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| | | 01_01_seriesMotivation.pdf | 1.92 MB |
| | | 01_01a_toolBoxOverview.pdf | 2.03 MB |
| | | 01_02_gettingHelp.pdf | 923.59 KB |
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| | | 01_04_RProgramming.pdf | 542.02 KB |
| | | 01_05_gettingData.pdf | 462.36 KB |
| | | 01_06_exploratoryAnalysis.pdf | 382.06 KB |
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| | | 01_08_statisticalInference.pdf | 435.98 KB |
| | | 01_09_regressionModels.pdf | 605.63 KB |
| | | 02_03_commandLineInterface.pdf | 2.58 MB |
| | | 02_04_git.pdf | 1.49 MB |
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| | | 02_10_rtools.pdf | 1.8 MB |
| | | 2 - 2 - Command Line Interface (16_04).mp4 | 12.37 MB |
| | | 2 - 2 - Command Line Interface (16_04).srt | 23.46 KB |
| | | 03_01_typesOfQuestions.pdf | 2.24 MB |
| | | 03_02_whatIsData.pdf | 1.71 MB |
| | | 03_03_whatAboutBigData.pdf | 2.03 MB |
| | | 03_04_experimentalDesign.pdf | 3.72 MB |
| | | 3 - 1 - Types of Questions (9_09).mp4 | 7.67 MB |
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| | | 3 - 2 - What is Data_ (5_15).mp4 | 4.68 MB |
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| | | 1 - 1 - Installing R on Windows.mp4 | 5.14 MB |
| | | 1 - 1 - Installing R on Windows.srt | 5.72 KB |
| | | 1 - 1 - Installing R on Windows.txt | 3.51 KB |
| | | 1 - 2 - Installing R on a Mac.mp4 | 4.02 MB |
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| | | 1 - 3 - Installing R Studio (Mac).mp4 | 2.61 MB |
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| | | 1 - 6 - Use R version 3.1.1.mp4 | 2.51 MB |
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| | | 2 - 1 - Introduction.mp4 | 4.09 MB |
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| | | 2 - 2 - Overview and History of R [1607].mp4 | 11.59 MB |
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| | | 2 - 3 - Getting Help [1353].mp4 | 9.16 MB |
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| | | 2 - 4 - R Console Input and Evaluation [446].mp4 | 5.34 MB |
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| | | 2 - 5 - Data Types - R Objects and Attributes [443].mp4 | 5.39 MB |
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| | | 2 - 6 - Data Types - Vectors and Lists [627].mp4 | 7.17 MB |
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| | | 2 - 7 - Data Types - Matrices [324].mp4 | 3.75 MB |
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| | | 2 - 9 - Data Types - Missing Values [210].mp4 | 2.42 MB |
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| | | 2 - 11 - Data Types - Names Attribute [149].mp4 | 1.98 MB |
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| | | 3 - 1 - Control Structures - Introduction [054].mp4 | 1.08 MB |
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| | | 3 - 1 - Control Structures - Introduction [054].txt | 906 bytes |
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| | | 3 - 5 - Control Structures - Repeat, Next, Break [457].mp4 | 5.46 MB |
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| | | 3 - 6 - Your First R Function [1029].mp4 | 16.48 MB |
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| | | 3 - 7 - Functions (part 1) [917].mp4 | 6.46 MB |
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| | | 3 - 8 - Functions (part 2) [713].mp4 | 4.86 MB |
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| | | 3 - 9 - Scoping Rules - Symbol Binding [1032].mp4 | 7.6 MB |
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| | | 3 - 10 - Scoping Rules - R Scoping Rules [834].mp4 | 5.7 MB |
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| | | 3 - 11 - Scoping Rules - Optimization Example (OPTIONAL) [921].mp4 | 6.35 MB |
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| | | 4 - 1 - Loop Functions - lapply [923].mp4 | 6.1 MB |
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| | | 4 - 2 - Loop Functions - apply [721].mp4 | 4.96 MB |
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| | | 4 - 3 - Loop Functions - mapply [446].mp4 | 3.21 MB |
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| | | 4 - 4 - Loop Functions - tapply [317].mp4 | 2.17 MB |
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| | | 4 - 5 - Loop Functions - split [909].mp4 | 6.16 MB |
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| | | 4 - 6 - Debugging Tools - Diagnosing the Problem [1233].mp4 | 8.37 MB |
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| | | 4 - 7 - Debugging Tools - Basic Tools [625].mp4 | 4.92 MB |
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| | | 4 - 8 - Debugging Tools - Using the Tools [821].mp4 | 5.37 MB |
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| | | 5 - 1 - The str Function [608].mp4 | 5.78 MB |
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| | | 5 - 2 - Simulation - Generating Random Numbers [747].mp4 | 5.34 MB |
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| | | 5 - 3 - Simulation - Simulating a Linear Model [431].mp4 | 5.18 MB |
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| | | 5 - 4 - Simulation - Random Sampling [237].mp4 | 2.99 MB |
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| | | 5 - 5 - R Profiler (part 1) [1039].mp4 | 9.17 MB |
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| | | 5 - 6 - R Profiler (part 2) [1026].mp4 | 11.23 MB |
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| | | Lectures.html | 126.33 KB |
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| | | 01_01_obtainingDataMotivation.html | 7.24 KB |
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| | | 1 - 1 - Obtaining Data Motivation (538).mp4 | 4.98 MB |
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| | | 01_02_rawAndProcessedData.html | 7.29 KB |
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| | | 1 - 2 - Raw and Processed Data (707).mp4 | 5.95 MB |
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| | | 01_03_componentsOfTidyData.html | 8.12 KB |
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| | | 1 - 3 - Components of Tidy Data (925).mp4 | 7.57 MB |
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| | | 01_04_downLoadingFiles.html | 7.49 KB |
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| | | 1 - 4 - Downloading Files (709).mp4 | 5.9 MB |
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| | | 1 - 5 - Reading Local Files (455).mp4 | 4.39 MB |
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| | | 1 - 6 - Reading Excel Files (355).mp4 | 3.46 MB |
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| | | 1 - 7 - Reading XML (1239).mp4 | 11.51 MB |
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| | | 01_09_dataTable.html | 15.29 KB |
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| | | 1 - 9 - The data.table Package (1118).mp4 | 8.89 MB |
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| | | getting-started.html | 26.09 KB |
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| | | 2 - 1 - Reading from MySQL (1444).mp4 | 12.23 MB |
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| | | 3 - 3 - Creating New Variables (1032).mp4 | 8.5 MB |
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| | | 3 - 5 - Managing Data Frames with dplyr - Introduction.mp4 | 4.7 MB |
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| | | 1 - 1 - Installing R on Windows.mp4 | 1.94 MB |
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| | | 1 - 6 - Use R version 3.1.1.mp4 | 2.39 MB |
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| | | 2 - 2 - Principles of Analytic Graphics [1211].mp4 | 10.79 MB |
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| | | 4 - 9 - Working with Color in R Plots (part 1) [408].mp4 | 2.97 MB |
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| | | 5 - 2 - Air Pollution Case Study [4035].mp4 | 72.01 MB |
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| | | 1 - 1 - Introduction.mp4 | 5.86 MB |
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| | | 1 - 3 - Reproducible Research Concepts and Ideas (part 1) [711].mp4 | 10.08 MB |
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| | | 1 - 6 - Scripting Your Analysis [436].mp4 | 10.2 MB |
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| | | 1 - 7 - Structure of a Data Analysis (part 1) [1229].mp4 | 14.9 MB |
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| | | 1 - 9 - Organizing Your Analysis [1105].mp4 | 14.12 MB |
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| | | datasciencespecialization.github.io_courses_05_ReproducibleResearch_organizingADataAnalysis.html | 9.19 KB |
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| | | 2 - 1 - Coding Standards in R [859].mp4 | 18.91 MB |
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| | | 2 - 2 - Markdown [515].mp4 | 7.25 MB |
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| | | 2 - 9 - Introduction to Peer Assessment 1.mp4 | 8.43 MB |
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| | | 3 - 1 - Communicating Results [654].mp4 | 8.2 MB |
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| | | 3 - 6 - Evidence-based Data Analysis (part 1) [351].mp4 | 4.54 MB |
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| | | 3 - 10 - Evidence-based Data Analysis (part 5) [756].mp4 | 9.34 MB |
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| | | 3 - 11 - Introduction to Peer Assessment 2.mp4 | 1.06 MB |
| | | 3 - 11 - Introduction to Peer Assessment 2.srt | 858 bytes |
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| | | 4 - 1 - Caching Computations [1116].mp4 | 16.5 MB |
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| | | 4 - 2 - Case Study Air Pollution [1412].mp4 | 20.91 MB |
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| | | 4 - 3 - Case Study High Throughput Biology [3051].mp4 | 50.56 MB |
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| | | 4 - 4 - Commentaries on Data Analysis.mp4 | 6.8 MB |
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| | | 1 - 1 - 01 01 Introduction (705).mp4 | 14.04 MB |
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| | | 1 - 2 - Brief note on new materials.mp4 | 1.06 MB |
| | | 1 - 3 - 02 01 Introduction to probability (613).mp4 | 9.14 MB |
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| | | 1 - 3 - 02 01 Introduction to probability (613).txt | 6.26 KB |
| | | 1 - 4 - 02 02 Probability mass functions (714).mp4 | 10.48 MB |
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| | | 1 - 5 - 02 03 Probability density functions (1327).mp4 | 17.92 MB |
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| | | 1 - 6 - 03 01 Conditional Probability (323).mp4 | 6.14 MB |
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| | | 1 - 7 - 03 02 Bayes rule (752).mp4 | 12.81 MB |
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| | | 1 - 8 - 03 03 Independence (304).mp4 | 5.26 MB |
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| | | 1 - 9 - 04 01 Expected values (514).mp4 | 8.02 MB |
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| | | 1 - 10 - 04 02 Expected values, simple examples (212).mp4 | 3.33 MB |
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| | | 1 - 11 - 04 03 Expected values for PDFs (746).mp4 | 10.89 MB |
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| | | 2 - 1 - 05 01 Introduction to variability (457).mp4 | 7.26 MB |
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| | | 2 - 2 - 05 02 Variance simulation examples (246).mp4 | 3.21 MB |
| | | 2 - 2 - 05 02 Variance simulation examples (246).srt | 4.12 KB |
| | | 2 - 2 - 05 02 Variance simulation examples (246).txt | 2.61 KB |
| | | 2 - 3 - 05 03 Standard error of the mean (712).mp4 | 12.05 MB |
| | | 2 - 3 - 05 03 Standard error of the mean (712).srt | 10.94 KB |
| | | 2 - 3 - 05 03 Standard error of the mean (712).txt | 6.74 KB |
| | | 2 - 4 - 05 04 Variance data example (333).mp4 | 5.63 MB |
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| | | 2 - 5 - 06 01 Binomial distrubtion (302).mp4 | 5.15 MB |
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| | | 2 - 6 - 06 02 Normal distribution (1512).mp4 | 23.39 MB |
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| | | 2 - 7 - 06 03 Poisson (608).mp4 | 9.04 MB |
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| | | 2 - 8 - 07 01 Asymptotics and LLN (428).mp4 | 6.93 MB |
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| | | 2 - 9 - 07 02 Asymptotics and the CLT (827).mp4 | 12.56 MB |
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| | | 2 - 10 - 07 03 Asymptotics and confidence intervals (2010).mp4 | 31.14 MB |
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| | | 3 - 1 - 08 01 T confidence intervals (912).mp4 | 11.77 MB |
| | | 3 - 2 - 08 02 T confidence intervals example (406).mp4 | 5.11 MB |
| | | 3 - 3 - 08 03 Independent group T intervals (1436).mp4 | 21.08 MB |
| | | 3 - 4 - 08 04 A note on unequal variance (329).mp4 | 4.82 MB |
| | | 3 - 5 - 09 01 Hypothesis testing (417).mp4 | 6.62 MB |
| | | 3 - 6 - 09 02 Example of choosing a rejection region (512).mp4 | 7.63 MB |
| | | 3 - 7 - 09 03 T tests (704).mp4 | 8.72 MB |
| | | 3 - 8 - 09 04 Two group testing (1754).mp4 | 22.37 MB |
| | | 3 - 9 - 10 01 Pvalues (750).mp4 | 12.91 MB |
| | | 3 - 10 - 10 02 Pvalue further examples (554).mp4 | 9.24 MB |
| | | 4 - 1 - 11 01 Power (454).mp4 | 7.98 MB |
| | | 4 - 2 - 11 02 Calculating Power (1251).mp4 | 17.83 MB |
| | | 4 - 3 - 11 03 Notes on power (457).mp4 | 7.03 MB |
| | | 4 - 4 - 11 04 T test power (802).mp4 | 11.62 MB |
| | | 4 - 5 - 12 Multiple Comparisons (2522).mp4 | 30.53 MB |
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| | | index.pdf | 631.86 KB |
| | | 4 - 6 - 13 01 Bootstrapping (710).mp4 | 9.52 MB |
| | | 4 - 7 - 13 02 Bootstrapping example (329).mp4 | 5.52 MB |
| | | 4 - 8 - 13 03 Notes on the bootstrap (1020).mp4 | 13.39 MB |
| | | 4 - 9 - 13 04 Permutation tests (907).mp4 | 11.03 MB |
| | | 9 - 1 - Just enough knitr to do the project.mp4 | 6.17 MB |
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| | | 10 - 1 - Homework 1.mp4 | 27.64 MB |
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| | | 1 - 1 - 01_01_a Introduction to regression (410).mp4 | 5.54 MB |
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| | | 1 - 2 - 01_01_b Basic least squares (541).mp4 | 7.15 MB |
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| | | 1 - 5 - 01_02_a Basic Notation and Background (326).mp4 | 4.31 MB |
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| | | 1 - 7 - 01_03_a Linear Least Squares (601).mp4 | 7.29 MB |
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| | | 1 - 10 - 01_04_a Regression to the Mean (346).mp4 | 5.04 MB |
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| | | 2 - 1 - 01_05_a Statistical Linear Regression Models (558).mp4 | 7.41 MB |
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| | | 2 - 7 - 01_07_a Inference in Regression (128).mp4 | 1.76 MB |
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| | | 2 - 10 - 02_01_a Multivariate Regression (247).mp4 | 3.68 MB |
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| | | 3 - 11 - 02_05_a Some thoughts on model selection (638).mp4 | 9.13 MB |
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| | | 7 - 1 - Really, really quick intro to knitr.mp4 | 6.17 MB |
| | | 8 - 1 - 01_01 Introduction and Least Squares.mp4 | 41.34 MB |
| | | 8 - 2 - 01_02 Basic notation.mp4 | 13.27 MB |
| | | 8 - 3 - 01_03 Least Squares.mp4 | 38.66 MB |
| | | 8 - 4 - 01_04 Regression to the Mean.mp4 | 19.88 MB |
| | | 8 - 5 - 01_05 Statistical linear regression models.mp4 | 28.77 MB |
| | | 8 - 6 - 02_01 Multivariate statistical models.mp4 | 53.51 MB |
| | | 8 - 7 - 02_02 Multivariate examples.mp4 | 97.95 MB |
| | | index.html | 38.94 KB |
| | | Lectures.html | 129.17 KB |
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| | | 001predictionMotivation.pdf | 2.14 MB |
| | | 1 - 1 - Prediction motivation (826).mp4 | 10.49 MB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_001predictionMotivation.html | 9.3 KB |
| | | 002whatIsPrediction.pdf | 1.81 MB |
| | | 1 - 2 - What is prediction (839).mp4 | 10.98 MB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_002whatIsPrediction.html | 13.96 KB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_003relativeImportance.html | 8.55 KB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_004inOutSampleErrors.html | 8.53 KB |
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| | | 006typesOfErrors.pdf | 1.68 MB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_006typesOfErrors.html | 10.64 KB |
| | | 007receiverOperatingCharacteristic.pdf | 335.56 KB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_007receiverOperatingChara... | 5.85 KB |
| | | 008crossValidation.pdf | 501.23 KB |
| | | 1 - 8 - Cross validation (820).mp4 | 10.1 MB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_008crossValidation.html | 6.8 KB |
| | | 009whatData.pdf | 1.67 MB |
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| | | datasciencespecialization.github.io_courses_08_PracticalMachineLearning_009whatData.html | 7.39 KB |
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| | | 014basicPreprocessing.pdf | 1.51 MB |
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| | | 015covariateCreation.pdf | 1.88 MB |
| | | 2 - 6 - Covariate creation (1731).mp4 | 22.77 MB |
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| | | 016preProcessingPCA.pdf | 1.68 MB |
| | | 2 - 7 - Preprocessing with principal components analysis (1407).mp4 | 17.4 MB |
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| | | 017predictingWithRegression.pdf | 1.79 MB |
| | | 2 - 8 - Predicting with Regression (1222).mp4 | 15.8 MB |
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| | | 2 - 9 - Predicting with Regression Multiple Covariates (1112).mp4 | 14.5 MB |
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| | | 019predictingWithTrees.pdf | 1.65 MB |
| | | 3 - 1 - Predicting with trees (1251).mp4 | 16.18 MB |
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| | | 020bagging.pdf | 1.53 MB |
| | | 3 - 2 - Bagging (913).mp4 | 11.45 MB |
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| | | 021randomForests.pdf | 1.35 MB |
| | | 3 - 3 - Random Forests (649).mp4 | 8.73 MB |
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| | | 3 - 4 - Boosting (708).mp4 | 9.07 MB |
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| | | 3 - 5 - Model Based Prediction (1139).mp4 | 14.55 MB |
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| | | 024regularizedRegression.pdf | 1.68 MB |
| | | 4 - 1 - Regularized regression (1320).mp4 | 16.76 MB |
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| | | 4 - 2 - Combining predictors (711).mp4 | 9.31 MB |
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| | | index.html | 31.61 KB |
| | | Lectures.html | 80.84 KB |
| | | Materials.html | 42.57 KB |
| | | 2 - 1 - Introduction to Data Products (105).mp4 | 1.37 MB |
| | | 2 - 1 - Introduction to Data Products (105).srt | 1.49 KB |
| | | 2 - 1 - Introduction to Data Products (105).txt | 890 bytes |
| | | 2 - 2 - Motivating Shiny (149).mp4 | 3.4 MB |
| | | 2 - 2 - Motivating Shiny (149).srt | 2.68 KB |
| | | 2 - 2 - Motivating Shiny (149).txt | 1.59 KB |
| | | 2 - 3 - Shiny 1 Introduction to Shiny (836).mp4 | 10.89 MB |
| | | 2 - 3 - Shiny 1 Introduction to Shiny (836).srt | 12.53 KB |
| | | 2 - 3 - Shiny 1 Introduction to Shiny (836).txt | 7.68 KB |
| | | shiny.pdf | 386.26 KB |
| | | 2 - 4 - Shiny 2 basic html and getting input (456).mp4 | 5.98 MB |
| | | 2 - 4 - Shiny 2 basic html and getting input (456).srt | 7.07 KB |
| | | 2 - 4 - Shiny 2 basic html and getting input (456).txt | 4.09 KB |
| | | 2 - 5 - Shiny 3 Creating a very basic prediction function (412).mp4 | 5.07 MB |
| | | 2 - 5 - Shiny 3 Creating a very basic prediction function (412).srt | 6.07 KB |
| | | 2 - 5 - Shiny 3 Creating a very basic prediction function (412).txt | 3.69 KB |
| | | 2 - 6 - Shiny 4 Working with images (239).mp4 | 3.17 MB |
| | | 2 - 6 - Shiny 4 Working with images (239).srt | 3.65 KB |
| | | 2 - 6 - Shiny 4 Working with images (239).txt | 2.1 KB |
| | | 2 - 7 - Shiny 5 Discussion (448).mp4 | 6.51 MB |
| | | 2 - 7 - Shiny 5 Discussion (448).srt | 7.23 KB |
| | | 2 - 7 - Shiny 5 Discussion (448).txt | 4.29 KB |
| | | 2 - 8 - More advanced shiny discussion, reactivity (930).mp4 | 12.55 MB |
| | | 2 - 8 - More advanced shiny discussion, reactivity (930).srt | 11.68 KB |
| | | 2 - 8 - More advanced shiny discussion, reactivity (930).txt | 6.66 KB |
| | | SHINY2.pdf | 131.82 KB |
| | | 2 - 9 - More advanced shiny, the reactive function (550).mp4 | 6.82 MB |
| | | 2 - 9 - More advanced shiny, the reactive function (550).srt | 6.71 KB |
| | | 2 - 9 - More advanced shiny, the reactive function (550).txt | 4.03 KB |
| | | 2 - 10 - More advanced shiny, conditional execution of reactive statements (416).mp4 | 5.42 MB |
| | | 2 - 10 - More advanced shiny, conditional execution of reactive statements (416).srt | 5.41 KB |
| | | 2 - 10 - More advanced shiny, conditional execution of reactive statements (416).txt | 3.16 KB |
| | | 2 - 11 - More advanced shiny, odds and ends (455).mp4 | 6.32 MB |
| | | 2 - 11 - More advanced shiny, odds and ends (455).srt | 6.23 KB |
| | | 2 - 11 - More advanced shiny, odds and ends (455).txt | 3.81 KB |
| | | 3 - 1 - Presenting Data Analysis Writing a Data Report (318).mp4 | 7.35 MB |
| | | 3 - 2 - Slidify intro (532).mp4 | 7.19 MB |
| | | 3 - 2 - Slidify intro (532).srt | 7.52 KB |
| | | 3 - 2 - Slidify intro (532).txt | 4.61 KB |
| | | slidify.pdf | 4.23 MB |
| | | 3 - 3 - Slidify working it out (201).mp4 | 3.37 MB |
| | | 3 - 3 - Slidify working it out (201).srt | 3.05 KB |
| | | 3 - 3 - Slidify working it out (201).txt | 1.5 KB |
| | | 3 - 4 - Slidify customization (409).mp4 | 5.5 MB |
| | | 3 - 4 - Slidify customization (409).srt | 5.66 KB |
| | | 3 - 4 - Slidify customization (409).txt | 3.41 KB |
| | | 3 - 5 - Slidify more details (724).mp4 | 9.29 MB |
| | | 3 - 5 - Slidify more details (724).srt | 10.97 KB |
| | | 3 - 5 - Slidify more details (724).txt | 6.6 KB |
| | | 3 - 6 - Slidify reminder about knitting R (152).mp4 | 3.33 MB |
| | | 3 - 6 - Slidify reminder about knitting R (152).srt | 2.62 KB |
| | | 3 - 6 - Slidify reminder about knitting R (152).txt | 1.5 KB |
| | | 3 - 7 - RStudio Presenter 1 Introduction and getting started (459).mp4 | 8.61 MB |
| | | 3 - 7 - RStudio Presenter 1 Introduction and getting started (459).srt | 7.22 KB |
| | | 3 - 7 - RStudio Presenter 1 Introduction and getting started (459).txt | 4.21 KB |
| | | 3 - 8 - RStudio Presenter 2 Authoring details (1114).mp4 | 17.63 MB |
| | | 3 - 8 - RStudio Presenter 2 Authoring details (1114).srt | 15.61 KB |
| | | 3 - 8 - RStudio Presenter 2 Authoring details (1114).txt | 9.36 KB |
| | | 3 - 9 - RStudio Presenter 3 Discussion and comparison with Slidify (413).mp4 | 5.75 MB |
| | | 3 - 9 - RStudio Presenter 3 Discussion and comparison with Slidify (413).srt | 5.81 KB |
| | | 3 - 9 - RStudio Presenter 3 Discussion and comparison with Slidify (413).txt | 3.6 KB |
| | | 3 - 10 - Very quick introduction to gh-pages.mp4 | 10.07 MB |
| | | 4 - 1 - R Packages (Part 1) (711).mp4 | 9.07 MB |
| | | 4 - 1 - R Packages (Part 1) (711).srt | 12.93 KB |
| | | 4 - 1 - R Packages (Part 1) (711).txt | 8.08 KB |
| | | RPackages.pdf | 189.03 KB |
| | | 4 - 2 - R Packages (Part 2) (1459).mp4 | 17.1 MB |
| | | 4 - 2 - R Packages (Part 2) (1459).srt | 25.74 KB |
| | | 4 - 2 - R Packages (Part 2) (1459).txt | 15.83 KB |
| | | 4 - 3 - Building R Packages Demo (1800).mp4 | 31.99 MB |
| | | 4 - 3 - Building R Packages Demo (1800).srt | 26 KB |
| | | 4 - 3 - Building R Packages Demo (1800).txt | 15.45 KB |
| | | 4 - 4 - R Classes and Methods (Part 1) (1350).mp4 | 18.12 MB |
| | | 4 - 4 - R Classes and Methods (Part 1) (1350).srt | 22.67 KB |
| | | 4 - 4 - R Classes and Methods (Part 1) (1350).txt | 14.02 KB |
| | | classes-methods.pdf | 409.24 KB |
| | | 4 - 5 - R Classes and Methods (Part 2) (1119).mp4 | 13.28 MB |
| | | 4 - 5 - R Classes and Methods (Part 2) (1119).srt | 18.52 KB |
| | | 4 - 5 - R Classes and Methods (Part 2) (1119).txt | 11.49 KB |
| | | 4 - 6 - yhat (Part 1) (2439).mp4 | 40.06 MB |
| | | 4 - 6 - yhat (Part 1) (2439).srt | 39.22 KB |
| | | 4 - 6 - yhat (Part 1) (2439).txt | 23.36 KB |
| | | 4 - 7 - yhat (Part 2) (1138).mp4 | 21.23 MB |
| | | 4 - 7 - yhat (Part 2) (1138).srt | 18.39 KB |
| | | 4 - 7 - yhat (Part 2) (1138).txt | 11.15 KB |
| | | 5 - 1 - Shiny.mp4 | 36.87 MB |
| | | 5 - 2 - shiny2.mp4 | 31.12 MB |
| | | 5 - 3 - Slidify.mp4 | 28.68 MB |
| | | 5 - 4 - R Studio Presenter.mp4 | 31.94 MB |
| | | 5 - 5 - Manipulate.mp4 | 6.12 MB |
| | | 5 - 6 - rCharts.mp4 | 21.78 MB |
| | | 5 - 7 - plotly.mp4 | 13.36 MB |
| | | index.html | 47.37 KB |
| | | Lectures.html | 81.73 KB |
| | | Materials.html | 57.75 KB |
