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| # Stat GU4243/GR5243 Applied Data Science | ||
| ### Fall 2020 - Teaching Materials ([Syllabus](/CourseInfo/G5243_ADS.md)) | ||
| ### Spring 2021 - Teaching Materials ([Syllabus](/CourseInfo/G5243_ADS.md)) | ||
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| ##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) | ||
| ---- | ||
| ### Project cycle 1: (Individual) R notebook for exploratory data analysis | ||
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| <!-- | ||
| ([starter codes](Projects_StarterCodes/Project1-RNotebook)) | ||
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| #### Week 1 (Sep 9) | ||
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| --> | ||
| #### Week 1 (Jan 13) | ||
| <!-- | ||
| + [Introduction to ADS](Tutorials/wk1-Intro.pdf) | ||
| + [Project 1 description](Projects_StarterCodes/Project1-RNotebook/doc/Proj1_desc.md) | ||
| + [Overview of starter codes](Projects_StarterCodes/Project1-RNotebook) | ||
| + [Tutorial 1 R Notebook](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk1-RNotebook/wk1-rnotebook.html) + Example: [Repo](https://github.com/TZstatsADS/Fall2018-Proj1-wanghouyaoleyao) | [Knitted HTML R Notebook](http://tzstatsads.github.io/tutorials/proj1_jiaqianyu.html) | [Presentation](https://www.youtube.com/watch?v=tBIuh_tZ98Q&feature=youtu.be) + More Examples: [Repo1](https://github.com/TZstatsADS/Spring2020-Project1-petkunm), [Repo2](https://github.com/TZstatsADS/Spring2020-Project1-zhangzhiyuan233) | ||
| + [A tutorial on GitHub](Tutorials/wk1-GitHub_simplified) | ||
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| #### Week 2 (Sep 16) | ||
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| --> | ||
| #### Week 2 (Jan 20) | ||
| <!-- | ||
| + Recap on last week | ||
| + Submission and presentation for project 1 | ||
| + Discussion and Q&A | ||
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| #### Week 3 (Sep 23) | ||
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| --> | ||
| #### Week 3 (Jan 27) | ||
| <!-- | ||
| + Project 1 presentations. | ||
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| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2020-project1&type=&language=) | ||
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| --> | ||
| <!-- | ||
| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2021-project1&type=&language=) | ||
| --> | ||
| ---- | ||
| ##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) | ||
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| ### Project cycle 2: Shiny App Development | ||
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| <!-- | ||
| ([starter codes](Projects_StarterCodes/Project2-ShinyApp)) | ||
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| #### Week 3 (Sep 23) | ||
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| --> | ||
| #### Week 3 (Jan 27) | ||
| <!-- | ||
| + [Project 2](Projects_StarterCodes/Project2-ShinyApp) starts. | ||
| + Check Piazza for your project team and *GitHub join link*. | ||
| + After you join project 2, you can **clone** your team's GitHub repo to your local computer. | ||
| + You can find in the *starter codes* | ||
| + the project description, | ||
| + an example **toy** shiny app | ||
| + a short tutorial to get you started. | ||
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| #### Week 4 (Sep 30) | ||
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| --> | ||
| #### Week 4 (Feb 3) | ||
| <!-- | ||
| + [Spatial data visualization](Tutorials/wk4-DataVis.pdf) | ||
| + Tutorial on project 2 - [Introduction to shiny app](http://tzstatsads.github.io/tutorials/wk3_Tutorial2.html) ([app](Projects_StarterCodes/Project2-ShinyApp/app/)) | ||
| + Shiny Tutorial ([zipped folder](Tutorials/wk4-Shiny_tutorial.zip)) ([online link](https://chengliangtang.shinyapps.io/shiny_tutorial_2017fall/)) | ||
| + Shiny Examples from previous semesters (Example 1: [Online](https://grac4ie.shinyapps.io/NYCshooting/), [Repo](https://github.com/TZstatsADS/fall2019-proj2--sec2-grp10); Example 2: [Online](https://rrl525.shinyapps.io/NYC-Government-Job/), [Repo](https://github.com/TZstatsADS/Spring2020-Project2-group-9)) | ||
| + [A note on contribution](Projects_StarterCodes/Project2-ShinyApp/doc/a_note_on_contributions.md) | ||
| + Discussion and Q&A | ||
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| #### Week 5 (Oct 7) | ||
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| --> | ||
| #### Week 5 (Feb 10) | ||
| <!-- | ||
| + [Tutorial on SQL in R](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-SQL%2BGCP/sql.html)([zipped folder](https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-sql.zip)) | ||
| + [Tutorial on RShiny Deployment in GCP](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk5-SQL%2BGCP/Rshiny_GCP.html) | ||
| + [Tutorial on giving presentations](Tutorials/MakingPresentation.pdf) | ||
| + Brainstorm or Discussion on project 2 | ||
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| #### Week 6 (Oct 14) | ||
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| --> | ||
| #### Week 6 (Feb 17) | ||
| <!-- | ||
| + Project 2 presentations | ||
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| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2020-Project2&type=&language=) | ||
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| --> | ||
| <!-- | ||
| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2021-Project2&type=&language=) | ||
| --> | ||
| ---- | ||
| ##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) | ||
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| ### Project cycle 3: Predictive Modeling | ||
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| <!-- | ||
| ([starter codes](Projects_StarterCodes/Project3-ImbalancedClassification)) | ||
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| #### Week 6 (Oct 14) | ||
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| --> | ||
| #### Week 6 (Feb 17) | ||
| <!-- | ||
| + [Project 3](Projects_StarterCodes/Project3-ImbalancedClassification/doc/project3_desc.md) starts. | ||
| + Check Piazza for your project team and GitHub join link. | ||
| + After you join project 3, you can **clone** your team's GitHub repo to your local computer. | ||
| + You can find in the *starter codes* | ||
| + [Intro to Project 3](Projects_StarterCodes/Project3-ImbalancedClassification/doc/project3_desc.md) ([motivation](https://www.google.com/search?q=AI+cat+as+dog&sxsrf=ACYBGNRZNs6rZMCtrwrwPz_o0NXRQaOa6g:1571330905449&source=lnms&tbm=isch&sa=X&ved=0ahUKEwj7g8bj36PlAhUDVt8KHUHAANIQ_AUIEigB&biw=1517&bih=735#imgrc=inZcVvOGHsI6ZM)) | ||
| + an example `main.rmd` that provides an example structure for this project. [Example `main.Rmd`](Projects_StarterCodes/Project3-ImbalancedClassification/doc/main.Rmd) | ||
| --> | ||
| #### Spring Break | ||
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| #### Week 7 (Oct 21) | ||
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| #### Week 7 (Feb 24) | ||
| <!-- | ||
| + Recap on [project 3 requirements](Projects_StarterCodes/Project3-ImbalancedClassification/doc/project3_desc.md) and [starter codes](Projects_StarterCodes/Project3-ImbalancedClassification/). | ||
| + Tutorials + Q&A | ||
| + Tutorials: [Basic Image Analysis](https://htmlpreview.github.io/?https://github.com/TZstatsADS/ADS_Teaching/blob/master/Tutorials/wk7-imageanalysis.html) ([zipped folder](Tutorials/wk7-ImageAnalysis.zip)) + [Fiducial Detection](Tutorials/wk7-FiducialDetection.pdf) | ||
| + Tutorial on [gradient boosting machines (GBM)](Tutorials/wk8-GBM_tutorial.pdf) | ||
| + [A shiny app on GBM](https://tz33cu.shinyapps.io/Tutorial7-GBM/) [[R codes](https://github.com/tz33cu/Data-Science-with-R/tree/master/Tutorials/Tutorial7-GBM)] | ||
| + [Overview on Imbalanced Classification](Tutorials/wk7-Imbalanced_Classification_Overview.pdf) | ||
| #### Week 8 (Oct 28) | ||
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| --> | ||
| #### Week 8 (Mar 10) | ||
| <!-- | ||
| + [Overview on predictive modeling](Tutorials/wk8-TutorialModelSelection.pdf) | ||
| + Project submission checklist (on piazza) | ||
| + Discussion | ||
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| #### Week 9 (Nov 4) | ||
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| --> | ||
| #### Week 9 (Mar 17) | ||
| <!-- | ||
| + Project 3 submission and presentations | ||
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| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2020-project3&type=&language=) | ||
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| --> | ||
| <!-- | ||
| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2021-project3&type=&language=) | ||
| --> | ||
| ---- | ||
| ##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | ||
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| ### Project cycle 4: Algorithm implementation and evaluation | ||
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| <!-- | ||
| ([starter codes](Projects_StarterCodes/Project4-CausalInference)) | ||
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| #### Week 9 (Nov 4) | ||
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| --> | ||
| #### Week 9 (Mar 17) | ||
| <!-- | ||
| + Introduction to [Project 4](Projects_StarterCodes/Project4-CausalInference/doc/project4_desc.md) | ||
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| #### Weeks 10 (Nov 11) | ||
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| --> | ||
| #### Weeks 10 (Mar 24) | ||
| <!-- | ||
| + Recap on project 4 requirements. | ||
| + Overview of Causal Inference | ||
| + [Overview of the Methods from the reference papers](Tutorials/wk10-overview-casual-inference-methods.pdf). | ||
| + [Method assignment](Tutorials/wk9-Proj4_pairings_2020_Fall.pdf). | ||
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| #### Weeks 11 (Nov 18) | ||
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| --> | ||
| #### Weeks 11 (Mar 31) | ||
| <!-- | ||
| + Q&A | ||
| + Team Meeting | ||
| --> | ||
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| #### Thanksgiving Break | ||
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| #### Weeks 12 (Dec 2) | ||
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| #### Weeks 12 (Apr 7) | ||
| <!-- | ||
| + Project 4 presentations | ||
| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2020-project4&type=&language=) | ||
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| <!-- | ||
| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2021-project4&type=&language=) | ||
| --> | ||
| ---- | ||
| ### Project cycle 5: | ||
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| #### Weeks 12 (Dec 2) | ||
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| #### Weeks 12 (Apr 7) | ||
| <!-- | ||
| + Project 5 discussions | ||
| + [Project 3 Summary](/Tutorials/wk12-project3_summary.pdf) | ||
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| #### Week 13 (Dec 9) | ||
| --> | ||
| #### Week 13 (Apr 14) | ||
| <!-- | ||
| + Project 5 discussions | ||
| --> | ||
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| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Fall2020-project5&type=&language=) | ||
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| <!-- | ||
| [Finished student projects](https://github.com/TZstatsADS?utf8=✓&q=Spring2021-project5&type=&language=) | ||
| --> | ||
| ##### Shortcuts: [Project 1](#project-cycle-1-individual-r-notebook-for-exploratory-data-analysis) | [Project 2](#project-cycle-2-shiny-app-development) | [Project 3](#project-cycle-3-predictive-modeling) | [Project 4](#project-cycle-4-algorithm-implementation-and-evaluation) |