Business Intelligence & Data analysis | Advanced MySQL

🎓 Business Intelligence & Data Analysis with Advanced MySQL: Master Data-Driven Decisions in E-commerce

Course Note:

This is an ADVANCED SQL course, built upon the foundational topics and skills covered in previous SQL query courses or requiring prior knowledge of SQL queries. 🧠

Please ensure you have the minimum required prerequisite skills or complete the Beginner SQL course to fully benefit from this course.

Course Headline:

"Unlock the Secrets of E-commerce Data with Advanced MySQL - Transform into a Senior Data Analyst!"

Embark on a journey to become a proficient data analyst by delving into the complexities of e-commerce data. In this course, you will not just learn advanced SQL skills; you'll apply them in real-world scenarios to extract meaningful insights. 💡

What You Will Learn:

• Write Advanced SQL Queries and analyze database schemas to fetch precise data.
• Master the use of TEMPORARY TABLES and SUBQUERIES, enabling you to handle complex, multistep data problems with finesse.
• Analyze e-commerce data for real-world tasks, solving actual business problems.
• Master JOIN statements across multiple tables to gain a holistic view of your data. 🌐

Advanced Skills & Real-World Application:

You will think like an analyst by applying advanced skills such as:

• Utilizing TEMPORARY TABLES for dynamic data manipulation and analysis.
• Writing complex Subqueries to dissect data into meaningful pieces.

Course Outlines:

1. Getting Started with MySQL Workbench: 🧰

   • Setting up your SQL server environment.
   • Establishing a database connection for practical applications.
   • Ensuring you have a solid grasp of SELECT statements, Aggregate Functions, and tables joins before moving forward.

2. Analyzing Traffic Sources: 🌐

   • Reviewing essential queries to warm up.
   • Analyzing where your traffic is coming from and optimizing bids based on performance metrics.

3. Website Performance Analysis: 📈

   • Investigating pageviews, calculating bounce rates, and analyzing landing pages using SUBQUERIES and TEMPORARY TABLES.

4. Channel Portfolio Management: 🛍️

   • Comparing channel performances and understanding the impact of bid changes.

5. Exploring Business Patterns & Seasonality: 📅

   • Deep-diving into campaign performance analysis, including organic and paid campaigns, seasonality trends, and business patterns.

6. Product Analysis: 🏪

   • Breaking down sales by product level to assess conversion rates, cross-selling patterns, and refund rates to maintain quality.

7. User Analysis: 👥

   • Analyzing user behavior to identify the most valuable customers and understanding which channels they prefer.

Transform your data into actionable insights with Advanced MySQL for Business Intelligence. Enroll now and become a pivotal player in the world of data analysis! 🚀📊