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- 【影视】 Math Tutor DVD - Mastering Statistics, Volume 1-5
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收录时间:2017-02-09
文档个数:98
文档大小:5.0 GB
最近下载:2025-05-14
人气:7195
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Math Tutor DVD - Mastering Statistics, Volume 1/Section 1- Introduction to Statistics.FLV 36.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 10- Population Mean and Sample mean.FLV 52.4 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 11- Calculating Means.FLV 51.2 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 12- Median and Mode.FLV 42.8 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 13- Range of Data.FLV 32.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 14- Population and Sample Variance.FLV 54.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 15- Calculating Variance.FLV 52.4 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 16- Population and Sample Standard Deviation.FLV 41.2 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 17- Calculating Standard Deviation.FLV 49.7 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 18- Coefficient of Variation.FLV 32.0 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 19- Standard Deviation of Frequency Data.FLV 77.5 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 2- Populations and Samples.FLV 71.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 20- Empirical Rule of Standard Deviation.FLV 72.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 21- Empirical Rule Problems.FLV 41.5 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 22- Chebyshev’s Theorem.FLV 44.2 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 23- Chebyshev’s Theorem_2.FLV 44.2 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 24- Box and Whisker Plots.FLV 82.2 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 25- Standard Score (z-Score).FLV 62.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 3- Descriptive Vs. Inferential Statistics.FLV 37.9 MB
Math Tutor DVD - Mastering Statistics, Volume 1/Section 4- Applying Definitions in Statistics.FLV 31.5 MB
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- 【影视】 TTC - Meaning From Data - Statistics Made Clear
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文档个数:26
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人气:11275
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Introduction.avi 20.9 MB
L01 - Describing Data and Inferring Meaning.avi 156.9 MB
L02 - Data and Distributions - Getting the Picture.avi 157.2 MB
L03 - Inference - How Close - How Confident.avi 157.2 MB
L04 - Describing Dispersion or Measuring Spread.avi 157.2 MB
L05 - Models of Distributions - Shapely Families.avi 157.2 MB
L06 - The Bell Curve.avi 157.2 MB
L07 - Correlation and Regression - Moving Together.avi 157.2 MB
L08 - Probability - Workhorse for Inference.avi 157.0 MB
L09 - Samples - The Few, The Chosen.avi 157.2 MB
L10 - Hypothesis Testing - Innocent Until.avi 157.2 MB
L11 - Confidence Intervals - How Close - How Sure.avi 157.2 MB
L12 - Design of Experiments - Thinking Ahead.avi 157.2 MB
L13 - Law - You're the Jury.avi 157.2 MB
L14 - Democracy and Arrow's Impossibility Theorem.avi 157.2 MB
L15 - Election Problems and Engine Failure.avi 157.2 MB
L16 - Sports - Who's the Best of All Time.avi 157.2 MB
L17 - Risk - War and Insurance.avi 157.2 MB
L18 - Real Estate - Accounting for Value.avi 157.2 MB
L19 - Misleading, Distorting, and Lying.avi 157.2 MB
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- 【影视】 Lynda - Statistics with Excel Part One UPDATED
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00. Introduction/422098_00_01_WX30_welcome.mp4 6.4 MB
00. Introduction/422098_00_02_XR15_exfiles.mp4 1.2 MB
01. Excel Statistics Essentials/422098_01_02_XR15_statfunctions_2016Q2.mp4 15.6 MB
01. Excel Statistics Essentials/422098_01_01_XR15_excelfunctions_2016Q2.mp4 13.4 MB
01. Excel Statistics Essentials/422098_01_03_XR15_excelgraphics_2016Q2.mp4 11.9 MB
01. Excel Statistics Essentials/422098_01_04_XR15_anaysistool_2016Q2.mp4 6.4 MB
02. Understanding Data/422098_02_01_XR15_datatypes_2016Q2.mp4 11.6 MB
02. Understanding Data/422098_02_02_XR15_variables_2016Q2.mp4 2.5 MB
03. Probability/422098_03_03_XR15_count_2016Q2.mp4 27.9 MB
03. Probability/422098_03_02_XR15_calcprob_2016Q2.mp4 19.0 MB
03. Probability/422098_03_05_XR15_baysian_2016Q2.mp4 8.9 MB
03. Probability/422098_03_04_XR15_conditional_2016Q2.mp4 6.0 MB
03. Probability/422098_03_01_XR15_probdefinitions_2016Q2.mp4 5.7 MB
04. Central Tendency/422098_04_01_XR15_mean_2016Q2.mp4 7.8 MB
04. Central Tendency/422098_04_03_XR15_mode_2016Q2.mp4 7.4 MB
04. Central Tendency/422098_04_02_XR15_median_2016Q2.mp4 7.2 MB
05. Variability/422098_05_01_XR15_varience_2016Q2.mp4 15.1 MB
05. Variability/422098_05_02_XR15_standarddev_2016Q2.mp4 8.0 MB
06. Distributions/422098_06_04_XR15_propdist_2016Q2.mp4 16.6 MB
06. Distributions/422098_06_02_XR15_organizingdistribution_2016Q2.mp4 13.6 MB
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- 【影视】 Introduction-to-Statistics-Fall-2009 Online Course Video Lectures - UCBerkeley
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Lecture 1/53b5e25e-1afa-49ff-b2fd-55407d3c8e80_opencast_video_itunes-wcb.mp4 201.2 MB
Lecture 10/Lecture 10 - More Probability/c923b7f6-c191-411b-8a4f-54a33915c08e_opencast_video_itunes-wcb.mp4 201.4 MB
Lecture 11/Lecture 11 - More Probability/c411441e-5841-40a7-a70e-2e5de8a20e40_opencast_video_itunes-wcb.mp4 201.3 MB
Lecture 12/Lecture 12 - Review/14439a18-5151-417e-89c6-cc4a9a039c7f_opencast_video_itunes-wcb.mp4 221.3 MB
Lecture 13/Lecture 13 - Law Avg, Box Models/1a880e0d-054e-45e7-8538-fbc05627eb5c_opencast_video_itunes-wcb.mp4 199.2 MB
Lecture 14/Lecture 14 - Law Avg, Box Models/f60f8876-085b-40d9-ba64-1def262c63bc_opencast_video_itunes-wcb.mp4 218.4 MB
Lecture 15/dfc27722-e69a-407b-8496-fe311c6b4354_opencast_video_itunes-wcb.mp4 218.1 MB
Lecture 16/62c7379e-b40b-4d4e-aa82-64482f3a15dd_opencast_video_itunes-wcb.mp4 219.1 MB
Lecture 17/2403ac89-216a-4589-ad9d-81f97cfb1c05_opencast_video_itunes-wcb.mp4 223.0 MB
Lecture 18/66e0670c-ce9f-425e-814e-fbb392460ca1_opencast_video_itunes-wcb.mp4 216.3 MB
Lecture 19/10f8273b-6162-4566-bff3-c914fe0a74a5_opencast_video_itunes-wcb.mp4 217.7 MB
Lecture 2/Lecture 2 - Avg, Median, SD/3520463a-196a-4df1-b2e6-3fcd430b7901_opencast_video_itunes-wcb.mp4 218.4 MB
Lecture 20/9806c509-7ecb-4b35-b0c8-eeba91e690ce_opencast_video_itunes-wcb.mp4 211.0 MB
Lecture 21/ee02fd09-5516-4dd5-b593-1d811ece4b1b_opencast_video_itunes-wcb.mp4 218.5 MB
Lecture 22/761636b5-4c8d-4366-965a-793d387619cd_opencast_video_itunes-wcb.mp4 224.8 MB
Lecture 23/11030c78-75ca-4e7a-9a6a-dc9569dd6b0e_opencast_video_itunes-wcb.mp4 214.3 MB
Lecture 24/f6281294-095d-4e55-a03e-ff3a7b298d9d_opencast_video_itunes-wcb.mp4 214.4 MB
Lecture 25/20a48b73-9d1f-495e-8f00-7db777e3b45a_opencast_video_itunes-wcb.mp4 211.3 MB
Lecture 26/Lecture 26 - More HT/0600407f-fc28-4ee7-8517-1da9208a2d2c_opencast_video_itunes-wcb.mp4 194.7 MB
Lecture 27/e40b4814-24b0-4575-9cfd-3e71fa594720_opencast_video_itunes-wcb.mp4 211.7 MB
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- 【影视】 statistics-21-001-spring2010-ucberkeley
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Statistics 21 - Lecture 1-CWrgEjXGzfg.mp4 184.5 MB
Statistics 21 - Lecture 10-C_0sf_7FJOE.mp4 218.3 MB
Statistics 21 - Lecture 11-go17KaydjEI.mp4 184.9 MB
Statistics 21 - Lecture 12-3BsYkImyvqM.mp4 218.4 MB
Statistics 21 - Lecture 13-7q37dX7AOao.mp4 321.7 MB
Statistics 21 - Lecture 14-jn1IAf9E944.mp4 216.8 MB
Statistics 21 - Lecture 16-vnfTylbNsvY.mp4 213.7 MB
Statistics 21 - Lecture 17-LQuFywHWn9k.mp4 207.5 MB
Statistics 21 - Lecture 18-rf5dMP0mTxE.mp4 212.3 MB
Statistics 21 - Lecture 2-AeGe63a3hGI.mp4 205.5 MB
Statistics 21 - Lecture 21-E1llJX3I2pM.mp4 205.8 MB
Statistics 21 - Lecture 22-pXDTaJCjMPM.mp4 209.7 MB
Statistics 21 - Lecture 23-NPnspIk8EtQ.mp4 211.0 MB
Statistics 21 - Lecture 24-gZIb9rJkfpQ.mp4 218.5 MB
Statistics 21 - Lecture 25-PqxOdwiRTEU.mp4 205.0 MB
Statistics 21 - Lecture 26-TF9PoxQdKUY.mp4 333.2 MB
Statistics 21 - Lecture 27-aJvwnAZEtek.mp4 295.4 MB
Statistics 21 - Lecture 28-UVZdCSJiBFg.mp4 207.3 MB
Statistics 21 - Lecture 3-dOWVfOBI2Gw.mp4 212.6 MB
Statistics 21 - Lecture 4-BJbp_9uerAY.mp4 218.5 MB
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- 【影视】 master-statistics-and-machine-learning-intuition-math-code
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06 Descriptive statistics/039 Code_ data from different distributions.ia.mp4 318.3 MB
06 Descriptive statistics/039 Code_ data from different distributions.mp4 318.3 MB
16 Clustering and dimension-reduction/193 Code_ dbscan.ia.mp4 302.7 MB
16 Clustering and dimension-reduction/193 Code_ dbscan.mp4 302.7 MB
12 Correlation/140 Code_ correlation matrix.ia.mp4 296.5 MB
12 Correlation/140 Code_ correlation matrix.mp4 296.5 MB
06 Descriptive statistics/047 Code_ Computing dispersion.ia.mp4 279.5 MB
06 Descriptive statistics/047 Code_ Computing dispersion.mp4 279.5 MB
10 The t-test family/126 Code_ permutation testing.ia.mp4 253.0 MB
10 The t-test family/126 Code_ permutation testing.mp4 253.0 MB
16 Clustering and dimension-reduction/189 Code_ k-means clustering.ia.mp4 241.9 MB
16 Clustering and dimension-reduction/189 Code_ k-means clustering.mp4 241.9 MB
12 Correlation/137 Code_ correlation coefficient.ia.mp4 225.1 MB
12 Correlation/137 Code_ correlation coefficient.mp4 225.1 MB
10 The t-test family/119 Code_ Two-samples t-test.ia.mp4 221.9 MB
10 The t-test family/119 Code_ Two-samples t-test.mp4 221.9 MB
12 Correlation/152 Code_ Kendall correlation.ia.mp4 193.4 MB
12 Correlation/152 Code_ Kendall correlation.mp4 193.4 MB
13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).ia.mp4 181.3 MB
13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).mp4 181.3 MB
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- 【影视】 TTC - Meaning from Data - Statistics Made Clear
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收录时间:2017-02-19
文档个数:28
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人气:1155
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Introduction.avi 20.9 MB
L01 - Describing Data and Inferring Meaning.avi 156.9 MB
L02 - Data and Distributions - Getting the Picture.avi 157.2 MB
L03 - Inference - How Close - How Confident.avi 157.2 MB
L04 - Describing Dispersion or Measuring Spread.avi 157.2 MB
L05 - Models of Distributions - Shapely Families.avi 157.2 MB
L06 - The Bell Curve.avi 157.2 MB
L07 - Correlation and Regression - Moving Together.avi 157.2 MB
L08 - Probability - Workhorse for Inference.avi 157.0 MB
L09 - Samples - The Few, The Chosen.avi 157.2 MB
L10 - Hypothesis Testing - Innocent Until.avi 157.2 MB
L11 - Confidence Intervals - How Close - How Sure.avi 157.2 MB
L12 - Design of Experiments - Thinking Ahead.avi 157.2 MB
L13 - Law - You're the Jury.avi 157.2 MB
L14 - Democracy and Arrow's Impossibility Theorem.avi 157.2 MB
L15 - Election Problems and Engine Failure.avi 157.2 MB
L16 - Sports - Who's the Best of All Time.avi 157.2 MB
L17 - Risk - War and Insurance.avi 157.2 MB
L18 - Real Estate - Accounting for Value.avi 157.2 MB
L19 - Misleading, Distorting, and Lying.avi 157.2 MB
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- 【影视】 [FreeTutorials.Us] Udemy - spss-statistics-foundation-course-from-scratch-to-advanced
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01 Introduction/001 Introduction_ Know Your Instrutor.mp4 23.6 MB
01 Introduction/001 Introduction_ Know Your Instrutor-subtitle-en.vtt 6.3 kB
02 Downloading and Installing SPSS/002 Downloading and Installing IBM SPSS Statistics 24 on Windows.mp4 51.3 MB
02 Downloading and Installing SPSS/002 Downloading and Installing IBM SPSS Statistics 24 on Windows-subtitle-en.vtt 12.6 kB
02 Downloading and Installing SPSS/003 Downloading SPSS Grad Pack_ Student Version.mp4 10.5 MB
02 Downloading and Installing SPSS/003 Downloading SPSS Grad Pack_ Student Version-subtitle-en.vtt 1.7 kB
03 Conceptual Foundation of Statistics/004 Statistics_ Definition and Types.mp4 9.5 MB
03 Conceptual Foundation of Statistics/004 Statistics_ Definition and Types-subtitle-en.vtt 4.6 kB
03 Conceptual Foundation of Statistics/005 Parametric vs Non-Parametric Statistics_ Assumptions.mp4 22.3 MB
03 Conceptual Foundation of Statistics/005 Parametric vs Non-Parametric Statistics_ Assumptions-subtitle-en.vtt 15.4 kB
04 Data Entry_ Learning to Enter Data in SPSS/006 Conceptualizing Variables_ IV_ DV_ Control_ Moderators & Mediating Variables.mp4 15.8 MB
04 Data Entry_ Learning to Enter Data in SPSS/006 Conceptualizing Variables_ IV_ DV_ Control_ Moderators & Mediating Variables-subtitle-en.vtt 10.7 kB
04 Data Entry_ Learning to Enter Data in SPSS/007 Variable Type Numeric_ Defining Names_ Width_ Decimal & Labels for variables.mp4 20.4 MB
04 Data Entry_ Learning to Enter Data in SPSS/007 Variable Type Numeric_ Defining Names_ Width_ Decimal & Labels for variables-subtitle-en.vtt 8.5 kB
04 Data Entry_ Learning to Enter Data in SPSS/008 Variable Type_ Comma & Dot.mp4 24.2 MB
04 Data Entry_ Learning to Enter Data in SPSS/008 Variable Type_ Comma & Dot-subtitle-en.vtt 7.2 kB
04 Data Entry_ Learning to Enter Data in SPSS/009 Variable Type_ Scientific Notation.mp4 10.7 MB
04 Data Entry_ Learning to Enter Data in SPSS/009 Variable Type_ Scientific Notation-subtitle-en.vtt 3.2 kB
04 Data Entry_ Learning to Enter Data in SPSS/010 Variable Type_ Date and Time Stamps.mp4 12.8 MB
04 Data Entry_ Learning to Enter Data in SPSS/010 Variable Type_ Date and Time Stamps-subtitle-en.vtt 3.7 kB
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- 【影视】 Statistics with R - Advanced Level
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02 Mean Difference Tests/003 Within-Subjects ANOVA.mp4 95.7 MB
02 Mean Difference Tests/001 The Analysis of Covariance.mp4 54.3 MB
02 Mean Difference Tests/002 ANCOVA - Checking Assumptions.mp4 32.8 MB
01 Introduction/001 Introduction.mp4 95.4 MB
02 Mean Difference Tests/004 Within-Subjects ANOVA - Paired Comparisons.mp4 30.5 MB
02 Mean Difference Tests/005 Within-Within Subjects ANOVA.mp4 77.7 MB
02 Mean Difference Tests/006 Within-Within Subjects ANOVA - Main Effects 1.mp4 57.8 MB
02 Mean Difference Tests/007 Within-Within Subjects ANOVA - Main Effects 2.mp4 52.7 MB
02 Mean Difference Tests/008 Mixed ANOVA.mp4 94.9 MB
02 Mean Difference Tests/009 Mixed ANOVA - Main Effects.mp4 55.5 MB
02 Mean Difference Tests/010 Friedman Test.mp4 11.5 MB
03 Predictive Techniques/001 Binomial Regression.mp4 74.3 MB
03 Predictive Techniques/002 Binomial Regression - Goodness-of-Fit Measures.mp4 18.5 MB
03 Predictive Techniques/003 Multinomial Regression Basics.mp4 49.2 MB
03 Predictive Techniques/004 Multinomial Regression - Interpreting the Coefficients.mp4 51.9 MB
03 Predictive Techniques/005 Multinomial Regression - Goodness-of-Fit Measures.mp4 23.1 MB
03 Predictive Techniques/006 Ordinal Regression.mp4 66.7 MB
03 Predictive Techniques/007 Ordinal Regression - Interpreting the Coefficients.mp4 25.6 MB
03 Predictive Techniques/008 Ordinal regression - Goodness-of-Fit Measures.mp4 23.6 MB
03 Predictive Techniques/009 Ordinal Regression - Assumption of Proportional Odds.mp4 9.6 MB
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~Get Your Files Here !/04 Test Of Hypothesis/001 Test Of Hypothesis.mp4 107.5 MB
~Get Your Files Here !/02 Dealing With Missing Data/001 Missing Data Imputation - Lecture 1.mp4 74.2 MB
~Get Your Files Here !/01 Basic Statistics/008 Basic Statistics And Visualizing Data With Python.mp4 73.8 MB
~Get Your Files Here !/07 Introduction To Big Data/003 Big Data Perspective And Volume.mp4 67.9 MB
~Get Your Files Here !/01 Basic Statistics/002 Types Of Variables And Scales.mp4 56.2 MB
~Get Your Files Here !/05 ANOVA/002 Benefits And Practical Usage Of ANOVA.mp4 48.5 MB
~Get Your Files Here !/03 Statistical Inference/001 Point Estimation.mp4 47.7 MB
~Get Your Files Here !/06 Contingency Tables/001 Contingency Table - Lecture 1.mp4 45.2 MB
~Get Your Files Here !/09 Fundamentals Of HDFS/002 HDFS Benefits.mp4 42.8 MB
~Get Your Files Here !/04 Test Of Hypothesis/004 Test Of Normality - Lecture 3.mp4 40.5 MB
~Get Your Files Here !/08 Fundamentals Of Hadoop/002 Hadoop Architecture.mp4 40.2 MB
~Get Your Files Here !/06 Contingency Tables/002 Contingency Table - Lecture 2.mp4 38.8 MB
~Get Your Files Here !/03 Statistical Inference/002 Characteristics of a Good Point Estimator.mp4 37.2 MB
~Get Your Files Here !/01 Basic Statistics/003 Describing Data.mp4 35.8 MB
~Get Your Files Here !/01 Basic Statistics/001 Statistics And Its Applications.mp4 35.5 MB
~Get Your Files Here !/05 ANOVA/004 Two-way ANOVA.mp4 35.0 MB
~Get Your Files Here !/02 Dealing With Missing Data/002 Missing Data Imputation - Lecture 2.mp4 34.4 MB
~Get Your Files Here !/05 ANOVA/003 One-way ANOVA.mp4 32.2 MB
~Get Your Files Here !/07 Introduction To Big Data/001 Overview Of Big Data.mp4 32.1 MB
~Get Your Files Here !/01 Basic Statistics/006 Skewness And kurtosis.mp4 31.8 MB
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0.Introduction/01.Welcome.en.srt 1.9 kB
0.Introduction/01.Welcome.mp4 7.2 MB
0.Introduction/02.What you need to know.en.srt 1.5 kB
0.Introduction/02.What you need to know.mp4 1.3 MB
0.Introduction/03.Using the exercise files.en.srt 1.4 kB
0.Introduction/03.Using the exercise files.mp4 3.1 MB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.en.srt 5.1 kB
1.1. Installation and Setup/04.Install Anaconda Python on OS X.mp4 8.5 MB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.en.srt 4.3 kB
1.1. Installation and Setup/05.Install Anaconda Python on Windows.mp4 10.8 MB
1.1. Installation and Setup/06.Working with Jupyter Notebook.en.srt 3.6 kB
1.1. Installation and Setup/06.Working with Jupyter Notebook.mp4 6.8 MB
1.1. Installation and Setup/07.Using Python in the cloud.en.srt 3.4 kB
1.1. Installation and Setup/07.Using Python in the cloud.mp4 9.2 MB
2.2. Importing and Cleaning Data/08.The structure of data.en.srt 2.8 kB
2.2. Importing and Cleaning Data/08.The structure of data.mp4 3.2 MB
2.2. Importing and Cleaning Data/09.Create tidy data tables.en.srt 7.2 kB
2.2. Importing and Cleaning Data/09.Create tidy data tables.mp4 11.7 MB
2.2. Importing and Cleaning Data/10.Introducing pandas.en.srt 8.5 kB
2.2. Importing and Cleaning Data/10.Introducing pandas.mp4 19.8 MB
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- 【影视】 MATH 202_ Introduction to Statistics - i
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Chapter 10 - Hypothesis Testing (Par 1.m4v 45.5 MB
Chapter 10 - Hypothesis Testing (Par.m4v 30.8 MB
Section 1.1 - Introduction to the Pr.m4v 22.2 MB
Section 1.1 - Introduction to the Pr.mov 16.4 MB
Section 1.2 - Observational Studies,.m4v 8.6 MB
Section 1.3 - Other Methods of Sampl.m4v 24.8 MB
Section 1.4 - Sources of Error in Sa.m4v 26.6 MB
Section 11.1 - Inference About Two M.m4v 24.8 MB
Section 11.2 - Inference About Two M.m4v 16.4 MB
Section 2.1 - Organizing Qualitative.mov 16.0 MB
Section 2.2 - Organizing Quantitativ.mov 39.6 MB
Section 3.1 - Measures of Central Te.mov 27.7 MB
Section 3.2 - Measures of Dispersion.mov 42.5 MB
Section 3.3 - Mean and Standard Devi.m4v 20.6 MB
Section 3.3 - Measures of Central Te.mov 14.3 MB
Section 3.4 - Measures of Position.mov 28.5 MB
Section 3.5 - The Five Number Summar.mov 11.6 MB
Section 4.1 - Scatter Diagrams and C.m4v 25.0 MB
Section 4.2 - Least-Squares Regressi.m4v 32.6 MB
Section 4.3 - Diagnostics on the Lea.m4v 25.4 MB
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5. Practical example descriptive statistics/1. Practical example.mp4 168.3 MB
17. Practical example regression analysis/1. Practical example regression analysis.mp4 135.6 MB
10. Hypothesis testing Introduction/4. Establishing a rejection region and a significance level.mp4 118.2 MB
9. Practical example inferential statistics/1. Practical example inferential statistics.mp4 107.6 MB
10. Hypothesis testing Introduction/1. The null and the alternative hypothesis.mp4 96.6 MB
7. Estimators and estimates/5. Calculating confidence intervals within a population with a known variance.mp4 82.0 MB
3. The fundamentals of descriptive statistics/1. The various types of data we can work with.mp4 76.1 MB
8. Confidence intervals advanced topics/1. Calculating confidence intervals for two means with dependent samples.mp4 73.9 MB
12. Practical example hypothesis testing/1. Practical example hypothesis testing.mp4 72.7 MB
1. Introduction/1. What does the course cover.mp4 72.0 MB
6. Distributions/9. Understanding the central limit theorem.mp4 66.0 MB
6. Distributions/2. What is a distribution.mp4 64.6 MB
7. Estimators and estimates/12. What is a margin of error and why is it important in Statistics.mp4 62.1 MB
2. Sample or population data/1. Understanding the difference between a population and a sample.mp4 60.9 MB
7. Estimators and estimates/7. Confidence interval clarifications.mp4 59.9 MB
11. Hypothesis testing Let's start testing!/3. What is the p-value and why is it one of the most useful tools for statisticians.mp4 58.6 MB
3. The fundamentals of descriptive statistics/3. Levels of measurement.mp4 57.0 MB
11. Hypothesis testing Let's start testing!/1. Test for the mean. Population variance known.mp4 56.9 MB
13. The fundamentals of regression analysis/5. The linear regression model made easy.mp4 53.5 MB
4. Measures of central tendency, asymmetry, and variability/6. Measuring how data is spread out calculating variance.mp4 53.4 MB
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Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 112.9 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/01_basic-definitions.mp4 109.1 MB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/02_full-conditional-distributions-of-model-parameters.mp4 107.7 MB
Coursera - Bayesian Statistics Mixture Models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/01_em-for-general-mixtures.mp4 103.1 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/03_classification/01_mixture-models-and-naive-bayes-classifiers.mp4 95.8 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/01_definition-and-state-space-representation.mp4 83.7 MB
Coursera - Bayesian Statistics Time Series Analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/01_filtering.mp4 73.9 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/02_examples.mp4 72.2 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/01_fourier-representation.mp4 66.1 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/05_parameter-identifiability.mp4 63.2 MB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/04_model-formulation.mp4 62.9 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/01_density-estimation/01_density-estimation-using-mixture-models.mp4 61.0 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/04_the-likelihood-function.mp4 59.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/05_data-analysis-example-in-excel.mp4 54.5 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/02_demonstration.mp4 51.2 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/01_eeg-data.mp4 49.3 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/02_google-trends.mp4 48.6 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/03_8-anova/01_introduction-to-anova.mp4 47.8 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/05_lesson-5-4-posterior-intervals.mp4 46.9 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/04_poisson-data/01_lesson-8-1-poisson-data.mp4 46.3 MB
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~Get Your Files Here !/1. Describing and analysing data/1. Descriptive statistics and data visualization.mp4 256.1 MB
~Get Your Files Here !/7. Statistical analysis (an example)/1. A data analysis example.mp4 239.2 MB
~Get Your Files Here !/3. Introduction to R/2. R example analysis.mp4 235.2 MB
~Get Your Files Here !/1. Describing and analysing data/2. Inferential statistics and hypothesis testing.mp4 211.7 MB
~Get Your Files Here !/5. Import data and install packages/1. Import data and installing packages.mp4 105.9 MB
~Get Your Files Here !/4. Install R and R Studio (and an introduction to R Studio)/1. How to download and install R and R studio.mp4 83.2 MB
~Get Your Files Here !/2. Research methods/3. Case control vs. cohort studies.mp4 75.9 MB
~Get Your Files Here !/1. Describing and analysing data/3. Non-parametric tests.mp4 74.2 MB
~Get Your Files Here !/5. Import data and install packages/2. Import data from excel.mp4 72.1 MB
~Get Your Files Here !/1. Describing and analysing data/4. Missing Data.mp4 70.9 MB
~Get Your Files Here !/6. Data manipulation/6. Dealing with missing data.mp4 70.9 MB
~Get Your Files Here !/3. Introduction to R/1. Why use R.mp4 66.2 MB
~Get Your Files Here !/2. Research methods/4. Randomised controlled trials and confounding.mp4 65.6 MB
~Get Your Files Here !/6. Data manipulation/5. Advanced filtering and subsetting your data.mp4 61.5 MB
~Get Your Files Here !/6. Data manipulation/2. Data manipulation using Tidyverse.mp4 60.9 MB
~Get Your Files Here !/2. Research methods/2. An overview of quantitative and qualitative methods.mp4 59.5 MB
~Get Your Files Here !/6. Data manipulation/1. Types of data in R.mp4 58.3 MB
~Get Your Files Here !/6. Data manipulation/4. Recoding data.mp4 49.9 MB
~Get Your Files Here !/6. Data manipulation/3. Selecting and arranging your variables.mp4 23.5 MB
~Get Your Files Here !/2. Research methods/1. Research methods - Intro.mp4 18.1 MB
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02 - 1. Loading and Cleaning Data/03 - Cleaning numbers.mp4 43.7 MB
02 - 1. Loading and Cleaning Data/02 - Strings and categories.mp4 37.4 MB
03 - 2. Exploring and Visualizing/04 - Correlations.mp4 27.3 MB
03 - 2. Exploring and Visualizing/06 - Visualizing categorical and numerical values.mp4 26.9 MB
04 - 3. Linear Regressions/04 - Regression with XGBoost.mp4 20.9 MB
03 - 2. Exploring and Visualizing/03 - Outliers and Z-scores.mp4 20.3 MB
04 - 3. Linear Regressions/03 - Standardizing values.mp4 19.9 MB
04 - 3. Linear Regressions/01 - Linear regression.mp4 17.6 MB
03 - 2. Exploring and Visualizing/05 - Scatter plots.mp4 16.2 MB
02 - 1. Loading and Cleaning Data/06 - Solution Clean Ames.mp4 15.8 MB
02 - 1. Loading and Cleaning Data/04 - Shrinking numbers.mp4 15.3 MB
03 - 2. Exploring and Visualizing/07 - Comparing two categoricals.mp4 14.2 MB
02 - 1. Loading and Cleaning Data/01 - Loading data.mp4 14.0 MB
05 - 4. Hypothesis Tests/03 - Running statistical tests.mp4 13.4 MB
05 - 4. Hypothesis Tests/02 - Visualizing distributions.mp4 13.2 MB
04 - 3. Linear Regressions/02 - Interpreting linear regression models.mp4 10.7 MB
05 - 4. Hypothesis Tests/04 - Testing for normality.mp4 10.1 MB
05 - 4. Hypothesis Tests/06 - Solution Checking square footage distributions.mp4 9.7 MB
04 - 3. Linear Regressions/06 - Solution Predict Ames.mp4 9.2 MB
03 - 2. Exploring and Visualizing/02 - Histograms and distributions.mp4 8.4 MB
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1.Get Started with Practical Regression Analysis in R/01.INTRODUCTION TO THE COURSE - The Key Concepts and Software Tools.mp4 121.2 MB
7.Working with Non-Parametric and Non-Linear Data/55.ML Model Selection.mp4 107.1 MB
6.Generalized Linear Models (GLMs)/45.Goodness of fit testing.mp4 91.4 MB
1.Get Started with Practical Regression Analysis in R/02.Difference Between Statistical Analysis & Machine Learning.mp4 75.6 MB
1.Get Started with Practical Regression Analysis in R/07.Basic Exploratory Data Analysis in R.mp4 58.3 MB
1.Get Started with Practical Regression Analysis in R/04.Reading in Data with R.mp4 52.2 MB
1.Get Started with Practical Regression Analysis in R/05.Data Cleaning with R.mp4 47.0 MB
6.Generalized Linear Models (GLMs)/41.Logistic regression.mp4 46.6 MB
7.Working with Non-Parametric and Non-Linear Data/48.Generalized Additive Models (GAMs) in R.mp4 41.9 MB
4.Variable & Model Selection/32.Evaluate Regression Model Performance.mp4 41.6 MB
4.Variable & Model Selection/29.Select the Most Suitable OLS Regression Model.mp4 40.7 MB
6.Generalized Linear Models (GLMs)/42.Logistic Regression for Binary Response Variable.mp4 33.2 MB
2.Ordinary Least Square Regression Modelling/18.Multiple Linear regression with Interaction and Dummy Variables.mp4 31.7 MB
3.Deal with Multicollinearity in OLS Regression Models/23.Principal Component Regression in R.mp4 31.0 MB
1.Get Started with Practical Regression Analysis in R/06.Some More Data Cleaning with R.mp4 30.4 MB
3.Deal with Multicollinearity in OLS Regression Models/21.Identify Multicollinearity.mp4 30.1 MB
7.Working with Non-Parametric and Non-Linear Data/51.CART-Regression Trees in R.mp4 29.7 MB
Exercise Files/code_9781838987862.zip 29.3 MB
2.Ordinary Least Square Regression Modelling/09.OLS Regression- Theory.mp4 29.1 MB
2.Ordinary Least Square Regression Modelling/19.Some Basic Conditions that OLS Models Have to Fulfill.mp4 28.9 MB
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[TutsNode.com] - Statistics Fundamentals and its Applications/8. Ogives OR Cumulative Frequency Curves/1. Ogives and Its Uses to find out the Partion Values Graphically.mp4 100.2 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/5. Harmonic Mean/1. Calculation & Application of Harmonic Mean.mp4 51.8 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/6. Theorems.mp4 49.0 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/3. Median/3. Median Case 3.mp4 41.5 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/7. Partition Values/1. Quartiles.mp4 41.0 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/13. Skewness/1. Skewness.mp4 40.0 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/7. Partition Values/2. Numerical Set on Quartiles.mp4 37.7 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/5. Effect of Change of Origin & Scale on AM.mp4 34.6 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/3. Median/2. Median Case 2.mp4 34.5 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/10. Measures of Dispersion/3. Example on Mean & Standard Deviation.mp4 34.1 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/3. Arithmetic Mean.mp4 33.3 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/12. Moments/1. Moments.mp4 28.4 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/3. Median/4. Numerical Set on Median.mp4 27.9 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/2. Geometric Mean & it's Applications/2. Geometric Mean Case 2.mp4 26.2 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/2. Geometric Mean & it's Applications/3. Geometric Mean for Combined Series.mp4 24.2 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/7. Partition Values/4. Deciles.mp4 23.8 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/9. Dispersion/1. Need and Definition of Dispersion.mp4 23.6 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/1. Introduction/4. Arithmetic Mean Numerical.mp4 22.5 MB
[TutsNode.com] - Statistics Fundamentals and its Applications/10. Measures of Dispersion/2. Standard Deviation & Variance.mp4 22.5 MB
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9. Statistics for Three or More Variables/3.Conducting a cluster analysis.mp4 48.9 MB
1. Getting Started/8.Converting tabular data to row data.mp4 41.5 MB
1. Getting Started/4.Installing and managing packages.mp4 40.3 MB
9. Statistics for Three or More Variables/4.Conducting a principal componentsfactor analysis.mp4 35.8 MB
1. Getting Started/9.Working with color in R.mp4 33.2 MB
9. Statistics for Three or More Variables/1.Computing a multiple regression.mp4 32.1 MB
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7. Statistics for Associations/5.Comparing means with a one-factor analysis of variance (ANOVA).mp4 27.4 MB
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2. Charts for One Variable/2.Creating pie charts for categorical variables.mp4 22.6 MB
2. Charts for One Variable/5.Overlaying plots.mp4 22.5 MB
1. Getting Started/10.Exploring color with Colorbrewer.mp4 22.1 MB
8. Charts for Three or More Variables/3.Creating scatter plot matrices.mp4 20.4 MB
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3. Central Limit Theorem/8. Hands-On CLT - Analytics Challenge.mp4 189.6 MB
5. Advanced Hypothesis Testing/6. Warning about misuse and overuse of p-values.mp4 55.2 MB
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2. Distributions/10. Homework Solution - Part 1.mp4 54.0 MB
2. Distributions/11. Homework Solution - Part 2.mp4 52.4 MB
5. Advanced Hypothesis Testing/3. T-Tests.mp4 51.9 MB
2. Distributions/2. Updates on Udemy Reviews.mp4 51.3 MB
3. Central Limit Theorem/10. Homework Solution.mp4 45.9 MB
4. Hypothesis Testing Statistical Significance/6. Proportion Testing.mp4 41.6 MB
5. Advanced Hypothesis Testing/5. 2-Tailed Test Exercise.mp4 40.2 MB
4. Hypothesis Testing Statistical Significance/2. Hypothesis Testing - Steps.mp4 38.0 MB
6. Vitaly Dolgov's Guest Section/6. Trends in Analytics - Part 2.mp4 36.0 MB
5. Advanced Hypothesis Testing/1. What it means when you cannot reject the Null Hypothesis.mp4 34.9 MB
4. Hypothesis Testing Statistical Significance/8. Homework Solution.mp4 33.4 MB
5. Advanced Hypothesis Testing/7. Real Life Example.mp4 31.9 MB
2. Distributions/4. What is a Distribution.mp4 27.6 MB
4. Hypothesis Testing Statistical Significance/4. Hypothesis Testing - Rejection Region.mp4 25.9 MB
3. Central Limit Theorem/7. Z-Score.mp4 25.8 MB
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