During this unprecedented time, while we all are sheltered in-place due to COVID-19 its in our best interests to learn new technology and keep ourselves busy with learning. Students can use IBM Watson Studio in the IBM Cloud for free. https://cloud.ibm.com/catalog/services/watson-studio
They can also use Analytics Engine (Spark as a Service) https://cloud.ibm.com/catalog/services/analytics-engine
Using these services, they can solve real world problems (examples below):
1. Predict COVID-19 spread using kaggle data: https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge
3. Use airquality data http://www3.epa.gov/airdata/ad_data.html and send alert based on my zipcode
5. Predict employee retention (you can use glassdoor data for this prototype)
7. Analyze medicare payment data to detect fraud (use the data: https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Physician-and-Other-Supplier2017
9. Use home energy usage datasets http://redd.csail.mit.edu/ as training set to find out how your own home energy usage levels up. Hint: user will enter his own energy usage and app will provide comparative analysis.
10. Use baby names datasets to come up on some cool analytics : https://www.ssa.gov/oact/babynames/limits.html
11. Use NIST vulnerability datasets to predict possible DDoS attack https://nvd.nist.gov/download.cfm
12. Use water and sanitation data http://www.data.unicef.org/water-sanitation/sanitation.html (Links to an external site.) to bring analytics such as which countries is worst / which one is improving..
13. Use children mortality data http://www.unicef.org/statistics/index_countrystats.html to figure out what are the most important causes for under 5 yr old kids die..
14. Use 2012 presidential donation datasets to find out who donated to presidential candidates most and if there is any correlation http://www.fec.gov/finance/2012matching/2012matching.shtml
15. Use Music reviews data https://nijianmo.github.io/amazon/index.html (contact the owner for data link..) and predict popular song
16. Medicare outpatient payment datasets https://data.cms.gov/Medicare/Outpatient-Prospective-Payment-System-OPPS-Provide/ks44-5ax3 (Links to an external site.)
17. Use interesting Genome and proteins data sets from http://www.ncbi.nlm.nih.gov/home/download.shtml (Links to an external site.) and use spark to calculate interesting facts (Hint: use clinVar datasets to find out all gene types related to conditions: "Breast-Ovarian cancer"
18. Use housing affordability datasets with Spark to come up on good analytics - which city and zip code has good overall job opportunity and housing affordability for 30-40 year old http://catalog.data.gov/dataset/housing-affordability-data-system-hads (Links to an external site.)
19. Use farmers market location datasets and spark to generate some interesting analytics http://catalog.data.gov/dataset/farmers-markets-geographic-data (Links to an external site.)
20. Use Govt real estate asset datasets: http://catalog.data.gov/dataset/real-estate-across-the-united-states-rexus-inventory-buildingand spark to come up on some cool analytics such as how much money govt is spending on maintaining useless assets etc..
21. Use death cause datasets http://catalog.data.gov/dataset/leading-causes-of-death-by-zip-code-1999-2013 (Links to an external site.) and spark to answer health related questions
22. Finding fraud in section 8 housing aid from govt: http://catalog.data.gov/dataset/fair-market-rents-for-the-section-8-housing-assistance-payments-program
23. Use NY open data of your choice https://nycopendata.socrata.com (Links to an external site.) and bring some good analytics
24. Use Austin Restaurant inspection report data and spark to get answer to critical consumer questions such as which cuisine or which area rest has more violations in past year etc... https://data.austintexas.gov/dataset/Restaurant-Inspection-Scores/ecmv-9xxi (Links to an external site.) (Links to an external site.)
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