Good news! Singaporean participants NTUC members can now use SkillsFuture Credits & NTUC UTAP funding!
To learn more about the Applying Data Science & Machine Learning to Real Estate course, visit https://t.co/6mjqYGfAVs.
#realestate#property#propertyreports#realestate
Learn now. Pay later. We've partnered with Knoma so you can learn to apply data science and machine learning to real estate - and pay later on.
UK residents aged 18+ can spread our course fees over 12-months, interest and fee free.
Visit https://t.co/6mjqYGwDXs to learn more.
New course dates announced: Mar 17, 2022 & Apr 27, 2022!
Expand your career possibilities. Learn programming, data science for real estate, and Geographic Information Systems.
To learn more, fill in the form at: https://t.co/DxsHhiJcZY.
Our recent course participant Diego combined web harvesting with automated valuation to build a tool that estimates fair market prices for properties in a region of Mexico, helping buyers and sellers make informed decisions.
To learn more, visit https://t.co/6mjqYGwDXs
Take a look at a project done by our recent participant, Chandan Dev, studying the impact of FDI inflows on Asset Prices in major Indian Real Estate Markets.
To learn more about the Applying Data Science & Machine Learning to Real Estate course, visit https://t.co/6mjqYGfAVs
Just launched!
You can now arm yourself with in-depth analysis of any property in Singapore, with rigorous data-driven research from the PhD instructors of the "Applying Data Science & Machine Learning to Real Estate" course.
To learn more, visit us at https://t.co/gRU02YhPtR
Check out this article on why the Real Estate Industry can’t live without GIS. Read more here: https://t.co/HjljqdV2pW
To learn more about the Applying Data Science & Machine Learning to Real Estate course, visit https://t.co/6mjqYGwDXs
#GIS#realestate#onlinecourse#bigdata
New course dates announced: Feb 9, 2022 & Mar 17, 2022!
Expand your career possibilities. Learn programming, data science for real estate, and Geographic Information Systems.
To learn more, fill in the form at: https://t.co/6mjqYGwDXs.
Did you know? Machine Learning can be used to select the best multifamily acquisitions or development sites. Check out an example of this application done by our course participant Kevin Chaka.
To learn more about our course, visit https://t.co/6mjqYGwDXs
Check out this article on why the Real Estate Industry can’t live without GIS. Read more here: https://t.co/HjljqdV2pW
To learn more about the Applying Data Science & Machine Learning to Real Estate course, visit https://t.co/6mjqYGwDXs
Our participants, Ali, Renato and RJ, analysed real estate investments for submarkets in Charlotte, NC, considering affordability, sales volume, and many other factors to identify the best possible areas to invest.
To learn more, visit https://t.co/DxsHhj0g1Y
Did you know? Machine learning can be applied on big data sets to predict property prices. Here's a project by our recent participants, Chris and Vasanth, who built an automated underwriting model of single-family homes in Denver.
To learn more, visit https://t.co/6mjqYGwDXs
Jeevan, a recent participant, assessed the impacts of population demographics on average property prices in London. The screenshots below show some of his findings.
To learn more, visit https://t.co/6mjqYGwDXs
[LAST CALL] Our next course starts Dec 9. To learn more: https://t.co/DxsHhj0g1Y
Elliot Marsden assessed the relationship between EPC and Price Paid data for non-domestic (office) assets in Central London. The screenshots below show some of his work.
[LAST CALL] Our next course starts Dec 9. Learn more at: https://t.co/DxsHhj0g1Y
Louis Rothstein built an AVM and an interactive Dash application that allows users to compare Median Home Prices in different Zip Codes and Neighbourhoods in Philadelphia.
We're proud of our recent participant, Ralf Lindemann's, project of machine learning models to find the best real estate investments.
Our next course starts Dec 9. To learn more, fill form here: https://t.co/DxsHhj0g1Y
#datascience#realestate#bigdata#dataanalytics#AI
Recent MOE Singapore rule changes mean that "living within 1 km" has an even bigger impact on getting your child into the primary school of your dreams. Use https://t.co/p78dEjsEg8's "School Finder" to discover which addresses boost your admission probabilities the most. #moe#sg
"A wide range of sectors... have few resources for geospatial staff, and... might be missing data science and programming skills... training is required"
@PlaceTech https://t.co/EgsGBmoI2R
PropertyQuants' course: https://t.co/6mjqYGwDXs (includes #GIS and #DataScience).