KANVAM EDU

Excel to MySQL: Analytics for All

Excel to MySQL: Analytics for All is a practical course designed to help learners transition from spreadsheet-based analysis to structured ... Show more
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Excel to MySQL: Analytics for All is a practical course designed to help learners transition from spreadsheet-based analysis to structured database-driven analytics. The course focuses on using Microsoft Excel for data preparation and visualization, and MySQL for storing, querying, and analyzing large datasets efficiently.

Students learn how to clean and organize data in Excel, import and manage data in MySQL databases, and perform analytical queries using SQL. The course emphasizes real-world data analysis workflows, enabling learners to move beyond basic spreadsheets and apply database concepts for scalable and accurate analytics.


Course Objectives

  • Understand the role of Excel and databases in data analytics

  • Learn data cleaning and preparation techniques in Excel

  • Store and manage data using MySQL

  • Write SQL queries for data analysis and reporting

  • Build an end-to-end analytics workflow using Excel and MySQL


Key Topics Covered

  • Introduction to Data Analytics

  • Data Preparation and Cleaning in Excel

  • Excel Functions and Pivot Tables for Analysis

  • Introduction to Databases and MySQL

  • Creating Tables and Managing Data in MySQL

  • SQL Queries for Data Analysis

  • Joining Tables and Aggregations

  • Importing Excel Data into MySQL

  • Basic Data Visualization and Reporting

  • Best Practices for Data Accuracy and Performance


Learning Outcomes

By the end of the course, students will be able to:

  • Prepare and analyze data using Excel

  • Store and retrieve data efficiently using MySQL

  • Write SQL queries to generate insights

  • Combine spreadsheet and database tools for analytics

  • Apply data analytics techniques to real-world datasets


Who Should Take This Course

  • Beginners interested in data analytics

  • Students pursuing business, IT, or data-related fields

  • Professionals transitioning from Excel-based analysis to databases

  • Anyone seeking practical analytics skills using Excel and SQL

Course details
Lectures 29
Level Intermediate
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