A list of free trainings available to SCINet users sorted by topic. This is not an exhaustive list, but may help you get started.
We also have instructions on how to access the various learning platforms.
Free Online Computational Training Resources
Python Programming
R Programming
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| SCINet: R Programming Collection | AgLearn/LinkedIn | 1-3 hrs/course |
| Introduction to R Programming | AgLearn/Skillsoft | ~2.5 hrs |
| Debugging in R | AgLearn/Skillsoft | 1 hr |
| Programming Techniques in R | AgLearn/Skillsoft | ~2 hrs |
| Domain-Specific Tools in R | AgLearn/Skillsoft | ~1 hr |
| R for Data Science: Data Structures | AgLearn/Skillsoft | 1 hr |
| R for Data Science: Importing and Exporting Data | AgLearn/Skillsoft | 1 hr |
| R for Data Science: Data Exploration | AgLearn/Skillsoft | 1 hr |
| R for Data Science: Regression Methods | AgLearn/Skillsoft | 1 hr |
| R for Data Science: Classification & Clustering | AgLearn/Skillsoft | 1 hr |
| R for Data Science: Data Visualization | AgLearn/Skillsoft | 1 hr |
| Advanced R Programming | Coursera | 12 hrs |
| Data Science Specialization | Coursera | 8 mo; 6 hrs/wk |
| Data Science: R Basics | EdX | 8 wks; 1-2 hrs/wk |
| R Tutorial | Kelly Black, UGA Dept of Mathematics, cyclismo.org | 2+ hrs |
| Intro and Advanced R Tutorials | W.B. King, Coastal Carolina Univ., coastal.edu | 2+ hrs |
| R Basics Tutorials | Coding Club | varies |
| Learn R and Data Science Interactively with swirl | swirlstats | varies |
SAS Programming and JMP
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| SAS e-learning (Webinars, Academic Software, and How-to Videos | sas.com | varies |
| How-to SAS video tutorials | sas.com | 5–10 min videos |
| SAS Programming 1: Essentials | sas.com | 14 hrs |
| Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression | sas.com | 21 hrs |
| SAS Programming for R Users | sas.com | 14 hrs |
| SCINet: SAS Programming Collection | AgLearn/LinkedIn | 1-3 hrs/course |
| Statistical thinking for Industrial Problem Solving | jmp.com | 20-30 hrs |
| On-demand Webinars -- Mastering JMP | jmp.com | ≤ 1 hr |
| SAS Base SAS 9 Programming: The SAS environment | AgLearn/Skillsoft | ~2 hrs |
| SAS Base SAS 9 Programming: Introduction to Data Sets | AgLearn/Skillsoft | ~2 hrs |
| SAS Base SAS 9 Programming: Working with Data Sets | AgLearn/Skillsoft | ~2 hrs |
| SAS Base SAS 9 Programming: Creating Reports | AgLearn/Skillsoft | ~2 hrs |
| SAS Base SAS 9 Programming: Inputs and Outputs | AgLearn/Skillsoft | ~2 hrs |
| SAS Base SAS 9 Programming: Data Structures | AgLearn/Skillsoft | ~2 hrs |
MATLAB Programming
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| SCINet: Matlab Learning Pathway | AgLearn/LinkedIn | 4.5hrs |
| Practical Data Science with MATLAB Specialization | Coursera | 2 mo; 10 hrs/wk |
| Exploratory Data Analysis with MATLAB | Coursera | 5 wks; 4 hrs/wk |
| Data Processing and Feature Engineering with MATLAB | Coursera | 26 hrs |
| Predictive Modeling and Machine Learning with MATLAB | Coursera | 4 hrs |
| Data Science Project: MATLAB for the Real World | Coursera | unknown |
General Statistics
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| SCINet: Statistics Collection | AgLearn/LinkedIn | 1-3 hrs/course |
| SCINet Coursera Collection (Scroll down to see full course collection in Statistics) | Coursera | Varies |
| Statistical Learning (using R) | EdX | 9 wks; 3-5 hrs/wk |
| Statistical Predictive Modelling and Applications | EdX | 9 wks; 3-5 hrs/wk |
| Statistical Rethinking: A Bayesian Approach-Connecting Scientific Models to Evidence | Github | 10 wks; 1-3 hrs/wk |
Artificial Intelligence and Machine Learning
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| SCINet: Machine Learning and AICollection | AgLearn/LinkedIn | 1-3 hrs/course |
| Machine Learning & AI Foundations: Recommendations | AgLearn/LinkedIn | ~4 hrs |
| Linear Regression Models: Building Simple Regression Models with Scikit Learn and KerasSCORM package (Python) | AgLearn/Skillsoft | 1 hr |
| SCINet AI-COE Coursera Collection | Coursera | Varies |
| AI for Everyone: Master the Basics | EdX | 4 wks; 1-2 hrs/wk |
| Deep Learning Essentials | EdX | 5 wks; 4-6 hrs/wk |
| Machine Learning with Python: A Practical Introduction | EdX | 5 wks; 4-6 hrs/wk |
| Deep Learning Fundamentals with Keras | EdX | 5 wks; 2-4 hrs/wk |
| Deep Learning with Python and PyTorch | EdX | 6 wks; 2-4 hrs/wk |
| Deep Learning with TensorFlow | EdX | 5 wks; 2-4 hrs/week |
| Using GPUs to Scale and Speed-Up Deep Learning | EdX | 5 wks; 2-4 hrs/wk |
Geospatial
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| ESRI GIS Videos (on many topics including machine learning) | esri.com | varies |
| Fundamentals of GIS | Coursera | 3-5 hrs/4wk |
| GIS Data Formats, Design and Quality | Coursera | 2-3 hrs/4wk |
| Geospatial and Environmental Analysis (GIS) | Coursera | 3-4 hrs/4wk |
| Imagery, Automation, and Applications (GIS) | Coursera | 2-5 hrs/4wk |
| Introduction to GIS Mapping | Coursera | 18 hrs |
| GIS Data Acquisition and Map Design | Coursera | 21 hrs |
| Spatial Analysis and Satellite Imagery in GIS | Coursera | 16 hrs |
| Intro to GEE | Coding Club | varies |
| GEE 101: Intro to GEE for beginners Part 1 | Google Earth Outreach | 1.5 hr |
| GEE 101: Intro to GEE for beginners Part 2 | Google Earth Outreach | 1.5 hr |
| Training Materials from 3 GEE Workshops | GEE tutorials | 2 hrs each |
| Spatial Data Science (R) | Geospatial and Farming Systems Research Consortium (GFC) | varies |
Data Management
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| Data Science Overview | AgLearn/Skillsoft | 1 hr |
| Data Gathering | AgLearn/Skillsoft | ~1.5 hrs |
| Data Filtering | AgLearn/Skillsoft | 1 hr |
| Data Transformation | AgLearn/Skillsoft | 1 hr |
| Data Exploration | AgLearn/Skillsoft | 1 hr |
| Data Integration | AgLearn/Skillsoft | 1 hr |
| Data Analysis Concepts | AgLearn/Skillsoft | ~1.5 hrs |
| Data Classification and Machine Learning | AgLearn/Skillsoft | ~1.5 hrs |
| Data Communication and Visualization | AgLearn/Skillsoft | ~1.5 hrs |
| Data Management Skill Building Hub | DataONE | varies |
| Data Management Plan Guidance | National Agricultural Library | varies |
Bioinformatics
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| Bioconductor Courses and Analysis Tools | bioconductor.org | varies |
| Online Bioinformatics Tutorials from NIH | NIH | varies |
| Bioinformatics On-line Courses and Tutorials | Color Base Pair | varies |
| Bioinformatics Courses | Class Central | varies |
| Bacterial Genomes: From DNA to Protein Function using Bioinformatics Course | Future Learn | 2 wks; 5 hrs/wk; next course starts 4/20 |
| Bacterial Genomes: Accessing and Analysing Microbial Genome Data Course | Future Learn | 3 wks; 5 hrs/wk; next course starts 5/11 |
| Bioinformatics Courses On Edx | EdX | varies |
| Stastics and R (basics for life sciences | EdX | 2-4 hrs/4wk |
Ecological and Earth Sciences
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| Ecological Models and Data in R (book with pdf chapters) | Princeton University Press | varies |
| Data Science for Ecologists and Environmental Scientists Course | Coding Club/The Data Lab | varies |
| ZevRoss Tech Blog (mostly R resources) | ZevRoss | varies |
| Machine Learning and Visualization Tutorials in Python for Earth Science | earthml (NASA) | varies |
Git and GitHub
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| What is Git? (Interactive tutorial) | atlassian.com | 45 min |
| Intro to GitHub for Version Control | Coding Club | varies |
| Setting up a GitHub Repository for Your Lab | Coding Club | varies |
| SCINet: Git and Github Collection | AgLearn/LinkedIn | 1-3 hrs/course |
Reproducibility, Productivity, and Integration Management Tools
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| RStudio | rstudio.com | varies |
| Introducing Jupyter | AgLearn/LinkedIn | ~1 hr |
| Open Source Tools for Data Science | Coursera | 3 wks; 3 hrs/wk |
| Getting Started with R Markdown | Coding Club | varies |
| Learning Markdown | AgLearn/LinkedIn | ~ 1hr |
| Creating Reports and Presentations with R Markdown and RStudio | AgLearn/LinkedIn | ~2.5 hrs |
| EndNote Essential Training | AgLearn/LinkedIn | ~1.5 hrs |
| Coding Etiquette | Coding Club | varies |
| Transferring Quantitative Skills Among Scientists | Coding Club | varies |
| Reproducible Research | Coursera | 11 hrs |
| Work Smarter, Not Harder: Time Management for Personal & Professional Productivity | Coursera | 3 hrs |
| Data Science Productivity Tools | EdX | 1-2 hrs/8wk |
| Unix Tools: Data, Software, and Production Engineering | EdX | 4-6 hrs/6wk |
Database Management
| Course Title/Link | Platform or Site | Time Investment |
|---|---|---|
| Simple Retrieval Queries in MySQL Workbench | Coursera | 1-2 hrs |