最近下载:2020-12-28 10:02:21 磁力链接: magnet:?xt=urn:btih:dd5e4c63dfe53f9deb0cb237ca6f24cfcd649f22 立即下载 复制链接 文件列表 05_-_Working_with_Data/32_-_Working_With_Data.mp4 57MB 15_-_Regression_Model/113_-_Regression_Model.mp4 48MB 04_-_Getting_Started_With_R/19_-_Data_Types.mp4 47MB 15_-_Regression_Model/112_-_Regression.mp4 46MB 04_-_Getting_Started_With_R/29_-_installing_A_Package.mp4 46MB 04_-_Getting_Started_With_R/27_-_Factor.mp4 42MB 08_-_Distribution_Details/63_-_Probability_Distributions_Examples_Continues.mp4 42MB 10_-_Understanding_Estimation/80_-_R_Examples.mp4 41MB 05_-_Working_with_Data/31_-_Importing_Data_Spss.mp4 40MB 06_-_Data_Statistics/46_-_Scatter_Plot.mp4 40MB 10_-_Understanding_Estimation/83_-_Sample_Differences.mp4 38MB 11_-_Hypothesis_Testing_and_R/91_-_Lower_Tail_Proportion_of_Population_Proportion.mp4 37MB 10_-_Understanding_Estimation/73_-_Kurtosis.mp4 35MB 09_-_Business_Analytics_Using_R/69_-_Dnorm_Pnorm_Qnorm.mp4 34MB 11_-_Hypothesis_Testing_and_R/89_-_Testing_Hypothesis_Using_R.mp4 33MB 12_-_Forecasting/97_-_Double_Exponentional_Smoothing.mp4 33MB 15_-_Regression_Model/114_-_Linear_Relationship.mp4 33MB 12_-_Forecasting/94_-_Time_Series_Analusis_Applications_Continue.mp4 32MB 04_-_Getting_Started_With_R/15_-_Getting_Started_With_R.mp4 32MB 10_-_Understanding_Estimation/82_-_Downloading_the_Package.mp4 32MB 13_-_R_Visualization/101_-_R_Visualization.mp4 32MB 05_-_Working_with_Data/37_-_Merge_Example.mp4 31MB 12_-_Forecasting/100_-_Univariate_Arima.mp4 31MB 06_-_Data_Statistics/47_-_Control_Flow.mp4 30MB 04_-_Getting_Started_With_R/23_-_Logical_Conjunctions.mp4 30MB 06_-_Data_Statistics/44_-_Library_Mass_.mp4 30MB 09_-_Business_Analytics_Using_R/67_-_Sat_Example.mp4 29MB 06_-_Data_Statistics/45_-_Head_Faithful_.mp4 29MB 13_-_R_Visualization/105_-_Graphs_Representation_of_Data_Continued.mp4 29MB 12_-_Forecasting/93_-_Time_Series_Analusis_Applications.mp4 29MB 11_-_Hypothesis_Testing_and_R/90_-_Calculating_the_Z_Value.mp4 29MB 13_-_R_Visualization/106_-_Advanced_Graphs.mp4 29MB 04_-_Getting_Started_With_R/17_-_Basics_of_R.mp4 28MB 04_-_Getting_Started_With_R/25_-_Type_Coercion.mp4 28MB 10_-_Understanding_Estimation/75_-_Confidence_intervals_for_the_Mean.mp4 28MB 10_-_Understanding_Estimation/72_-_Central_Limit_theorem.mp4 28MB 08_-_Distribution_Details/61_-_Uniform_Random_Variables.mp4 28MB 05_-_Working_with_Data/35_-_Merging.mp4 28MB 05_-_Working_with_Data/30_-_Importing_Data.mp4 28MB 06_-_Data_Statistics/38_-_What_is_Statistics.mp4 28MB 10_-_Understanding_Estimation/74_-_Constructing_Central_Limit_theorem.mp4 27MB 12_-_Forecasting/95_-_Observation_Components.mp4 27MB 10_-_Understanding_Estimation/71_-_Properties_of_Good_Estimators.mp4 27MB 10_-_Understanding_Estimation/77_-_Computer_Lab_Example.mp4 27MB 04_-_Getting_Started_With_R/21_-_Special_Numerical_Values.mp4 26MB 04_-_Getting_Started_With_R/16_-_installing_R_Studio.mp4 26MB 15_-_Regression_Model/115_-_Output_of_Regression_Model.mp4 26MB 06_-_Data_Statistics/39_-_Variables.mp4 25MB 10_-_Understanding_Estimation/81_-_Standard_Error_of_the_Mean.mp4 25MB 07_-_Statistics_Probability_and_Distribution/57_-_Deal_Or_No_Deal.mp4 25MB 10_-_Understanding_Estimation/79_-_T-Distribution_Continued.mp4 25MB 12_-_Forecasting/96_-_Traditional_Approaches.mp4 25MB 01_-_Introduction/02_-_Course_Curriculum.mp4 25MB 13_-_R_Visualization/107_-_Bubble_Charts.mp4 24MB 07_-_Statistics_Probability_and_Distribution/49_-_Random_Variable.mp4 24MB 14_-_Anova_and_Factorial_Anova/109_-_Concept_of_Effect.mp4 24MB 12_-_Forecasting/99_-_forecasting_Performance.mp4 23MB 04_-_Getting_Started_With_R/24_-_Pasting_Strings_together.mp4 23MB 12_-_Forecasting/92_-_forecasting.mp4 23MB 10_-_Understanding_Estimation/78_-_T-Distribution.mp4 22MB 03_-_Ordinal_Data_and_Decision_Models/14_-_Software_Used_in_Business_Analytics.mp4 22MB 11_-_Hypothesis_Testing_and_R/85_-_Hypothesis_Testing.mp4 22MB 08_-_Distribution_Details/62_-_Probability_Distributions_Examples.mp4 22MB 13_-_R_Visualization/102_-_Why_Visualize.mp4 22MB 04_-_Getting_Started_With_R/20_-_Recycling_Rule.mp4 22MB 05_-_Working_with_Data/33_-_Data_Aggregation.mp4 21MB 13_-_R_Visualization/103_-_Overlaying_Plots.mp4 21MB 09_-_Business_Analytics_Using_R/66_-_What_is_Normal_Not_Normal.mp4 20MB 09_-_Business_Analytics_Using_R/68_-_Example-_Birth_Weights.mp4 20MB 03_-_Ordinal_Data_and_Decision_Models/11_-_Business_Analytics_Life_Cycle.mp4 20MB 04_-_Getting_Started_With_R/26_-_Array_and_Matrix.mp4 20MB 05_-_Working_with_Data/36_-_Data_Creation.mp4 20MB 11_-_Hypothesis_Testing_and_R/86_-_One_Sided_P_Value.mp4 20MB 14_-_Anova_and_Factorial_Anova/108_-_Anova.mp4 19MB 08_-_Distribution_Details/60_-_Expected_Value_From_Binomial.mp4 19MB 07_-_Statistics_Probability_and_Distribution/50_-_Random_Example.mp4 19MB 14_-_Anova_and_Factorial_Anova/111_-_Factorial_Anova.mp4 19MB 04_-_Getting_Started_With_R/18_-_Basic_R_Functions.mp4 18MB 05_-_Working_with_Data/34_-_Data_Manipulation_and_Statistics_Basics.mp4 18MB 01_-_Introduction/01_-_Introduction.mp4 18MB 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/05_-_Evolution_of_Business_Analytics.mp4 18MB 11_-_Hypothesis_Testing_and_R/88_-_Efficacy_Test_for_New_Drugs.mp4 18MB 12_-_Forecasting/98_-_Arima_Steps.mp4 18MB 10_-_Understanding_Estimation/70_-_Understanding_Estimation.mp4 18MB 11_-_Hypothesis_Testing_and_R/87_-_Power_and_Sample_Size.mp4 17MB 08_-_Distribution_Details/58_-_Distribution_Details.mp4 17MB 11_-_Hypothesis_Testing_and_R/84_-_Hypothesis_Generation_and_Testing.mp4 17MB 04_-_Getting_Started_With_R/22_-_Parallel_Summary_Functions.mp4 17MB 08_-_Distribution_Details/59_-_Binomial_Distribution_Continued.mp4 16MB 13_-_R_Visualization/104_-_Graphs_Representation_of_Data.mp4 16MB 03_-_Ordinal_Data_and_Decision_Models/10_-_Descriptive_Decison_Models.mp4 16MB 03_-_Ordinal_Data_and_Decision_Models/08_-_Ordinal_Data.mp4 15MB 07_-_Statistics_Probability_and_Distribution/53_-_Continuous_Case.mp4 15MB 09_-_Business_Analytics_Using_R/65_-_Normal_Pdf.mp4 15MB 14_-_Anova_and_Factorial_Anova/110_-_Estimate_of_Treatment_Effect.mp4 15MB 07_-_Statistics_Probability_and_Distribution/52_-_Practice_Problem.mp4 14MB 03_-_Ordinal_Data_and_Decision_Models/12_-_Model_Deployment.mp4 14MB 01_-_Introduction/03_-_Discriminant_Analysis.mp4 14MB 03_-_Ordinal_Data_and_Decision_Models/13_-_Steps_in_Problem_Solving_Process.mp4 14MB 07_-_Statistics_Probability_and_Distribution/54_-_Exponential_Distribution_Practice_Problem.mp4 14MB 06_-_Data_Statistics/41_-_Calculating_Variance.mp4 13MB 06_-_Data_Statistics/42_-_Calculating_Covariance.mp4 13MB 07_-_Statistics_Probability_and_Distribution/51_-_Discrete_Example.mp4 13MB 06_-_Data_Statistics/43_-_Cumulative_Frequency.mp4 13MB 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/07_-_Data_for_Business_Analytics.mp4 12MB 03_-_Ordinal_Data_and_Decision_Models/09_-_Decision_Model_Example.mp4 12MB 10_-_Understanding_Estimation/76_-_Confidence_intervals_Examples.mp4 12MB 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/04_-_Introduction_to_R_and_Analytics.mp4 12MB 02_-_Basic_Concepts_on_R_Programming_and_Business_Analytic/06_-_Business_Example_Hotel.mp4 11MB 09_-_Business_Analytics_Using_R/64_-_Business_Analytics_Using_R.mp4 10MB 07_-_Statistics_Probability_and_Distribution/56_-_Gambling_Example.mp4 10MB 07_-_Statistics_Probability_and_Distribution/55_-_Expected_Value.mp4 9MB 06_-_Data_Statistics/40_-_Quantiles.mp4 8MB 04_-_Getting_Started_With_R/28_-_Repository_and_Packages.mp4 7MB 07_-_Statistics_Probability_and_Distribution/48_-_Statistics_Probability_and_Distribution.mp4 7MB