Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume
π1. Social Media Analytics:
(https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset)
π2. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)
π3. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-
attrition-dataset)
π4. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)
π5. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)
π6. Inventory Management:
(https://www.kaggle.com/datasets?
search=inventory+management)
π 7.Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-
marketing-customer-value-data)
π8. Financial Data Analysis:
(https://www.kaggle.com/awaiskalia/banking-database)
π9. Supply Chain Management:
(https://www.kaggle.com/shashwatwork/procurement-analytics)
π10. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)
Small suggestion from my side for non tech students: kindly pick those datasets which you like the subject in general, that way you will be more excited to practice it, instead of just doing it for the sake of resume, you will learn SQL more passionately, since itβs a programming language try to make it more exciting for yourself.
Join for more: https://t.iss.one/DataPortfolio
Hope this piece of information helps you
π1. Social Media Analytics:
(https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset)
π2. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)
π3. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-
attrition-dataset)
π4. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)
π5. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)
π6. Inventory Management:
(https://www.kaggle.com/datasets?
search=inventory+management)
π 7.Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-
marketing-customer-value-data)
π8. Financial Data Analysis:
(https://www.kaggle.com/awaiskalia/banking-database)
π9. Supply Chain Management:
(https://www.kaggle.com/shashwatwork/procurement-analytics)
π10. Analysis of Sales Data:
(https://www.kaggle.com/kyanyoga/sample-sales-data)
Small suggestion from my side for non tech students: kindly pick those datasets which you like the subject in general, that way you will be more excited to practice it, instead of just doing it for the sake of resume, you will learn SQL more passionately, since itβs a programming language try to make it more exciting for yourself.
Join for more: https://t.iss.one/DataPortfolio
Hope this piece of information helps you
π3
5_6260478810370607322.pdf
2.6 MB
Pdf Resource:- How to get your first Data Science job
Source :- Springboard
Source :- Springboard
tom-lawry-ai-in-health-a-leader-s-guide-to-winning-in.pdf
9 MB
AI in Health
Tom Lawry, 2020
Tom Lawry, 2020
β€2
β€3π1