Data Science – Telegram
Data Science
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Learn how to analyze data effectively and manage databases with ease.

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📊 Your Data Analyst journey doesn’t start with tools — it starts with a roadmap.

From mastering Excel & SQL ➝ understanding statistics ➝ working with Python & visualization tools ➝ building real-world projects — a clear Data Analyst roadmap can save you months of confusion and wrong learning choices.

If you’re serious about breaking into analytics in 2026, you don’t need random tutorials. You need structured learning, hands-on practice, and industry-relevant skills.
🔅 Python in Excel: Getting Started with Data Analysis

📝 Explore the core concepts and fundamental skills of working with data using Python in Microsoft Excel.

🌐 Author: Joe Marini
🔰 Level: Intermediate
Duration: 1h 40m

📋 Topics: Data Analysis, Microsoft Excel, Python

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Python in Excel: Getting Started with Data Analysis.zip
210.6 MB
📱Data Analysis
📱Python in Excel: Getting Started with Data Analysis
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📖 Types of Keys in SQL
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🔅 Advanced NoSQL for Data Science

📝 Explore the fundamentals of NoSQL. Learn the differences between NoSQL and traditional relational databases, discover how to perform common data science tasks with NoSQL, and more.

🌐 Author: Dan Sullivan
🔰 Level: Advanced
Duration: 1h 54m

📋 Topics: Data Science, NoSQL

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📖Data Science Sandwich
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📖 SQL cheat sheet - Every JOIN explained
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🔰 The 4 Types of SQL Joins

SQL joins combine rows from two or more tables based on a related column. Here are the different types of joins you can use:

1⃣ Inner Join
Returns only the matching rows between both tables. It keeps common data only.

🔢 Left Join
Returns all rows from the left table and matching rows from the right table. If a row in the left table doesn’t have a match in the right table, the right table’s columns will contain NULL values in that row.

🔢 Right Join
Returns all rows from the right table and matching rows from the left table. If no matching record exists in the left table for a record in the right table, the columns from the left table in the result will contain NULL values.

🔢 FULL OUTER JOIN
Returns all rows from both tables, filling in NULL for missing matches.
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🔅 Python Data Structures: Dictionaries

📝 Learn how to use dictionaries to store and retrieve unordered data in Python.

🌐 Author: Deepa Muralidhar
🔰 Level: Beginner
Duration: 57m

📋 Topics: Data Structures, Python

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Python Data Structures: Dictionaries.zip
129.7 MB
📱Data Analysis
📱Python Data Structures: Dictionaries
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