Data Science

📖 Types of Keys in SQL

🔅 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 🔗 Join Data Analysis for more courses

📊 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.

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80% of data problems can be solved with just 16 SQL functions. I’ve been working with data for years and this truth keeps proving itself: You don’t need fancy tools. You need to master the fundamentals. For data analysts, data scientists, and data engineers: SQL isn’t optional. Because data lives in databases. And databases speak SQL-ish. Most problems fall into 2 categories: Aggregate functions (summarise data): SUM() - Total revenue COUNT() - Total orders AVG() - Average purchase value MIN() - Smallest sale MAX() - Biggest transaction STRING_AGG() - Combine text values Window functions (compare rows): ROW_NUMBER() - Pagination RANK() - Leaderboards with ties DENSE_RANK() - Performance tiers NTILE() - Split into quartiles LEAD() - Compare current vs next LAG() - Compare current vs previous FIRST_VALUE() - Highest value per group LAST_VALUE() - Lowest value per group SUM() OVER() - Running totals AVG() OVER() - Moving averages Aggregates collapse rows → one summary result Window functions keep all rows → add calculations across them

🔅 MySQL Installation and Configuration 📝 Learn how to install and configure MySQL on various platforms, including Mac and Windows. 🌐 Author: Bill Weinman 🔰 Level: Intermediate ⏰ Duration: 1h 20m 📋 Topics: MySQL, Database Administration 🔗 Join Data Analysis for more courses

📁 Mastering SQL

📖 SQL Basics

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If you’re thinking of starting a career in data science but not sure where to begin, 🤔 don’t worry—I’ve got you covered! 🙌 Here’s a list of platforms that can help you learn 📚, practice 💻, and ace your interviews. Whether you’re diving into online courses 🧑‍🏫, looking for datasets 📊 to build your projects, or sharpening your coding skills 💡 for interviews, these resources are perfect for you.

🔅 Hands-On Advanced Python: Data Engineering Basics 📝 Practice applying advanced concepts and coding moves in Python in this hands-on, interactive course with coding challenges in CoderPad. 🌐 Author: Joe Marini 🔰 Level: Advanced ⏰ Duration: 1h 56m 📋 Topics: Python 🔗 Join Data Analysis for more courses

📖 Brain of Data Analyst