Some useful telegram channels to learn data analytics & data science

Python interview books
👇👇
https://news.1rj.ru/str/dsabooks

Data Analyst Interviews
👇👇
https://news.1rj.ru/str/DataAnalystInterview

SQL for data analysis
👇👇
https://news.1rj.ru/str/sqlanalyst

Data Science &  Machine Learning
👇👇
https://news.1rj.ru/str/datasciencefun

Data Science Projects
👇👇
https://news.1rj.ru/str/pythonspecialist

Python for data analysis
👇👇
https://news.1rj.ru/str/pythonanalyst

Excel for data analysis
👇👇
https://news.1rj.ru/str/excel_analyst

Power BI/ Tableau
👇👇
https://news.1rj.ru/str/PowerBI_analyst

Data Analysis Books
👇👇
https://news.1rj.ru/str/learndataanalysis

🕯 Sites to practice programming and solve challenges to improve programming skills 🕯

1️⃣ https://edabit.com
2️⃣ https://codeforces.com
3️⃣ https://www.codechef.com
4️⃣ https://leetcode.com
5️⃣ https://www.codewars.com
6️⃣ http://www.pythonchallenge.com
7️⃣ https://coderbyte.com
8️⃣ https://www.codingame.com/start
9️⃣ https://www.freecodecamp.org/learn

ENJOY LEARNING 👍👍

Please go through this top 10 SQL projects with Datasets that you can practice and can add in your resume

📌1. Social Media Analytics:
(https://www.kaggle.com/amanajmera1/framingham-heart-study-dataset)

🚀2. Web Analytics:
(https://www.kaggle.com/zynicide/wine-reviews)

📌3. HR Analytics:
(https://www.kaggle.com/pavansubhasht/ibm-hr-analytics-
attrition-dataset)

🚀4. Healthcare Data Analysis:
(https://www.kaggle.com/cdc/mortality)

📌5. E-commerce Analysis:
(https://www.kaggle.com/olistbr/brazilian-ecommerce)

🚀6. Inventory Management:
(https://www.kaggle.com/datasets?
search=inventory+management)

📌 7.Customer Relationship Management:
(https://www.kaggle.com/pankajjsh06/ibm-watson-
marketing-customer-value-data)

🚀8. Financial Data Analysis:
(https://www.kaggle.com/awaiskalia/banking-database)

📌9. Supply Chain Management:
(https://www.kaggle.com/shashwatwork/procurement-analytics)

🚀10. 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 it’s a programming language try to make it more exciting for yourself.

Join for more: https://news.1rj.ru/str/DataPortfolio

Hope this piece of information helps you