MOOC and Online Learning Platforms/Courses:
- Coursera: Take the World’s Best Online Courses, Online
- Data Camp: Learn R, Python, SQL & Data Science Online
- EdX: Free Online Courses from the World Best Universities
- Future Learn
- Geek for Geeks: I use this website to learn SQL coding. But this website has several other tutorials about coding which might be helpful.
- Iversity
- LinkedIn Learning
- Microsoft Access Tutorials
- MOOC
- UN Climate Change eLarn: Learning Partnership: Think, Talk, Act Climate
- RemotePilot101.Com: Drone Pilot Exam Preparation Courses and Classes
- w3Schools Online Web tutorials: World Largest Web Developer Site
- W3 Resources: Web development tutorials.
- Wetland Blog, The: Wading through wetlands, GIS and R.
- Guide to Grammer and Writing for People Native Language is Not English
- Udemy: Online Courses – Learn Anything, On Your Schedule | Udemy
- Esri Trainings: Your Location for Lifelong Learning
- QGIS Tutorials
- R Graph Gallery
- Saga GIS Tutorials
- Stata Blog: Check this blog for Stata Tutorials. They have so many tutorials available to analyze new data and recent trends.
- National Ecological Observatory Network (NEON) Sponsored by the National Science Foundation (Go to resources of this website. There are several tutorials from the diverse field which might be useful.)
- Udacity: The website claims that Udacity is the world’s fastest, most efficient way to master the skills tech companies want. 100% online, part-time & self-paced.
R Based Resources:
- Advanced R
- Applied R
- Empirical Research in Economics: Growing up with R
- Fundamentals of Data Visualization
- Keyboard Shortcuts R
- Learn R: R learning path and workflow from scratch to finish.
- Mastering Shiny
- The R Manuals from R CRAN
- University of California Riverside, Institute for Integrative Genome Biology Manuals. This website has several manuals, workshops and several other resources needed to learn R especially for Bio-infomatics.
- Quick R
- R Bloggers (750 R Bloggers Contributions)
- R Coders
- R-tools40 in Window: build and maintain R itself as well as system libraries needed by R packages on Windows.
- Stan: Stan is a state-of-the-art platform for statistical modeling and high-performance statistical computation. Thousands of users rely on Stan for statistical modeling, data analysis, and prediction in the social, biological, and physical sciences, engineering, and business.
- Tutorial Kit
Books and Tutorials for Data Science and Machine Learning [R, Python, SAS, STATA, SPSS, Github]:
- A very short course on Time Series
- Advanced Statistics and Machine Learning, Tutorial in R
- Applied Time Series Analysis (R). Also visit Statistical Forecasting: Regression and Time Series Analysis from Duke University for theoretical background.
- Bayesian Statistics with STAN, R Tutorial
- Data Visualization with R
- Dive into Deep Learning (using Jupyter Lab and notebook)
- Econometric Analysis of Cross Sectional and Panal Data, Jeffery Wooldridge
- Forecasting: Principles and Practice, Second Edition: Time series analysis and forecasting. This book is written by Rob J Hyndman and George Athanasopoulos, Monash University, Australia.
- Geo-computation With R
- GGPLOT2 Tutorial
- Git: Learn about Github. Also, read GitPro.
- An R Introduction to Statistics: R Tutorials
- Introduction to Econometrics using R
- Introduction to R for Natural Resource Scientists
- Machine Learning in R, In depth introduction (15 hours of videos). Also see Elements of Statistical Learning (Book) and Introduction to Statistical Learning (ISLR) (Book), ISLR in Python and Julia. ISLR Second edition is also available.
- Machine Learning for Beginner by Micorosoft and Github Repository
- Machine Learning with Graphs, Stanford University CS224W Course Materials.
- Mastering Shiny (with R)
- Non-market Valuation with R
- R-Econ Visual Library
- R-Statistics Blog
- R Tutor
- R for Data Science
- R Graphics Codebook
- R Graph Gallery, The
- R Markdown: The Definitive Guide
- Research Method and Statical Analysis
- RSpatialData: Collection of data source and tutorials on visualization spatial data in R
- Spatial Analysis in R, Fundamentals of
- Statistics and Population by German Rodriguez
- Statistical Inference via Data Science
- Structural Equation Modeling in R for Ecology and Evolution
- Text Mining with R
- Wetland Blog, The: Wading through wetlands, GIS and R.
- YaRrr! The Pyrates Guide to R: A/c to the book website, the purpose of this book is to help you learn R from the ground-up.
STATA Based Resources and Tutorials:
- asdoc: This is the most flexible and easy Stata command for exporting any result output from Stata directly into .doc file. This command can export in .docx and .doc formats. However .docx format file is not compatible with Microsoft word document in Mac. so I recommend generating .doc file. However, .docx is compatible with LibreOffice in Mac as well. asdoc and esttab are two packages that almost can output any Stata results in word and excel file. Also check estout for Making regression table in Stata.
- GLMAMM from gllamm.org: The programs
gllamm,gllapredandgllasimwork in Stata 7, 8, 9, 10, 11, and 12 (Intercooled, SE, and MP) but are fastest from Stata 8.gllammis even faster using Stata/MP which runs in parallel on multiple processors. - Reporting from Stata: This sites hosts Stata packages and commands such as coefplot (plotting regression coefficient and other estimates in Stata), estout (Making regression table in Stata), grstyle (customizing stata graphs made easy), palettes (color palettes, symbol palettes and line pattern palettes for Stata graphics), texdoc (Creating LaTex documents from within Stata), webdoc (Creating HTML or Markdown documents from within Stata). This program is written by Dr. Ben Jann, University Bern. Comprehensive list of Stata programs developed by Dr. Ben Jann is here.
- STATA, Data Analysis with
- STATA List: The Stata Forum
- STATA, UCLA
- STATA Professor
- STATA Video Tutorials
- Stata Visual Library
- STATA Youtube Channel
- WebDoc: Create HTML or Markdown document in Stata
SAS Based Resources and Tutorials:
- SAS Webinar
- SAS Certification Program:
- SAS Global Certification Program: This page has several SAS certification programs available on their website. Visit FAQs for more details.
- SAS Base Programming Certification Program: One of the SAS Foundational Certification Program.
- Six tips to prepare for SAS programming certification
- SAS Global Certification Program: This page has several SAS certification programs available on their website. Visit FAQs for more details.
- Structural Equation Modeling in SAS
Links to Other Tutorials:
- Data Analytics: This link contains several resources from and beyond the world bank for data analytics.
- Data science tools for research (R, STATA, Python, SAS, SPSS, MPlus, NVivo. Also Check Social Science Computing Cooperative (SSCC) Website
- Data Science, Purdue University
- Earth Lab Data Intensive Tutorials: More resources can be found on Earth Data Science.
- Easy Excel: #1 Excel Tutorials (claimed) on Net
- EndNote Tutorials
- Google Guide: Interactive Online Google Tutorial and References
- LaTex: A guide to using LaTeX document preparation software by Penn State University
- LaTex Tutorial: LaTeX-Tutorial provides step-by-step lessons to learn how to use LaTeX in no time. It allows you to start creating beautiful documents for your reports, books, and papers through easy and simple tutorials.
- Learning Lab Pro: Resource for analyses and cutting-edge technology in a focused course format.
- Matlab and Simulink Training
- Python Tutorials, The
- QuantEcon: Open source code for economic modeling.
- STHDTA: Statistical Tool for High-throughput data analysis
- Saga GIS Tutorials
- SQL and Microsoft Access Queries
GIS and Remote Sensing Related Tutorials and Learning Resources:
- Glossaries and Dictionaries:
- National Geospatial Technology Center of Excellence (National GeoTech Center)
- ESRI GIS Dictionary
- LOJIC Glossary
- LANDSAT 8 Data User Handbook Website Version
- Online Courses and Training Videos and Reading Materials:
- Tutorials (Remote Sensing):
- Certificates:
Bijesh Mishra, Ph.D. 