Data and Analytics Learning

We will be offering very exciting set of training opportunities in data and computing sciences Tufts Initiative for Data and Analytics Learning (TIDAL), with contributions from several units – TTS and Data Lab, CTSI and many others promised. All courses are available to Tufts faculty, staff and students. These skills are increasingly essential in most fields of study and we hope that you will be able to take advantage of these during this enforced break to enhance your skills and improve your productivity.

Registration: We request you to register for classes you intend to attend and only the classes you intend to attend. The classes are being offered at no cost to you or your unit though please make appropriate arrangements with your supervisors as needed. 

Instruction Format: Classes will be all “zoomed” – some will be live taught while others will be asynchronous with video materials and instruction support with TA like support and Office hours.

All classes will be coordinated and supported by DISC. If you have any questions, or inquiries and suggestions about future class offerings, please contact disc@tufts.edu.

 

If you wish to subscribe to our e-list for updates, upcoming DISC events and workshops, please click here.

 

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The Challenges of Fairness in Machine Learning | Offering Unit: DISC

Instructor: Bert Huang | Zoom access | Date: October 13-19 | 1pm-4pm 

This course will introduce students to the challenges of fairness when applying machine learning and some of the research aimed at addressing these challenges.

Prerequisites: Students should have previously studied machine learning.

REGISTER

 

 

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The Challenges of Fairness in Machine Learning | Offering Unit: DISC

Instructor: Bert Huang | Zoom access | Date: October 26-30 | 1pm-4pm 

This course will introduce students to the challenges of fairness when applying machine learning and some of the research aimed at addressing these challenges.

Prerequisites: Students should have previously studied machine learning.

register
 

 

 

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From Basic Modeling to Deep Learning in PyTorch | Offering Unit: DISC

Instructor: Bert Huang | Zoom access | Date: November 16-20

This course will introduce students to the PyTorch deep learning software library, starting from implementing basic machine learning models and leading to implementing cutting-edge deep learning methods—all in the same highly flexible software framework. 

Prerequisites: Students should be comfortable with Python programming and basic data science concepts.

REGISTER

 

Previously offered workshops: 

 

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Research Database Creation: Basics and Best Practices | Offering Unit: CTSI | Part 1 of 3. 

 

 

 

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Research Database Creation: Building a REDCap Database | Offering Unit: CTSI | Part 2 of 3

 

 

 

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A Gentle Introduction to R | Offering Unit: TTS Research Technology & the Data Lab

 

 

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Introduction to Web Mapping using ArcGIS Online | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Research Database Creation: Advanced REDCap Features | Offering Unit: CTSI | Part 3 of 3. 

 

 

 

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Statistics in R: Intermediate Level Survey Analysis | Offering Unit: TTS Research Technology  & the Data Labs

 

 

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StoryMaps: Not your Average Presentation | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Building Interactive Visualizations in Tableau |Offering Unit: TTS Research Technology & the Data Labs

 

 

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Data Visualization in R | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Introduction to Geneious Software for Bioinformatics Topics | Offering Unit: TTS Research Technology & the Data Labs

 

 

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Introduction to Linux | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Introduction to Ingenuity Pathway Analysis for Omics Data | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Introduction to NVivo | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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A Gentle Introduction to Python | Offering Unit: TTS Research Technology & the Data Labs

 

 

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Introduction to Tufts High Performance Compute (HPC) Cluster | Offering Unit: TTS Research Technology & the Data Labs

 

 

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Text Processing with NLTK | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Research Poster Design: Tips and Tricks | Offering Unit: TTS Research Technology & the Data Labs 

 

 

 

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Sentiment Analysis | Offering Unit: TTS Research Technology & the Data Labs 

 

 

 

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Web Scraping with Python | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Introduction to NGS Bioinformatics | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Python for Data Analysis and Visualization  | Offering Unit: TTS Research Technology & the Data Labs 

 

 

 

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Intro to GIS using ArcGIS Pro | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Intro to GIS using QGIS | Offering Unit: TTS Research Technology & the Data Labs

  

 

 

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Python for Data Analytics Boot Camp | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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 Bioinformatics for RNAseq | Offering Unit: TTS Research Technology & the Data Labs & DISC

 

 

 

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Python for Data Analytics Boot Camp | Offering Unit: TTS Research Technology & the Data Labs

 

 

 

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Which Statistical Test Should I Use? | Offering Unit: CTSI

 

 

 

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Matrices and Machine Learning | Offering Unit: DISC 

 

 

 

 

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Version control for researchers with Git and GitHub | Offering Unit: DISC

 

 

 

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Creating web apps for interactive data visualization with R Shiny | Offering Unit: DISC

 

 

 

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Probability for Machine Learning  | Offering Unit: DISC