I am looking for someone with with data analytics experience. specifically using TABLEAU
Objectives: In the first part of your final project, your task is to identify two distinct sources of data on your own, frame at least two descriptive and two predictive research questions using your primary and secondary data sets.
Tasks:
1) Explore websites or locate data sets that contain at least 3~4 meaningful dimensions and measures as a primary data. Please note that “meaningful” dimensions refers to meaningful qualitative data excluding ID, name, address, phone number, etc. Also, “meaningful” measures should include key performance indicators (KPIs) in the business domain of your choice.
2) Find one primary data that includes your KPIs and at least one secondary data that contains “expandable” qualitative information which can be joined by dimensions from your primary data. For example, if your primary data contains zip code, you can explore your secondary data that include zip code, which can be used as a common column (5 points)
3) Frame at least two descriptive questions and two predictive questions
4) Match your questions with appropriate chart types (note: those should be distinct) (5 points)
5) Create at least four worksheets that answer your research questions (5 points)
6) Create one Tableau Story to describe your data and research questions (5 points)
Suggestive Data sources:
https://www.tableau.com/learn/articles/free-public-data-setsLinks to an external site.
Data.gov
Healthdata.gov
Financial statement data sets https://www.sec.gov/dera/data/financial-statement-data-sets.htmlLinks to an external site.
Google public data explore: https://www.google.com/publicdata/directory (Links to an external site.)
COVID-19 data https://www.openicpsr.org/openicpsr/search/covid19/studiesLinks to an external site.
Google mobility data: https://www.google.com/covid19/mobility/ (Links to an external site.)
The Centers for Medicare & Medicaid Services: https://data.cms.gov/provider-data/searchLinks to an external site.
Your proprietary data (with permission)
Amazon AWS free dataset: https://aws.amazon.com/data-exchange/?trk=344c674c-13a0-4ae2-9575-c65f3f5d0fa7&sc_channel=ps&sc_campaign=acquisition&sc_medium=MKTP|PS-GO|Non-Brand|Desktop|PA|ADX|Marketplace|US|EN|Text|xx|B2B|PMO22-1398&s_kwcid=AL!4422!3!520927013012!e!!g!!public%20data%20sets&ef_id=Cj0KCQjwguGYBhDRARIsAHgRm4_XTikHwZyREMW8gcAvbVcWJ2QfJEXl4LErsP98o8ABypSKElpO_7AaAp8iEALw_wcB:G:s&s_kwcid=AL!4422!3!520927013012!e!!g!!public%20data%20setsLinks to an external site.
https://www.apa.org/science/about/psa/2018/06/publicly-available-dataLinks to an external site.
https://hsls.libguides.com/health-data-sources/data-setsLinks to an external site.
https://libraryguides.umassmed.edu/research_data_management_resources/open_public_dataLinks to an external site.
https://guides.lib.berkeley.edu/publichealth/healthstatistics/rawdataLinks to an external site.
https://www.arts.gov/grants/research-awards/publicly-available-data-sourcesLinks to an external site.