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种子名称：
[Coursera Specialization] Data Science by Roger D. Peng, Jeff Leek, Brian Caffo
文件类型：
视频
文件数目：
365个文件
文件大小：
3.91 GB
收录时间：
2017-1-23 17:18
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3次
资源热度：
213
最近下载：
2024-5-31 07:44
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[Coursera Specialization] Data Science by Roger D. Peng, Jeff Leek, Brian Caffo.torrent
1. The Data Scientist's Toolbox/Week 01/1 - 1 - Series Motivation (12_03).mp49.6MB
1. The Data Scientist's Toolbox/Week 01/1 - 10 - Regression Models Overview (1_46).mp41.5MB
1. The Data Scientist's Toolbox/Week 01/1 - 11 - Practical Machine Learning Overview (1_31).mp41.27MB
1. The Data Scientist's Toolbox/Week 01/1 - 12 - Building Data Products Overview (1_19).mp41.16MB
1. The Data Scientist's Toolbox/Week 01/1 - 13 - Installing R on Windows (3_20) {Roger Peng}.mp45.12MB
1. The Data Scientist's Toolbox/Week 01/1 - 14 - Install R on a Mac (2_02) {Roger Peng}.mp43.98MB
1. The Data Scientist's Toolbox/Week 01/1 - 15 - Installing Rstudio (1_36) {Roger Peng}.mp42.61MB
1. The Data Scientist's Toolbox/Week 01/1 - 2 - The Data Scientist_'s Toolbox (5_09).mp44.41MB
1. The Data Scientist's Toolbox/Week 01/1 - 3 - Getting Help (8_52).mp46.71MB
1. The Data Scientist's Toolbox/Week 01/1 - 4 - Finding Answers (4_35).mp43.82MB
1. The Data Scientist's Toolbox/Week 01/1 - 5 - R Programming Overview (2_12).mp41.73MB
1. The Data Scientist's Toolbox/Week 01/1 - 6 - Getting Data Overview (1_34).mp41.22MB
1. The Data Scientist's Toolbox/Week 01/1 - 7 - Exploratory Data Analysis Overview (1_21).mp41.07MB
1. The Data Scientist's Toolbox/Week 01/1 - 8 - Reproducible Research Overview (1_27).mp41.06MB
1. The Data Scientist's Toolbox/Week 01/1 - 9 - Statistical Inference Overview (1_06).mp4891.93KB
1. The Data Scientist's Toolbox/Week 02/2 - 2 - Command Line Interface (16_04).mp412.37MB
1. The Data Scientist's Toolbox/Week 02/2 - 3 - Introduction to Git (4_49).mp46.16MB
1. The Data Scientist's Toolbox/Week 02/2 - 4 - Introduction to Github (3_53).mp43.18MB
1. The Data Scientist's Toolbox/Week 02/2 - 5 - Creating a Github Repository (5_51).mp44.84MB
1. The Data Scientist's Toolbox/Week 02/2 - 6 - Basic Git Commands (5_52).mp44.43MB
1. The Data Scientist's Toolbox/Week 02/2 - 7 - Basic Markdown (2_22).mp41.76MB
1. The Data Scientist's Toolbox/Week 02/2 - 8 - Installing R Packages (5_37).mp44.8MB
1. The Data Scientist's Toolbox/Week 02/2 - 9 - Installing Rtools (2_29).mp42.18MB
1. The Data Scientist's Toolbox/Week 03/3 - 1 - Types of Questions (9_09).mp47.67MB
1. The Data Scientist's Toolbox/Week 03/3 - 2 - What is Data_ (5_15).mp44.68MB
1. The Data Scientist's Toolbox/Week 03/3 - 3 - What About Big Data_ (4_15).mp43.82MB
1. The Data Scientist's Toolbox/Week 03/3 - 4 - Experimental Design (15_59).mp413.28MB
2. R Programming/01 - Background Material/01 - Installing R on Windows/1 - 1 - Installing R on Windows.mp45.14MB
2. R Programming/01 - Background Material/02 - Installing R on a Mac/1 - 2 - Installing R on a Mac.mp44.02MB
2. R Programming/01 - Background Material/03 - Installing R Studio (Mac)/1 - 3 - Installing R Studio (Mac).mp42.61MB
2. R Programming/01 - Background Material/04 - Writing Code Setting Your Working Directory (Windows)/1 - 4 - Writing Code Setting Your Working Directory (Windows).mp48.87MB
2. R Programming/01 - Background Material/05 - Writing Code Setting Your Working Directory (Mac)/1 - 5 - Writing Code Setting Your Working Directory (Mac).mp411.21MB
2. R Programming/01 - Background Material/06 - Use R version 3.1.1/1 - 6 - Use R version 3.1.1.mp42.51MB
2. R Programming/02 - Week 1/01 - Introduction/2 - 1 - Introduction.mp44.09MB
2. R Programming/02 - Week 1/02 - Overview and History of R [1607]/2 - 2 - Overview and History of R [1607].mp411.59MB
2. R Programming/02 - Week 1/03 - Getting Help [1353]/2 - 3 - Getting Help [1353].mp49.16MB
2. R Programming/02 - Week 1/04 - R Console Input and Evaluation [446]/2 - 4 - R Console Input and Evaluation [446].mp45.34MB
2. R Programming/02 - Week 1/05 - Data Types - R Objects and Attributes [443]/2 - 5 - Data Types - R Objects and Attributes [443].mp45.39MB
2. R Programming/02 - Week 1/06 - Data Types - Vectors and Lists [627]/2 - 6 - Data Types - Vectors and Lists [627].mp47.17MB
2. R Programming/02 - Week 1/07 - Data Types - Matrices [324]/2 - 7 - Data Types - Matrices [324].mp43.75MB
2. R Programming/02 - Week 1/08 - Data Types - Factors [431]/2 - 8 - Data Types - Factors [431].mp45.07MB
2. R Programming/02 - Week 1/09 - Data Types - Missing Values [210]/2 - 9 - Data Types - Missing Values [210].mp42.42MB
2. R Programming/02 - Week 1/10 - Data Types - Data Frames [244]/2 - 10 - Data Types - Data Frames [244].mp43.18MB
2. R Programming/02 - Week 1/11 - Data Types - Names Attribute [149]/2 - 11 - Data Types - Names Attribute [149].mp41.98MB
2. R Programming/02 - Week 1/12 - Data Types - Summary [043]/2 - 12 - Data Types - Summary [043].mp4820.12KB
2. R Programming/02 - Week 1/13 - Reading Tabular Data [551]/2 - 13 - Reading Tabular Data [551].mp46.88MB
2. R Programming/02 - Week 1/14 - Reading Large Tables [708]/2 - 14 - Reading Large Tables [708].mp48.34MB
2. R Programming/02 - Week 1/15 - Textual Data Formats [458]/2 - 15 - Textual Data Formats [458].mp45.85MB
2. R Programming/02 - Week 1/16 - Connections Interfaces to the Outside World [435]/2 - 16 - Connections Interfaces to the Outside World [435].mp45.2MB
2. R Programming/02 - Week 1/17 - Subsetting - Basics/2 - 17 - Subsetting - Basics.mp44.74MB
2. R Programming/02 - Week 1/18 - Subsetting - Lists/2 - 18 - Subsetting - Lists.mp45.21MB
2. R Programming/02 - Week 1/19 - Subsetting - Matrices/2 - 19 - Subsetting - Matrices.mp43.16MB
2. R Programming/02 - Week 1/20 - Subsetting - Partial Matching/2 - 20 - Subsetting - Partial Matching.mp41.89MB
2. R Programming/02 - Week 1/21 - Subsetting - Removing Missing Values/2 - 21 - Subsetting - Removing Missing Values.mp44.43MB
2. R Programming/02 - Week 1/22 - Vectorized Operations [346]/2 - 22 - Vectorized Operations [346].mp42.49MB
2. R Programming/02 - Week 1/23 - Introduction to swirl/2 - 23 - Introduction to swirl.mp43.17MB
2. R Programming/03 - Week 2/01 - Control Structures - Introduction [054]/3 - 1 - Control Structures - Introduction [054].mp41.08MB
2. R Programming/03 - Week 2/02 - Control Structures - If-else [158]/3 - 2 - Control Structures - If-else [158].mp42.12MB
2. R Programming/03 - Week 2/03 - Control Structures - For loops [425]/3 - 3 - Control Structures - For loops [425].mp44.85MB
2. R Programming/03 - Week 2/04 - Control Structures - While loops [322]/3 - 4 - Control Structures - While loops [322].mp43.76MB
2. R Programming/03 - Week 2/05 - Control Structures - Repeat, Next, Break [457]/3 - 5 - Control Structures - Repeat, Next, Break [457].mp45.46MB
2. R Programming/03 - Week 2/06 - Your First R Function [1029]/3 - 6 - Your First R Function [1029].mp416.48MB
2. R Programming/03 - Week 2/07 - Functions (part 1) [917]/3 - 7 - Functions (part 1) [917].mp46.46MB
2. R Programming/03 - Week 2/08 - Functions (part 2) [713]/3 - 8 - Functions (part 2) [713].mp44.86MB
2. R Programming/03 - Week 2/09 - Scoping Rules - Symbol Binding [1032]/3 - 9 - Scoping Rules - Symbol Binding [1032].mp47.6MB
2. R Programming/03 - Week 2/10 - Scoping Rules - R Scoping Rules [834]/3 - 10 - Scoping Rules - R Scoping Rules [834].mp45.7MB
2. R Programming/03 - Week 2/11 - Scoping Rules - Optimization Example (OPTIONAL) [921]/3 - 11 - Scoping Rules - Optimization Example (OPTIONAL) [921].mp46.35MB
2. R Programming/03 - Week 2/12 - Coding Standards [859]/3 - 12 - Coding Standards [859].mp414.81MB
2. R Programming/03 - Week 2/13 - Dates and Times [1029]/3 - 13 - Dates and Times [1029].mp411.8MB
2. R Programming/04 - Week 3/01 - Loop Functions - lapply [923]/4 - 1 - Loop Functions - lapply [923].mp46.1MB
2. R Programming/04 - Week 3/02 - Loop Functions - apply [721]/4 - 2 - Loop Functions - apply [721].mp44.96MB
2. R Programming/04 - Week 3/03 - Loop Functions - mapply [446]/4 - 3 - Loop Functions - mapply [446].mp43.21MB
2. R Programming/04 - Week 3/04 - Loop Functions - tapply [317]/4 - 4 - Loop Functions - tapply [317].mp42.17MB
2. R Programming/04 - Week 3/05 - Loop Functions - split [909]/4 - 5 - Loop Functions - split [909].mp46.16MB
2. R Programming/04 - Week 3/06 - Debugging Tools - Diagnosing the Problem [1233]/4 - 6 - Debugging Tools - Diagnosing the Problem [1233].mp48.37MB
2. R Programming/04 - Week 3/07 - Debugging Tools - Basic Tools [625]/4 - 7 - Debugging Tools - Basic Tools [625].mp44.92MB
2. R Programming/04 - Week 3/08 - Debugging Tools - Using the Tools [821]/4 - 8 - Debugging Tools - Using the Tools [821].mp45.37MB
2. R Programming/05 - Week 4/01 - The str Function [608]/5 - 1 - The str Function [608].mp45.78MB
2. R Programming/05 - Week 4/02 - Simulation - Generating Random Numbers [747]/5 - 2 - Simulation - Generating Random Numbers [747].mp45.34MB
2. R Programming/05 - Week 4/03 - Simulation - Simulating a Linear Model [431]/5 - 3 - Simulation - Simulating a Linear Model [431].mp45.18MB
2. R Programming/05 - Week 4/04 - Simulation - Random Sampling [237]/5 - 4 - Simulation - Random Sampling [237].mp42.99MB
2. R Programming/05 - Week 4/05 - R Profiler (part 1) [1039]/5 - 5 - R Profiler (part 1) [1039].mp49.17MB
2. R Programming/05 - Week 4/06 - R Profiler (part 2) [1026]/5 - 6 - R Profiler (part 2) [1026].mp411.23MB
3. Getting and Cleaning Data/01 - Week 1/01 - Obtaining Data Motivation (5-38)/1 - 1 - Obtaining Data Motivation (538).mp44.98MB
3. Getting and Cleaning Data/01 - Week 1/02 - Raw and Processed Data (7-07)/1 - 2 - Raw and Processed Data (707).mp45.95MB
3. Getting and Cleaning Data/01 - Week 1/03 - Components of Tidy Data (9-25)/1 - 3 - Components of Tidy Data (925).mp47.57MB
3. Getting and Cleaning Data/01 - Week 1/04 - Downloading Files (7-09)/1 - 4 - Downloading Files (709).mp45.9MB
3. Getting and Cleaning Data/01 - Week 1/05 - Reading Local Files (4-55)/1 - 5 - Reading Local Files (455).mp44.39MB
3. Getting and Cleaning Data/01 - Week 1/06 - Reading Excel Files (3-55)/1 - 6 - Reading Excel Files (355).mp43.46MB
3. Getting and Cleaning Data/01 - Week 1/07 - Reading XML (12-39)/1 - 7 - Reading XML (1239).mp411.51MB
3. Getting and Cleaning Data/01 - Week 1/08 - Reading JSON (5-03)/1 - 8 - Reading JSON (503).mp44.59MB
3. Getting and Cleaning Data/01 - Week 1/09 - The data.table Package (11-18)/1 - 9 - The data.table Package (1118).mp48.89MB
3. Getting and Cleaning Data/02 - Week 2/01 - Reading from MySQL (14-44)/2 - 1 - Reading from MySQL (1444).mp412.23MB
3. Getting and Cleaning Data/02 - Week 2/02 - Reading from HDF5 (6-45)/2 - 2 - Reading from HDF5 (645).mp45.47MB
3. Getting and Cleaning Data/02 - Week 2/03 - Reading from The Web (6-47)/2 - 3 - Reading from The Web (647).mp45.59MB
3. Getting and Cleaning Data/02 - Week 2/04 - Reading From APIs (7-57)/2 - 4 - Reading From APIs (757).mp46.37MB
3. Getting and Cleaning Data/02 - Week 2/05 - Reading From Other Sources (4-44)/2 - 5 - Reading From Other Sources (444).mp43.93MB
3. Getting and Cleaning Data/03 - Week 3/01 - Subsetting and Sorting (6-51)/3 - 1 - Subsetting and Sorting (651).mp44.94MB
3. Getting and Cleaning Data/03 - Week 3/02 - Summarizing Data (11-37)/3 - 2 - Summarizing Data (1137).mp49.56MB
3. Getting and Cleaning Data/03 - Week 3/03 - Creating New Variables (10-32)/3 - 3 - Creating New Variables (1032).mp48.5MB
3. Getting and Cleaning Data/03 - Week 3/04 - Reshaping Data (9-13)/3 - 4 - Reshaping Data (913).mp47.21MB
3. Getting and Cleaning Data/03 - Week 3/05 - Managing Data Frames with dplyr - Introduction/3 - 5 - Managing Data Frames with dplyr - Introduction.mp44.7MB
3. Getting and Cleaning Data/03 - Week 3/06 - Managing Data Frames with dplyr - Basic Tools/3 - 6 - Managing Data Frames with dplyr - Basic Tools.mp417.5MB
3. Getting and Cleaning Data/03 - Week 3/07 - Merging Data (6-19)/3 - 7 - Merging Data (619).mp45.69MB
3. Getting and Cleaning Data/04 - Week 4/01 - Editing Text Variables (10-46)/4 - 1 - Editing Text Variables (1046).mp48.98MB
3. Getting and Cleaning Data/04 - Week 4/02 - Regular Expressions I (5-16)/4 - 2 - Regular Expressions I (516).mp44.15MB
3. Getting and Cleaning Data/04 - Week 4/03 - Regular Expressions II (8-00)/4 - 3 - Regular Expressions II (800).mp46.46MB
3. Getting and Cleaning Data/04 - Week 4/04 - Working with Dates (6-02)/4 - 4 - Working with Dates (602).mp44.7MB
3. Getting and Cleaning Data/04 - Week 4/05 - Data Resources (3-33)/4 - 5 - Data Resources (333).mp43.03MB
4. Exploratory Data Analysis/01 - Background Material/01 - Installing R on Windows/1 - 1 - Installing R on Windows.mp41.94MB
4. Exploratory Data Analysis/01 - Background Material/02 - Installing R on a Mac/1 - 2 - Installing R on a Mac.mp42.45MB
4. Exploratory Data Analysis/01 - Background Material/03 - Installing R Studio (Mac)/1 - 3 - Installing R Studio (Mac).mp43.54MB
4. Exploratory Data Analysis/01 - Background Material/04 - Setting Your Working Directory (Windows)/1 - 4 - Setting Your Working Directory (Windows).mp45.57MB
4. Exploratory Data Analysis/01 - Background Material/05 - Setting Your Working Directory (Mac)/1 - 5 - Setting Your Working Directory (Mac).mp47.24MB
4. Exploratory Data Analysis/01 - Background Material/06 - Use R version 3.1.1/1 - 6 - Use R version 3.1.1.mp42.39MB
4. Exploratory Data Analysis/02 - Week 1/01 - Introduction/2 - 1 - Introduction.mp43.98MB
4. Exploratory Data Analysis/02 - Week 1/02 - Principles of Analytic Graphics [1211]/2 - 2 - Principles of Analytic Graphics [1211].mp410.79MB
4. Exploratory Data Analysis/02 - Week 1/03 - Exploratory Graphs (part 1) [928]/2 - 3 - Exploratory Graphs (part 1) [928].mp46.89MB
4. Exploratory Data Analysis/02 - Week 1/04 - Exploratory Graphs (part 2) [513]/2 - 4 - Exploratory Graphs (part 2) [513].mp43.8MB
4. Exploratory Data Analysis/02 - Week 1/05 - Plotting Systems in R [934]/2 - 5 - Plotting Systems in R [934].mp48.33MB
4. Exploratory Data Analysis/02 - Week 1/06 - Base Plotting System (part 1) [1120]/2 - 6 - Base Plotting System (part 1) [1120].mp49.21MB
4. Exploratory Data Analysis/02 - Week 1/07 - Base Plotting System (part 2) [656]/2 - 7 - Base Plotting System (part 2) [656].mp45.41MB
4. Exploratory Data Analysis/02 - Week 1/08 - Base Plotting Demonstration [1656]/2 - 8 - Base Plotting Demonstration [1656].mp416.04MB
4. Exploratory Data Analysis/02 - Week 1/09 - Graphics Devices in R (part 1) [534]/2 - 9 - Graphics Devices in R (part 1) [534].mp44.84MB
4. Exploratory Data Analysis/02 - Week 1/10 - Graphics Devices in R (part 2) [731]/2 - 10 - Graphics Devices in R (part 2) [731].mp46.14MB
4. Exploratory Data Analysis/03 - Week 2/01 - Lattice Plotting System (part 1) [622]/3 - 1 - Lattice Plotting System (part 1) [622].mp44.92MB
4. Exploratory Data Analysis/03 - Week 2/02 - Lattice Plotting System (part 2) [612]/3 - 2 - Lattice Plotting System (part 2) [612].mp44.96MB
4. Exploratory Data Analysis/03 - Week 2/03 - ggplot2 (part 1) [626]/3 - 3 - ggplot2 (part 1) [626].mp45.91MB
4. Exploratory Data Analysis/03 - Week 2/04 - ggplot2 (part 2) [1353]/3 - 4 - ggplot2 (part 2) [1353].mp418.41MB
4. Exploratory Data Analysis/03 - Week 2/05 - ggplot2 (part 3) [947]/3 - 5 - ggplot2 (part 3) [947].mp48.68MB
4. Exploratory Data Analysis/03 - Week 2/06 - ggplot2 (part 4) [1038]/3 - 6 - ggplot2 (part 4) [1038].mp49.78MB
4. Exploratory Data Analysis/03 - Week 2/07 - ggplot2 (part 5) [811]/3 - 7 - ggplot2 (part 5) [811].mp47.26MB
4. Exploratory Data Analysis/04 - Week 3/01 - Hierarchical Clustering (part 1) [721]/4 - 1 - Hierarchical Clustering (part 1) [721].mp45.03MB
4. Exploratory Data Analysis/04 - Week 3/02 - Hierarchical Clustering (part 2) [524]/4 - 2 - Hierarchical Clustering (part 2) [524].mp43.97MB
4. Exploratory Data Analysis/04 - Week 3/03 - Hierarchical Clustering (part 3) [734]/4 - 3 - Hierarchical Clustering (part 3) [734].mp45.36MB
4. Exploratory Data Analysis/04 - Week 3/04 - K-Means Clustering (part 1) [546]/4 - 4 - K-Means Clustering (part 1) [546].mp43.74MB
4. Exploratory Data Analysis/04 - Week 3/05 - K-Means Clustering (part 2) [426]/4 - 5 - K-Means Clustering (part 2) [426].mp42.94MB
4. Exploratory Data Analysis/04 - Week 3/06 - Dimension Reduction (part 1) [755]/4 - 6 - Dimension Reduction (part 1) [755].mp45.89MB
4. Exploratory Data Analysis/04 - Week 3/07 - Dimension Reduction (part 2) [926]/4 - 7 - Dimension Reduction (part 2) [926].mp47.15MB
4. Exploratory Data Analysis/04 - Week 3/08 - Dimension Reduction (part 3) [642]/4 - 8 - Dimension Reduction (part 3) [642].mp45.06MB
4. Exploratory Data Analysis/04 - Week 3/09 - Working with Color in R Plots (part 1) [408]/4 - 9 - Working with Color in R Plots (part 1) [408].mp42.97MB
4. Exploratory Data Analysis/04 - Week 3/10 - Working with Color in R Plots (part 2) [741]/4 - 10 - Working with Color in R Plots (part 2) [741].mp45.46MB
4. Exploratory Data Analysis/04 - Week 3/11 - Working with Color in R Plots (part 3) [639]/4 - 11 - Working with Color in R Plots (part 3) [639].mp44.8MB
4. Exploratory Data Analysis/04 - Week 3/12 - Working with Color in R Plots (part 4) [335]/4 - 12 - Working with Color in R Plots (part 4) [335].mp42.73MB
4. Exploratory Data Analysis/05 - Week 4/01 - Clustering Case Study [1451]/5 - 1 - Clustering Case Study [1451].mp416.76MB
4. Exploratory Data Analysis/05 - Week 4/02 - Air Pollution Case Study [4035]/5 - 2 - Air Pollution Case Study [4035].mp472.01MB
5. Reproducible Research/01 - Week 1/01 - Introduction/1 - 1 - Introduction.mp45.86MB
5. Reproducible Research/01 - Week 1/02 - Reproducible Research Concepts and Ideas (part 1) [711]/1 - 3 - Reproducible Research Concepts and Ideas (part 1) [711].mp410.08MB
5. Reproducible Research/01 - Week 1/03 - Reproducible Research Concepts and Ideas (part 2) [527]/1 - 4 - Reproducible Research Concepts and Ideas (part 2) [527].mp47.51MB
5. Reproducible Research/01 - Week 1/04 - Reproducible Research Concepts and Ideas (part 3) [326]/1 - 5 - Reproducible Research Concepts and Ideas (part 3) [326].mp44.99MB
5. Reproducible Research/01 - Week 1/05 - Scripting Your Analysis [436]/1 - 6 - Scripting Your Analysis [436].mp410.2MB
5. Reproducible Research/01 - Week 1/06 - Structure of a Data Analysis (part 1) [1229]/1 - 7 - Structure of a Data Analysis (part 1) [1229].mp414.9MB
5. Reproducible Research/01 - Week 1/07 - Structure of a Data Analysis (part 2) [1741]/1 - 8 - Structure of a Data Analysis (part 2) [1741].mp421.04MB
5. Reproducible Research/01 - Week 1/08 - Organizing Your Analysis [1105]/1 - 9 - Organizing Your Analysis [1105].mp414.12MB
5. Reproducible Research/02 - Week 2/01 - Coding Standards in R [859]/2 - 1 - Coding Standards in R [859].mp418.91MB
5. Reproducible Research/02 - Week 2/02 - Markdown [515]/2 - 2 - Markdown [515].mp47.25MB
5. Reproducible Research/02 - Week 2/03 - R Markdown [635]/2 - 3 - R Markdown [635].mp47.85MB
5. Reproducible Research/02 - Week 2/04 - R Markdown Demonstration [724]/2 - 4 - R Markdown Demonstration [724].mp410.04MB
5. Reproducible Research/02 - Week 2/05 - knitr (part 1) [705]/2 - 5 - knitr (part 1) [705].mp49.47MB
5. Reproducible Research/02 - Week 2/06 - knitr (part 2) [411]/2 - 6 - knitr (part 2) [411].mp45.4MB
5. Reproducible Research/02 - Week 2/07 - knitr (part 3) [446]/2 - 7 - knitr (part 3) [446].mp46.12MB
5. Reproducible Research/02 - Week 2/08 - knitr (part 4) [921]/2 - 8 - knitr (part 4) [921].mp412.47MB
5. Reproducible Research/02 - Week 2/09 - Introduction to Peer Assessment 1/2 - 9 - Introduction to Peer Assessment 1.mp48.43MB
5. Reproducible Research/03 - Week 3/01 - Communicating Results [654]/3 - 1 - Communicating Results [654].mp48.2MB
5. Reproducible Research/03 - Week 3/02 - RPubs [321]/3 - 2 - RPubs [321].mp45.22MB
5. Reproducible Research/03 - Week 3/03 - Reproducible Research Checklist (part 1) [822]/3 - 3 - Reproducible Research Checklist (part 1) [822].mp411.1MB
5. Reproducible Research/03 - Week 3/04 - Reproducible Research Checklist (part 2) [1020]/3 - 4 - Reproducible Research Checklist (part 2) [1020].mp415.36MB
5. Reproducible Research/03 - Week 3/05 - Reproducible Research Checklist (part 3) [654]/3 - 5 - Reproducible Research Checklist (part 3) [654].mp48.92MB
5. Reproducible Research/03 - Week 3/06 - Evidence-based Data Analysis (part 1) [351]/3 - 6 - Evidence-based Data Analysis (part 1) [351].mp44.54MB
5. Reproducible Research/03 - Week 3/07 - Evidence-based Data Analysis (part 2) [334]/3 - 7 - Evidence-based Data Analysis (part 2) [334].mp44.1MB
5. Reproducible Research/03 - Week 3/08 - Evidence-based Data Analysis (part 3) [425]/3 - 8 - Evidence-based Data Analysis (part 3) [425].mp44.86MB
5. Reproducible Research/03 - Week 3/09 - Evidence-based Data Analysis (part 4) [447]/3 - 9 - Evidence-based Data Analysis (part 4) [447].mp45.54MB
5. Reproducible Research/03 - Week 3/10 - Evidence-based Data Analysis (part 5) [756]/3 - 10 - Evidence-based Data Analysis (part 5) [756].mp49.34MB
5. Reproducible Research/03 - Week 3/11 - Introduction to Peer Assessment 2/3 - 11 - Introduction to Peer Assessment 2.mp41.06MB
5. Reproducible Research/04 - Week 4/01 - Caching Computations [1116]/4 - 1 - Caching Computations [1116].mp416.5MB
5. Reproducible Research/04 - Week 4/02 - Case Study Air Pollution [1412]/4 - 2 - Case Study Air Pollution [1412].mp420.91MB
5. Reproducible Research/04 - Week 4/03 - Case Study High Throughput Biology [3051]/4 - 3 - Case Study High Throughput Biology [3051].mp450.56MB
5. Reproducible Research/04 - Week 4/04 - Commentaries on Data Analysis/4 - 4 - Commentaries on Data Analysis.mp46.8MB
6. Statistical Inference/01 - First Week/01 - 01 01 Introduction (7-05)/1 - 1 - 01 01 Introduction (705).mp414.04MB
6. Statistical Inference/01 - First Week/02 - Brief note on new materials/1 - 2 - Brief note on new materials.mp41.06MB
6. Statistical Inference/01 - First Week/03 - 02 01 Introduction to probability (6-13)/1 - 3 - 02 01 Introduction to probability (613).mp49.14MB
6. Statistical Inference/01 - First Week/04 - 02 02 Probability mass functions (7-14)/1 - 4 - 02 02 Probability mass functions (714).mp410.48MB
6. Statistical Inference/01 - First Week/05 - 02 03 Probability density functions (13-27)/1 - 5 - 02 03 Probability density functions (1327).mp417.92MB
6. Statistical Inference/01 - First Week/06 - 03 01 Conditional Probability (3-23)/1 - 6 - 03 01 Conditional Probability (323).mp46.14MB
6. Statistical Inference/01 - First Week/07 - 03 02 Bayes rule (7-52)/1 - 7 - 03 02 Bayes rule (752).mp412.81MB
6. Statistical Inference/01 - First Week/08 - 03 03 Independence (3-04)/1 - 8 - 03 03 Independence (304).mp45.26MB
6. Statistical Inference/01 - First Week/09 - 04 01 Expected values (5-14)/1 - 9 - 04 01 Expected values (514).mp48.02MB
6. Statistical Inference/01 - First Week/10 - 04 02 Expected values, simple examples (2-12)/1 - 10 - 04 02 Expected values, simple examples (212).mp43.33MB
6. Statistical Inference/01 - First Week/11 - 04 03 Expected values for PDFs (7-46)/1 - 11 - 04 03 Expected values for PDFs (746).mp410.89MB
6. Statistical Inference/02 - Second Week/01 - 05 01 Introduction to variability (4-57)/2 - 1 - 05 01 Introduction to variability (457).mp47.26MB
6. Statistical Inference/02 - Second Week/02 - 05 02 Variance simulation examples (2-46)/2 - 2 - 05 02 Variance simulation examples (246).mp43.21MB
6. Statistical Inference/02 - Second Week/03 - 05 03 Standard error of the mean (7-12)/2 - 3 - 05 03 Standard error of the mean (712).mp412.05MB
6. Statistical Inference/02 - Second Week/04 - 05 04 Variance data example (3-33)/2 - 4 - 05 04 Variance data example (333).mp45.63MB
6. Statistical Inference/02 - Second Week/05 - 06 01 Binomial distrubtion (3-02)/2 - 5 - 06 01 Binomial distrubtion (302).mp45.15MB
6. Statistical Inference/02 - Second Week/06 - 06 02 Normal distribution (15-12)/2 - 6 - 06 02 Normal distribution (1512).mp423.39MB
6. Statistical Inference/02 - Second Week/07 - 06 03 Poisson (6-08)/2 - 7 - 06 03 Poisson (608).mp49.04MB
6. Statistical Inference/02 - Second Week/08 - 07 01 Asymptotics and LLN (4-28)/2 - 8 - 07 01 Asymptotics and LLN (428).mp46.93MB
6. Statistical Inference/02 - Second Week/09 - 07 02 Asymptotics and the CLT (8-27)/2 - 9 - 07 02 Asymptotics and the CLT (827).mp412.56MB
6. Statistical Inference/02 - Second Week/10 - 07 03 Asymptotics and confidence intervals (20-10)/2 - 10 - 07 03 Asymptotics and confidence intervals (2010).mp431.14MB
6. Statistical Inference/03 - Third Week/01 - 08 01 T confidence intervals (9-12)/3 - 1 - 08 01 T confidence intervals (912).mp411.77MB
6. Statistical Inference/03 - Third Week/02 - 08 02 T confidence intervals example (4-06)/3 - 2 - 08 02 T confidence intervals example (406).mp45.11MB
6. Statistical Inference/03 - Third Week/03 - 08 03 Independent group T intervals (14-36)/3 - 3 - 08 03 Independent group T intervals (1436).mp421.08MB
6. Statistical Inference/03 - Third Week/04 - 08 04 A note on unequal variance (3-29)/3 - 4 - 08 04 A note on unequal variance (329).mp44.82MB
6. Statistical Inference/03 - Third Week/05 - 09 01 Hypothesis testing (4-17)/3 - 5 - 09 01 Hypothesis testing (417).mp46.62MB
6. Statistical Inference/03 - Third Week/06 - 09 02 Example of choosing a rejection region (5-12)/3 - 6 - 09 02 Example of choosing a rejection region (512).mp47.63MB
6. Statistical Inference/03 - Third Week/07 - 09 03 T tests (7-04)/3 - 7 - 09 03 T tests (704).mp48.72MB
6. Statistical Inference/03 - Third Week/08 - 09 04 Two group testing (17-54)/3 - 8 - 09 04 Two group testing (1754).mp422.37MB
6. Statistical Inference/03 - Third Week/09 - 10 01 Pvalues (7-50)/3 - 9 - 10 01 Pvalues (750).mp412.91MB
6. Statistical Inference/03 - Third Week/10 - 10 02 Pvalue further examples (5-54)/3 - 10 - 10 02 Pvalue further examples (554).mp49.24MB
6. Statistical Inference/04 - Fourth Week/01 - 11 01 Power (4-54)/4 - 1 - 11 01 Power (454).mp47.98MB
6. Statistical Inference/04 - Fourth Week/02 - 11 02 Calculating Power (12-51)/4 - 2 - 11 02 Calculating Power (1251).mp417.83MB
6. Statistical Inference/04 - Fourth Week/03 - 11 03 Notes on power (4-57)/4 - 3 - 11 03 Notes on power (457).mp47.03MB
6. Statistical Inference/04 - Fourth Week/04 - 11 04 T test power (8-02)/4 - 4 - 11 04 T test power (802).mp411.62MB
6. Statistical Inference/04 - Fourth Week/05 - 12 Multiple Comparisons (25-22)/4 - 5 - 12 Multiple Comparisons (2522).mp430.53MB
6. Statistical Inference/04 - Fourth Week/06 - 13 01 Bootstrapping (7-10)/4 - 6 - 13 01 Bootstrapping (710).mp49.52MB
6. Statistical Inference/04 - Fourth Week/07 - 13 02 Bootstrapping example (3-29)/4 - 7 - 13 02 Bootstrapping example (329).mp45.52MB
6. Statistical Inference/04 - Fourth Week/08 - 13 03 Notes on the bootstrap (10-20)/4 - 8 - 13 03 Notes on the bootstrap (1020).mp413.39MB
6. Statistical Inference/04 - Fourth Week/09 - 13 04 Permutation tests (9-07)/4 - 9 - 13 04 Permutation tests (907).mp411.03MB
6. Statistical Inference/05 - Extra lectures/01 - Just enough knitr to do the project/9 - 1 - Just enough knitr to do the project.mp46.17MB
6. Statistical Inference/06 - Homework Videos/01 - Homework 1/10 - 1 - Homework 1.mp427.64MB
6. Statistical Inference/06 - Homework Videos/02 - Homework 2/10 - 2 - Homework 2.mp429.45MB
6. Statistical Inference/06 - Homework Videos/03 - Homework 3/10 - 3 - Homework 3.mp421.78MB
6. Statistical Inference/06 - Homework Videos/04 - Homework 4/10 - 4 - Homework 4.mp448.46MB
7. Regression Models/01 - Week 1/01 - 01_01_a Introduction to regression (4-10)/1 - 1 - 01_01_a Introduction to regression (410).mp45.54MB
7. Regression Models/01 - Week 1/02 - 01_01_b Basic least squares (5-41)/1 - 2 - 01_01_b Basic least squares (541).mp47.15MB
7. Regression Models/01 - Week 1/03 - 01_01_c Least squares continued (5-38)/1 - 3 - 01_01_c Least squares continued (538).mp47.49MB
7. Regression Models/01 - Week 1/04 - 01_01_d Regression through the origin (7-37)/1 - 4 - 01_01_d Regression through the origin (737).mp49.7MB
7. Regression Models/01 - Week 1/05 - 01_02_a Basic Notation and Background (3-26)/1 - 5 - 01_02_a Basic Notation and Background (326).mp44.31MB
7. Regression Models/01 - Week 1/06 - 01_02_b Normalization and Correlation (5-22)/1 - 6 - 01_02_b Normalization and Correlation (522).mp46.75MB
7. Regression Models/01 - Week 1/07 - 01_03_a Linear Least Squares (6-01)/1 - 7 - 01_03_a Linear Least Squares (601).mp47.29MB
7. Regression Models/01 - Week 1/08 - 01_03_b Linear Least Squares Special Cases (4-22)/1 - 8 - 01_03_b Linear Least Squares Special Cases (422).mp45.21MB
7. Regression Models/01 - Week 1/09 - 01_03_c Linear Least Squares Solved (11-33)/1 - 9 - 01_03_c Linear Least Squares Solved (1133).mp414.41MB
7. Regression Models/01 - Week 1/10 - 01_04_a Regression to the Mean (3-46)/1 - 10 - 01_04_a Regression to the Mean (346).mp45.04MB
7. Regression Models/01 - Week 1/11 - 01_04_b Regression to the Mean Example (10-46)/1 - 11 - 01_04_b Regression to the Mean Example (1046).mp413.92MB
7. Regression Models/02 - Week 2/01 - 01_05_a Statistical Linear Regression Models (5-58)/2 - 1 - 01_05_a Statistical Linear Regression Models (558).mp47.41MB
7. Regression Models/02 - Week 2/02 - 01_05_b Interpreting Regression Coefficients (6-28)/2 - 2 - 01_05_b Interpreting Regression Coefficients (628).mp48.43MB
7. Regression Models/02 - Week 2/03 - 01_05_c Statistical Regression Models Examples (6-00)/2 - 3 - 01_05_c Statistical Regression Models Examples (600).mp47.58MB
7. Regression Models/02 - Week 2/04 - 01_06_a Residuals (2-51)/2 - 4 - 01_06_a Residuals (251).mp43.52MB
7. Regression Models/02 - Week 2/05 - 01_06_b Properties of Residuals (8-48)/2 - 5 - 01_06_b Properties of Residuals (848).mp411.03MB
7. Regression Models/02 - Week 2/06 - 01_06_c Residual Variation (11-20)/2 - 6 - 01_06_c Residual Variation (1120).mp414.12MB
7. Regression Models/02 - Week 2/07 - 01_07_a Inference in Regression (1-28)/2 - 7 - 01_07_a Inference in Regression (128).mp41.76MB
7. Regression Models/02 - Week 2/08 - 01_07_b T Tests for Regression Coefficients (12-33)/2 - 8 - 01_07_b T Tests for Regression Coefficients (1233).mp416.26MB
7. Regression Models/02 - Week 2/09 - 01_07_c Prediction Intervals (14-13)/2 - 9 - 01_07_c Prediction Intervals (1413).mp418.96MB
7. Regression Models/02 - Week 2/10 - 02_01_a Multivariate Regression (2-47)/2 - 10 - 02_01_a Multivariate Regression (247).mp43.68MB
7. Regression Models/02 - Week 2/11 - 02_01_b Multivariable Least Squares (12-59)/2 - 11 - 02_01_b Multivariable Least Squares (1259).mp416.25MB
7. Regression Models/02 - Week 2/12 - 02_01_c More Multivariable Least Squares (8-35)/2 - 12 - 02_01_c More Multivariable Least Squares (835).mp411.85MB
7. Regression Models/02 - Week 2/13 - 02_01_d Multivariable Linear Models Interpretation (9-46)/2 - 13 - 02_01_d Multivariable Linear Models Interpretation (946).mp412.69MB
7. Regression Models/03 - Week 3/01 - 02_02_a Multivariable regression examples (14-38)/3 - 1 - 02_02_a Multivariable regression examples (1438).mp419.5MB
7. Regression Models/03 - Week 3/02 - 02_02_b Dummy variables (27-08)/3 - 2 - 02_02_b Dummy variables (2708).mp435.23MB
7. Regression Models/03 - Week 3/03 - 02_02_c Interactions (26-29)/3 - 3 - 02_02_c Interactions (2629).mp434.41MB
7. Regression Models/03 - Week 3/04 - 02_03_a Multivariable simulation exercises (5-42)/3 - 4 - 02_03_a Multivariable simulation exercises (542).mp47.5MB
7. Regression Models/03 - Week 3/05 - 02_03_b More simulation exercises (3-53)/3 - 5 - 02_03_b More simulation exercises (353).mp44.84MB
7. Regression Models/03 - Week 3/06 - 02_03_c More simulation examples 2 (2-52)/3 - 6 - 02_03_c More simulation examples 2 (252).mp43.56MB
7. Regression Models/03 - Week 3/07 - 02_03_d Simulation examples finished (4-22)/3 - 7 - 02_03_d Simulation examples finished (422).mp45.77MB
7. Regression Models/03 - Week 3/08 - 02_04_a Residuals (4-48)/3 - 8 - 02_04_a Residuals (448).mp45.98MB
7. Regression Models/03 - Week 3/09 - 02_04_b More on diagnostics (5-18)/3 - 9 - 02_04_b More on diagnostics (518).mp47.56MB
7. Regression Models/03 - Week 3/10 - 02_04_c Residuals and diagnostics examples (6-32)/3 - 10 - 02_04_c Residuals and diagnostics examples (632).mp48.53MB
7. Regression Models/03 - Week 3/11 - 02_05_a Some thoughts on model selection (6-38)/3 - 11 - 02_05_a Some thoughts on model selection (638).mp49.13MB
7. Regression Models/03 - Week 3/12 - 02_05_b Variance inflation (10-33)/3 - 12 - 02_05_b Variance inflation (1033).mp413.3MB
7. Regression Models/03 - Week 3/13 - 02_05_c Model comparison and search (8-05)/3 - 13 - 02_05_c Model comparison and search (805).mp411.14MB
7. Regression Models/04 - Week 4/01 - 03_01_a Generalized Linear Models (2-32)/4 - 1 - 03_01_a Generalized Linear Models (232).mp43.26MB
7. Regression Models/04 - Week 4/02 - 03_01_b GLM Examples (6-21)/4 - 2 - 03_01_b GLM Examples (621).mp47.9MB
7. Regression Models/04 - Week 4/03 - 03_01_c Variances and Quasi Likelihood (7-05)/4 - 3 - 03_01_c Variances and Quasi Likelihood (705).mp49.01MB
7. Regression Models/04 - Week 4/04 - 03_02_a Binary Data GLMs (7-11)/4 - 4 - 03_02_a Binary Data GLMs (711).mp48.93MB
7. Regression Models/04 - Week 4/05 - 03_02_b GLMs and Odds (14-03)/4 - 5 - 03_02_b GLMs and Odds (1403).mp417.63MB
7. Regression Models/04 - Week 4/06 - 03_02_c More on Odds (12-29)/4 - 6 - 03_02_c More on Odds (1229).mp415.3MB
7. Regression Models/04 - Week 4/07 - 03_03_a Poisson Regression (8-15)/4 - 7 - 03_03_a Poisson Regression (815).mp49.91MB
7. Regression Models/04 - Week 4/08 - 03_03_b Poisson Regression Example (14-12)/4 - 8 - 03_03_b Poisson Regression Example (1412).mp417.8MB
7. Regression Models/04 - Week 4/09 - 03_03_c Poisson Rate Models (12-53)/4 - 9 - 03_03_c Poisson Rate Models (1253).mp415.8MB
7. Regression Models/04 - Week 4/10 - 03_04_a Fitting Functions (9-52)/4 - 10 - 03_04_a Fitting Functions (952).mp412.79MB
7. Regression Models/04 - Week 4/11 - 03_04_b Fun Example (8-02)/4 - 11 - 03_04_b Fun Example (802).mp49.98MB
7. Regression Models/05 - Whole lectures/01 - 01_01/5 - 1 - 01_01.mp429.9MB
7. Regression Models/05 - Whole lectures/02 - 01_02/5 - 2 - 01_02.mp411.25MB
7. Regression Models/05 - Whole lectures/03 - 01_03/5 - 3 - 01_03.mp426.86MB
7. Regression Models/05 - Whole lectures/04 - 01_04/5 - 4 - 01_04.mp418.95MB
7. Regression Models/05 - Whole lectures/05 - 01_05/5 - 5 - 01_05.mp423.4MB
7. Regression Models/05 - Whole lectures/06 - 01_06/5 - 6 - 01_06.mp428.65MB
7. Regression Models/05 - Whole lectures/07 - 02_01/5 - 7 - 02_01.mp444.43MB
7. Regression Models/05 - Whole lectures/08 - 02_02/5 - 8 - 02_02.mp488.78MB
7. Regression Models/05 - Whole lectures/09 - 02_03/5 - 9 - 02_03.mp421.69MB
7. Regression Models/05 - Whole lectures/10 - 02_04/5 - 10 - 02_04.mp421.99MB
7. Regression Models/05 - Whole lectures/11 - 02_05/5 - 11 - 02_05.mp433.52MB
7. Regression Models/05 - Whole lectures/12 - 03_01/5 - 12 - 03_01.mp420.17MB
7. Regression Models/05 - Whole lectures/13 - 03_02/5 - 13 - 03_02.mp441.85MB
7. Regression Models/05 - Whole lectures/14 - 03_03/5 - 14 - 03_03.mp443.47MB
7. Regression Models/05 - Whole lectures/15 - 03_04/5 - 15 - 03_04.mp422.75MB
7. Regression Models/05 - Whole lectures/16 - 01_07/5 - 16 - 01_07.mp436.98MB
7. Regression Models/06 - Little extra videos/01 - Really, really quick intro to knitr/7 - 1 - Really, really quick intro to knitr.mp46.17MB
7. Regression Models/07 - Newly Recorded Video Lectures/01 - 01_01 Introduction and Least Squares/8 - 1 - 01_01 Introduction and Least Squares.mp441.34MB
7. Regression Models/07 - Newly Recorded Video Lectures/02 - 01_02 Basic notation/8 - 2 - 01_02 Basic notation.mp413.27MB
7. Regression Models/07 - Newly Recorded Video Lectures/03 - 01_03 Least Squares/8 - 3 - 01_03 Least Squares.mp438.66MB
7. Regression Models/07 - Newly Recorded Video Lectures/04 - 01_04 Regression to the Mean/8 - 4 - 01_04 Regression to the Mean.mp419.88MB
7. Regression Models/07 - Newly Recorded Video Lectures/05 - 01_05 Statistical linear regression models/8 - 5 - 01_05 Statistical linear regression models.mp428.77MB
7. Regression Models/07 - Newly Recorded Video Lectures/06 - 02_01 Multivariate statistical models/8 - 6 - 02_01 Multivariate statistical models.mp453.51MB
7. Regression Models/07 - Newly Recorded Video Lectures/07 - 02_02 Multivariate examples/8 - 7 - 02_02 Multivariate examples.mp497.95MB
8. Practical Machine Learning/01 - Week 1/01 - Prediction motivation (8-26)/1 - 1 - Prediction motivation (826).mp410.49MB
8. Practical Machine Learning/01 - Week 1/02 - What is prediction (8-39)/1 - 2 - What is prediction (839).mp410.98MB
8. Practical Machine Learning/01 - Week 1/03 - Relative importance of steps (9-45)/1 - 3 - Relative importance of steps (945).mp412.31MB
8. Practical Machine Learning/01 - Week 1/04 - In and out of sample errors (6-57)/1 - 4 - In and out of sample errors (657).mp48.67MB
8. Practical Machine Learning/01 - Week 1/05 - Prediction study design (9-05)/1 - 5 - Prediction study design (905).mp411.13MB
8. Practical Machine Learning/01 - Week 1/06 - Types of errors (10-35)/1 - 6 - Types of errors (1035).mp413.87MB
8. Practical Machine Learning/01 - Week 1/07 - Receiver Operating Characteristic (5-03)/1 - 7 - Receiver Operating Characteristic (503).mp46.07MB
8. Practical Machine Learning/01 - Week 1/08 - Cross validation (8-20)/1 - 8 - Cross validation (820).mp410.1MB
8. Practical Machine Learning/01 - Week 1/09 - What data should you use (6-01)/1 - 9 - What data should you use (601).mp47.77MB
8. Practical Machine Learning/02 - Week 2/01 - Caret package (6-16)/2 - 1 - Caret package (616).mp48.23MB
8. Practical Machine Learning/02 - Week 2/02 - Data slicing (5-40)/2 - 2 - Data slicing (540).mp47MB
8. Practical Machine Learning/02 - Week 2/03 - Training options (7-15)/2 - 3 - Training options (715).mp49.01MB
8. Practical Machine Learning/02 - Week 2/04 - Plotting predictors (10-39)/2 - 4 - Plotting predictors (1039).mp414.21MB
8. Practical Machine Learning/02 - Week 2/05 - Basic preprocessing (10-52)/2 - 5 - Basic preprocessing (1052).mp413.6MB
8. Practical Machine Learning/02 - Week 2/06 - Covariate creation (17-31)/2 - 6 - Covariate creation (1731).mp422.77MB
8. Practical Machine Learning/02 - Week 2/07 - Preprocessing with principal components analysis (14-07)/2 - 7 - Preprocessing with principal components analysis (1407).mp417.4MB
8. Practical Machine Learning/02 - Week 2/08 - Predicting with Regression (12-22)/2 - 8 - Predicting with Regression (1222).mp415.8MB
8. Practical Machine Learning/02 - Week 2/09 - Predicting with Regression Multiple Covariates (11-12)/2 - 9 - Predicting with Regression Multiple Covariates (1112).mp414.5MB
8. Practical Machine Learning/03 - Week 3/01 - Predicting with trees (12-51)/3 - 1 - Predicting with trees (1251).mp416.18MB
8. Practical Machine Learning/03 - Week 3/02 - Bagging (9-13)/3 - 2 - Bagging (913).mp411.45MB
8. Practical Machine Learning/03 - Week 3/03 - Random Forests (6-49)/3 - 3 - Random Forests (649).mp48.73MB
8. Practical Machine Learning/03 - Week 3/04 - Boosting (7-08)/3 - 4 - Boosting (708).mp49.07MB
8. Practical Machine Learning/03 - Week 3/05 - Model Based Prediction (11-39)/3 - 5 - Model Based Prediction (1139).mp414.55MB
8. Practical Machine Learning/04 - Week 4/01 - Regularized regression (13-20)/4 - 1 - Regularized regression (1320).mp416.76MB
8. Practical Machine Learning/04 - Week 4/02 - Combining predictors (7-11)/4 - 2 - Combining predictors (711).mp49.31MB
8. Practical Machine Learning/04 - Week 4/03 - Forecasting/4 - 3 - Forecasting.mp410.6MB
8. Practical Machine Learning/04 - Week 4/04 - Unsupervised Prediction (4-24)/4 - 4 - Unsupervised Prediction (424).mp45.4MB
9. Developing Data Products/01 - Week 1/01 - Introduction to Data Products (1-05)/2 - 1 - Introduction to Data Products (105).mp41.37MB
9. Developing Data Products/01 - Week 1/02 - Motivating Shiny (1-49)/2 - 2 - Motivating Shiny (149).mp43.4MB
9. Developing Data Products/01 - Week 1/03 - Shiny 1 Introduction to Shiny (8-36)/2 - 3 - Shiny 1 Introduction to Shiny (836).mp410.89MB
9. Developing Data Products/01 - Week 1/04 - Shiny 2 basic html and getting input (4-56)/2 - 4 - Shiny 2 basic html and getting input (456).mp45.98MB
9. Developing Data Products/01 - Week 1/05 - Shiny 3 Creating a very basic prediction function (4-12)/2 - 5 - Shiny 3 Creating a very basic prediction function (412).mp45.07MB
9. Developing Data Products/01 - Week 1/06 - Shiny 4 Working with images (2-39)/2 - 6 - Shiny 4 Working with images (239).mp43.17MB
9. Developing Data Products/01 - Week 1/07 - Shiny 5 Discussion (4-48)/2 - 7 - Shiny 5 Discussion (448).mp46.51MB
9. Developing Data Products/01 - Week 1/08 - More advanced shiny discussion, reactivity (9-30)/2 - 8 - More advanced shiny discussion, reactivity (930).mp412.55MB
9. Developing Data Products/01 - Week 1/09 - More advanced shiny, the reactive function (5-50)/2 - 9 - More advanced shiny, the reactive function (550).mp46.82MB
9. Developing Data Products/01 - Week 1/10 - More advanced shiny, conditional execution of reactive statements (4-16)/2 - 10 - More advanced shiny, conditional execution of reactive statements (416).mp45.42MB
9. Developing Data Products/01 - Week 1/11 - More advanced shiny, odds and ends (4-55)/2 - 11 - More advanced shiny, odds and ends (455).mp46.32MB
9. Developing Data Products/01 - Week 1/12 - Manipulate (4-49)/2 - 12 - Manipulate (449).mp46.12MB
9. Developing Data Products/01 - Week 1/13 - Intro to rCharts and GoogleVis (1-01)/2 - 13 - Intro to rCharts and GoogleVis (101).mp41.94MB
9. Developing Data Products/01 - Week 1/14 - rCharts introduction (4-45)/2 - 14 - rCharts introduction (445).mp45.83MB
9. Developing Data Products/01 - Week 1/15 - rCharts more examples (5-40)/2 - 15 - rCharts more examples (540).mp47.58MB
9. Developing Data Products/01 - Week 1/16 - rCharts mapping and discussion (5-32)/2 - 16 - rCharts mapping and discussion (532).mp48.44MB
9. Developing Data Products/01 - Week 1/17 - GoogleVis (9-34)/2 - 17 - GoogleVis (934).mp412.45MB
9. Developing Data Products/01 - Week 1/18 - shinyApps.io/2 - 18 - shinyApps.io.mp45.85MB
9. Developing Data Products/01 - Week 1/19 - plotly/2 - 19 - plotly.mp413.36MB
9. Developing Data Products/02 - Week 2/01 - Presenting Data Analysis Writing a Data Report (3-18)/3 - 1 - Presenting Data Analysis Writing a Data Report (318).mp47.35MB
9. Developing Data Products/02 - Week 2/02 - Slidify intro (5-32)/3 - 2 - Slidify intro (532).mp47.19MB
9. Developing Data Products/02 - Week 2/03 - Slidify working it out (2-01)/3 - 3 - Slidify working it out (201).mp43.37MB
9. Developing Data Products/02 - Week 2/04 - Slidify customization (4-09)/3 - 4 - Slidify customization (409).mp45.5MB
9. Developing Data Products/02 - Week 2/05 - Slidify more details (7-24)/3 - 5 - Slidify more details (724).mp49.29MB
9. Developing Data Products/02 - Week 2/06 - Slidify reminder about knitting R (1-52)/3 - 6 - Slidify reminder about knitting R (152).mp43.33MB
9. Developing Data Products/02 - Week 2/07 - RStudio Presenter 1 Introduction and getting started (4-59)/3 - 7 - RStudio Presenter 1 Introduction and getting started (459).mp48.61MB
9. Developing Data Products/02 - Week 2/08 - RStudio Presenter 2 Authoring details (11-14)/3 - 8 - RStudio Presenter 2 Authoring details (1114).mp417.63MB
9. Developing Data Products/02 - Week 2/09 - RStudio Presenter 3 Discussion and comparison with Slidify (4-13)/3 - 9 - RStudio Presenter 3 Discussion and comparison with Slidify (413).mp45.75MB
9. Developing Data Products/02 - Week 2/10 - Very quick introduction to gh-pages/3 - 10 - Very quick introduction to gh-pages.mp410.07MB
9. Developing Data Products/03 - Week 4/01 - R Packages (Part 1) (7-11)/4 - 1 - R Packages (Part 1) (711).mp49.07MB
9. Developing Data Products/03 - Week 4/02 - R Packages (Part 2) (14-59)/4 - 2 - R Packages (Part 2) (1459).mp417.1MB
9. Developing Data Products/03 - Week 4/03 - Building R Packages Demo (18-00)/4 - 3 - Building R Packages Demo (1800).mp431.99MB
9. Developing Data Products/03 - Week 4/04 - R Classes and Methods (Part 1) (13-50)/4 - 4 - R Classes and Methods (Part 1) (1350).mp418.12MB
9. Developing Data Products/03 - Week 4/05 - R Classes and Methods (Part 2) (11-19)/4 - 5 - R Classes and Methods (Part 2) (1119).mp413.28MB
9. Developing Data Products/03 - Week 4/06 - yhat (Part 1) (24-39)/4 - 6 - yhat (Part 1) (2439).mp440.06MB
9. Developing Data Products/03 - Week 4/07 - yhat (Part 2) (11-38)/4 - 7 - yhat (Part 2) (1138).mp421.23MB
9. Developing Data Products/04 - Whole lectures/01 - Shiny/5 - 1 - Shiny.mp436.87MB
9. Developing Data Products/04 - Whole lectures/02 - shiny2/5 - 2 - shiny2.mp431.12MB
9. Developing Data Products/04 - Whole lectures/03 - Slidify/5 - 3 - Slidify.mp428.68MB
9. Developing Data Products/04 - Whole lectures/04 - R Studio Presenter/5 - 4 - R Studio Presenter.mp431.94MB
9. Developing Data Products/04 - Whole lectures/05 - Manipulate/5 - 5 - Manipulate.mp46.12MB
9. Developing Data Products/04 - Whole lectures/06 - rCharts/5 - 6 - rCharts.mp421.78MB
9. Developing Data Products/04 - Whole lectures/07 - plotly/5 - 7 - plotly.mp413.36MB
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