Analytics Arena

Advanced SQL for Business Analysis: Taking Your Skills to the Next Level Welcome back, Data Enthusiasts! In our last post, we explored the foundational SQL concepts like JOINS, subqueries, and CASE statements - tools essential for any business/data analyst. If you’ve been practicing, you’re probably feeling more confident in navigating your datasets. Now, it's time to level up! In this post, we’ll delve into more advanced SQL topics, such as window functions, CTEs (Common Table Expressions), stored procedures and triggers and events. These advanced features will enable you to tackle even more complex data problems and streamline your queries for efficient analysis. Let’s keep building those SQL skills to empower your data analysis journey! Window Functions: Window functions in SQL are an advanced tool that allow you to perform calculations across a set of table rows related to the current row. Unlike aggregate functions, which group rows into a single result, window functions retai...

  Mastering SQL: The Backbone of Data Analysis Hello, Data Enthusiasts! I hope you're all doing great. In this post, we’re diving deep into the world of SQL—a must-know language for anyone working with data. SQL (Structured Query Language) is the backbone of data analysis, providing the foundation for querying, managing, and manipulating databases. Whether you're dealing with large datasets or need quick, efficient ways to retrieve insights from relational databases, SQL offers the tools you need to make sense of your data. No matter your experience level, mastering SQL will greatly enhance your ability to transform raw data into meaningful insights. Let’s explore the SQL concepts from beginner to expert level and its influence in the analysis world. Topics that would be covered are: 1. Basic Queries 2. JOINS 3. UNION 4. String functions 5. Case Statements 6. Subqueries 7. Window Functions 8. CTEs 9. TEMP tables 10. Stored Procedures 11. Triggers and Events 1. Basic SQL Queries...

  Be an Excel Master: Pivot Tables and VLOOKUP Hello, Data Enthusiasts! I hope you're all doing great. In this post, we’re diving deep into the world of Excel from an analytics perspective. Excel may be considered basic, but it’s one of the most powerful tools at your disposal for data analysis. It stands out for its simplicity, yet offers robust capabilities to import, clean, analyze, and visualize data with ease. Whether you're just starting out or are a seasoned analyst, mastering Excel can significantly enhance your ability to turn raw data into actionable insights. Let’s explore how Excel can empower your data analysis journey! The topics that would be discussed are: 1. Formulas 2. XLOOKUP and VLOOKUP 3. Conditional Formatting 4. Pivot Table in Excel FORMULAS: SUM: Usage: Adds up a range of cells. Example: =SUM(A1:A10) AVERAGE: Usage: Calculates the average of a range of cells. Example: =AVERAGE(B1:B10) COUNT: Usage: Counts the number of cells that contain numbers. Example...