As a Ph.D. student and depending on the project, I needed to learn how to work with R, Python, MATLAB and supercomputers. I decided to keep a public record of my learning path, in case it might be useful for younger fellow students:
1- Completed a course on Python at Codeacademy in August 2021.
2- Completed basics of working with MATLAB (MATLAB OnRamp and Optimization OnRamp) at MathWorks in September-October 2021.
3- Completed a course on R at Codeacademy in January 2022.
4- Attended a graduate-level course on Spatial Data Analysis at the IU Geography department in Fall 2022.
5- Completed Basic Unix/Linux Skills at IU in November 2022 (I completed it after the "Introduction to Supercomputing course". But based on the content, I think the correct order must be learning "Basic Unix/Linux Skills" before the Supercomputing one).
6- Completed Introduction to Supercomputing at IU in October 2022.
7- Watched videos about working with supercomputers at Indiana University on its Youtube channel in October-November 2022.
8- Completed Learning Linux Command Line on Linkedin Learning in January 2023.
9- Watched videos on spatial econometrics at the Econometrics Academy in February 2023.
10- Attended a workshop on working with Google Earth Engine at the IU Geography department in May 2023. Find a good reference for this tool here.
11- Completed the first three titles in Quantitative Methods with Julia during June-July 2023.
12- Completed Fundamentals of GIS on Coursera during September-November 2023.
13- Reviewed the lecture notes from two courses API-209 and API-210 on quantitative methods during February-April 2024.
14- Studied chapters 3 and 4 of the 2008 book of Angrist and Pischke, Mostly Harmless Econometrics in May 2024.
15- Learned how to work with multinomial logit models from chapter 3 of Train (2009) and videos of his class during December 2024- January 2025.
16- Learned how to work with the energy prices dataset of the International Energy Agency using their YouTube channel, March-April 2025.
17- Studied Numerical Methods in Economics based on Kenneth K. Judd's course, May 2025-July 2025.
18- Studied chapter 3 of the Mostly Harmless Econometrics, by Angrist and Pischke (2009), August 2025.
19- Attended an undergraduate course on Remote Sensing at University of Chicago, Fall 2025.
The reference book and weekly assignments are based on the 7th edition of GIS Fundamentals by Paul Bolstad and Steven Manson.
The slides and end of chapter questions are available on their website, here.
20- Attended a graduate course on Python for Data Science at University of Chicago, Fall 2025.
21- Studied about the Local Projection method developed by Òscar Jordà, from his 2023 and 2025 papers, October 2025.
Òscar Jordà has a great reference for Stata and R codes of local projection .
22- Studied Applied Spatial Regression Analysis, using the YouTube playlists of Luc Anselin (lectures and notebooks), October 2025-.
23- Studied the Sufficient Statistics method, developed by Raj Chetty (2009), using the Henrik Kleven's 2021 review paper, November 2025-.
24- Learned working Google Earth Engine using the YouTube Playlist of the Geo for Good 2023 Conference (reference book), November 2025.
25- Learned working with vector data in QGIS using the YouTube playlist of Mapeez, November 2025.
26- Attended the Webinar "AERE - GSE Committee - Professional Development Panel: The Cutting Edge: Finding and Using Novel Datasets and Contemporary Skillsets", December 2025.
27- Attended the Webinar "Beyond the PUMA: Supplemental Geography in ACS Microdata from IPUMS USA", December 2025.
1- Read pages 388 to 417 in chapter 9 on buffering, overlay and network analysis in Bolstad and Manson (2022) and worked on the end of chapter questions of chapter 9, December 2-9, 2025.
2- Read chapter 10 on raster analysis in Bolstad and Manson (2022) and worked on parts of end of chapter questions of chapter 10, December 10-16, 2025.
3- Learned how to work with GeoDa software for calculating the weights matrix in spatial data, from Luc Anselin's lecture, December 2025.
1- Attended Linkedin course on business etiquette in May 2023.
2- Attended Linkedin course on AirTable in May 2023.
3- Attended a workshop on grantsmanship as the Indiana Resilience Institute in June 2023.
4- Completed Grant Management Training Modules at Environmental Protection Agency over June and July 2023.
5- Completed How to Develop a Budget Modules at Environmental Protection Agency in July 2023.
6- Attend a one-day teaching academy at the Annual AAEA Conference, July, 2024.
7- Completed the CITI program's course for social/behavioral researchers in August 2024.
8- Completed the Introduction to Finance and Accounting Specialization on Coursera, September 2024.
9- Completed the Introduction to Index Insurance course offered by the World Bank Group, November 2024.
10- Completed the Agricultural Risk Management course offered by the FAO, January 2025.
11- Completed the Introduction to Climate-Smart Agriculture course offered by FAO, January 2025.
12- Attended a Two workshops on Teaching Portfolios at University of Chicago, January and February 2025.
13- Attended a workshop on Teaching with Case Studies offered by the Agricultural & Applied Economics Association, March 2025.
14- Completed an ESRI training on GIS for Climate Action (link to the final project), February-March 2025.
15- Completed a NASA training on Fundamentals of Remote Sensing, April 2025.
16- Attended three-day workshop of IBES section of the AAEA on Power Analysis in Research, May 2025. Link to slides with a permission from organizers to share.
17- Watched the videos of the Certified Peer Reviewer Course of the Elsevier Research Academy, November 2025.
18- Attended the AEA Workshop on "From Contribution to Credit: Navigating Authorship with Confidence", December 2025.
Got introduced to a template for authorship agreement prepared by the UNC Charlotte.
1- Videos of Kenneth Train on Industrial Organization
2- Videos of Matt Woermann on Advanced Econometrics
3- Videos of Ashley Hodgson on Building Economic Models