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Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former. Ads/ Promo: @love_data
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Согласно последним данным от 10 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 198, а за последние 24 часа — 3, при этом общий охват остаётся высоким.
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“Covering all technical and popular stuff about anything related to Data Science: AI, Big Data, Machine Learning, Statistics, general Math and the applications of former.
Ads/ Promo: @love_data”
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Some helpful Data science projects for beginners
https://www.kaggle.com/c/house-prices-advanced-regression-techniques
https://www.kaggle.com/c/digit-recognizer
https://www.kaggle.com/c/titanic
Intermediate Level Data science Projects
Black Friday Data : https://www.kaggle.com/sdolezel/black-friday
Human Activity Recognition Data : https://www.kaggle.com/uciml/human-activity-recognition-with-smartphones
Trip History Data : https://www.kaggle.com/pronto/cycle-share-dataset
Million Song Data : https://www.kaggle.com/c/msdchallenge
Census Income Data : https://www.kaggle.com/c/census-income/data
Movie Lens Data : https://www.kaggle.com/grouplens/movielens-20m-dataset
Twitter Classification Data : https://www.kaggle.com/c/twitter-sentiment-analysis2
Text mining : https://www.kaggle.com/kanncaa1/applying-text-mining
𝗕𝗿𝗲𝗮𝗸 𝗜𝗻𝘁𝗼 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗶𝗻 𝟮𝟬𝟮𝟱 𝘄𝗶𝘁𝗵 𝗧𝗵𝗶𝘀 𝗙𝗥𝗘𝗘 𝗠𝗜𝗧 𝗖𝗼𝘂𝗿𝘀𝗲😍
If you’re serious about AI, you can’t skip Deep Learning—and this FREE course from MIT is one of the best ways to start👨💻📌
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Why wait to get started when you can learn from MIT for free?✅️
A step-by-step guide on getting set up 👇
𝗦𝘁𝗲𝗽 𝟭: 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝗮 𝗦𝗤𝗟 𝗱𝗿𝗶𝘃𝗲𝗿
You’ll need to a database engine first.
This is what will 𝘳𝘶𝘯 your SQL queries.
Pick 𝘦𝘪𝘵𝘩𝘦𝘳 PostgreSQL 𝘰𝘳 mySQL.
Both are free & widely used.
Download PostgreSQL driver: https://lnkd.in/gbvqNSWr
Download mySQL driver: https://lnkd.in/gCct2Qw3
During installation, make note of:
• Your username
• Your password
• The port number
𝗦𝘁𝗲𝗽 𝟮: 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝗮 𝗦𝗤𝗟 𝗰𝗹𝗶𝗲𝗻𝘁
Next, you’ll need a SQL client to
↳ Connect to a database
↳ Explore your data
↳ Run queries
My recommendations (both free!)
↳ PostgreSQL use 𝘱𝘨𝘈𝘥𝘮𝘪𝘯: https://lnkd.in/gs8u594Z
↳ MySQL use 𝘔𝘺𝘚𝘘𝘓 𝘞𝘰𝘳𝘬𝘣𝘦𝘯𝘤𝘩: https://lnkd.in/gtG3UCaZ
𝗦𝘁𝗲𝗽 𝟯: 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘁𝗼 𝘆𝗼𝘂𝗿 𝘀𝗲𝗿𝘃𝗲𝗿
Now, you’ll connect your DB engine & client.
Open your SQL client & create a new connection.
Use these details from Step 1:
• 𝗛𝗼𝘀𝘁: likely 𝘭𝘰𝘤𝘢𝘭𝘩𝘰𝘴𝘵
• 𝗣𝗼𝗿𝘁
• 𝗨𝘀𝗲𝗿𝗻𝗮𝗺𝗲
• 𝗣𝗮𝘀𝘀𝘄𝗼𝗿𝗱
Then hit "Connect!"
𝗦𝘁𝗲𝗽 𝟰: 𝗖𝗿𝗲𝗮𝘁𝗲 𝗮 𝗻𝗲𝘄 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲
Now you’re connected, let’s create a database.
𝘙𝘦𝘤𝘢𝘭𝘭: 𝘵𝘩𝘦 𝘥𝘢𝘵𝘢𝘣𝘢𝘴𝘦 𝘪𝘴 𝘸𝘩𝘦𝘳𝘦 𝘺𝘰𝘶’𝘭𝘭 𝘢𝘥𝘥 𝘺𝘰𝘶𝘳 𝘵𝘢𝘣𝘭𝘦𝘴.
Run this SQL command: 𝘊𝘙𝘌𝘈𝘛𝘌 𝘋𝘈𝘛𝘈𝘉𝘈𝘚𝘌 𝘴𝘲𝘭_𝘱𝘳𝘰𝘫𝘦𝘤𝘵
𝗦𝘁𝗲𝗽 𝟱. 𝗜𝗺𝗽𝗼𝗿𝘁 𝘆𝗼𝘂𝗿 𝗗𝗮𝘁𝗮𝘀𝗲𝘁
Assume you have your data in CSV file.
𝗙𝗶𝗿𝘀𝘁, create a table with column names + types:
𝘊𝘙𝘌𝘈𝘛𝘌 𝘛𝘈𝘉𝘓𝘌 𝘮𝘺_𝘵𝘢𝘣𝘭𝘦 (
𝘤𝘰𝘭𝘶𝘮𝘯1 𝘛𝘌𝘟𝘛,
𝘤𝘰𝘭𝘶𝘮𝘯2 𝘐𝘕𝘛,
... 𝘦𝘵𝘤 );
𝗦𝗲𝗰𝗼𝗻𝗱, import the data using the Data Import tools.
Need a dataset? Here are 3 starter datasets:
• Global country information: https://lnkd.in/gWpmgkZb
• Restaurant sales: https://lnkd.in/gwWnKYw4
• Fight routes: https://lnkd.in/gwp3c4aE
𝗦𝘁𝗲𝗽 𝟲. 𝗩𝗲𝗿𝗶𝗳𝘆 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮
Check that your data loaded correctly:
𝘚𝘌𝘓𝘌𝘊𝘛 *
𝘍𝘙𝘖𝘔 𝘮𝘺_𝘵𝘢𝘣𝘭𝘦
𝘓𝘐𝘔𝘐𝘛 10;
Look at the data — is this what you were expecting?
𝗦𝘁𝗲𝗽 𝟳. 𝗦𝘁𝗮𝗿𝘁 𝘆𝗼𝘂𝗿 𝗮𝗻𝗮𝗹𝘆𝘀𝗶𝘀
Now you're all set up & ready for your analysis!
🚀 𝗣𝗮𝘆 𝗔𝗳𝘁𝗲𝗿 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗖𝗼𝗱𝗶𝗻𝗴 𝗣𝗿𝗼𝗴𝗿𝗮𝗺! 😍
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𝟰 𝗙𝗥𝗘𝗘 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗠𝗜𝗧, 𝗛𝗮𝗿𝘃𝗮𝗿𝗱, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱 𝘁𝗼 𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱😍
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Best For: Beginners and data enthusiasts who want to work with databases✅️
Guys, Big Announcement!
We’ve officially hit 2 MILLION followers — and it’s time to take our Python journey to the next level!
I’m super excited to launch the 30-Day Python Coding Challenge — perfect for absolute beginners, interview prep, or anyone wanting to build real projects from scratch.
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Here’s what you’ll learn over the next 30 days:
Week 1: Python Fundamentals
- Variables & Data Types (Build your own bio/profile script)
- Operators (Mini calculator to sharpen math skills)
- Strings & String Methods (Word counter & palindrome checker)
- Lists & Tuples (Manage a grocery list like a pro)
- Dictionaries & Sets (Create your own contact book)
- Conditionals (Make a guess-the-number game)
- Loops (Multiplication tables & pattern printing)
Week 2: Functions & Logic — Make Your Code Smarter
- Functions (Prime number checker)
- Function Arguments (Tip calculator with custom tips)
- Recursion Basics (Factorials & Fibonacci series)
- Lambda, map & filter (Process lists efficiently)
- List Comprehensions (Filter odd/even numbers easily)
- Error Handling (Build a safe input reader)
- Review + Mini Project (Command-line to-do list)
Week 3: Files, Modules & OOP
- Reading & Writing Files (Save and load notes)
- Custom Modules (Create your own utility math module)
- Classes & Objects (Student grade tracker)
- Inheritance & OOP (RPG character system)
- Dunder Methods (Build a custom string class)
- OOP Mini Project (Simple bank account system)
- Review & Practice (Quiz app using OOP concepts)
Week 4: Real-World Python & APIs — Build Cool Apps
- JSON & APIs (Fetch weather data)
- Web Scraping (Extract titles from HTML)
- Regular Expressions (Find emails & phone numbers)
- Tkinter GUI (Create a simple counter app)
- CLI Tools (Command-line calculator with argparse)
- Automation (File organizer script)
- Final Project (Choose, build, and polish your app!)
React with ❤️ if you're ready for this new journey
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𝟯 𝗕𝗲𝗴𝗶𝗻𝗻𝗲𝗿-𝗙𝗿𝗶𝗲𝗻𝗱𝗹𝘆 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗶𝗻 𝟮𝟬𝟮𝟱😍
👩💻 Want to Break into Data Science but Don’t Know Where to Start?🚀
The best way to begin your data science journey is with hands-on projects using real-world datasets.👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/44LoViW
Enjoy Learning ✅️
📊 Power BI / Tableau Dashboard Inspiration
🚀 Want to Build Stunning Dashboards? Try This!
Creating an interactive and insightful dashboard is a key skill for any Data Analyst. Here’s a simple Power BI / Tableau dashboard idea to practice!
📝 Project Idea: Sales Performance Dashboard
📌 Dataset: Use free datasets from Kaggle or Sample Superstore (Tableau)
📌 Key Visuals to Include:
✅ Total Sales, Profit, and Orders (KPI Cards)
✅ Sales Trend Over Time (Line Chart)
✅ Top 5 Best-Selling Products (Bar Chart)
✅ Sales by Region & Category (Map & Pie Chart)
✅ Customer Segmentation (Filters & Slicers)
💡 Pro Tips:
🔹 Use conditional formatting to highlight trends 📊
🔹 Add slicers to make the dashboard interactive 🔍
🔹 Keep colors consistent for better readability 🎨
📌 Bonus Challenge: Can you create a drill-through feature to view details by region?
Join @dataportfolio to find free data analytics projects
Like this post for more content like this ♥️
Share with credits: https://t.me/sqlspecialist
Hope it helps :)
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Hurry, limited seats available!. 🏃♀️
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://t.me/DataPortfolio
Hope this piece of information helps you
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React for more ❤️
𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗞𝗶𝗰𝗸𝘀𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 𝗶𝗻 𝟮𝟬𝟮𝟱😍
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Here are 3 amazing courses to build a strong foundation in Exploratory Data Analysis, SQL, and Python👨💻📌
𝐋𝐢𝐧𝐤👇:-
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Repost from AI Prompts | ChatGPT | Google Gemini | Claude
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