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Learn MySQL from scratch for Data Science and Analytics
Learn MySQL from scratch and become proficient in writing SQL queries, managing databases, and solving real-world data problems using MySQL Server and Workbench. Ideal for data analysts, business professionals, and aspiring database experts.
4.0
122 Ratings
11,212 Enrolled
Created By Metla Sudha Sekhar
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Course speifications
1.5 Hours
33 Files
Lifetime/ Unlimited
Certificate of completion
Created on Dec.5.2024
10 downloadable resources
Last Updated 12.Apr.2025
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Course description
Learn MySQL for Data Science & Analytics: From Basics to Advanced Queries
What You'll Learn
- Master SQL queries to extract valuable insights for business reporting.
- Land a job as a junior Data Analyst or SQL Developer with real-world skills.
- Write advanced SQL queries for complex data operations.
- Use MySQL Workbench to design and manage database schemas.
- Boost your resume by confidently listing SQL and MySQL expertise.
- Apply GROUP BY statements to generate Business Intelligence reports.
- Solve real-world data problems with hands-on query exercises.
- Perform essential SQL operations like SELECT, INSERT, UPDATE, and DELETE.
- Filter and sort data using WHERE clauses to refine queries.
- Apply SQL for Data Science and Data Engineering workflows.
- Use JOINs to merge data from multiple tables for insightful reports.
- Analyze datasets with aggregate functions for deep data insights.
- Import and export data from CSV and Excel into MySQL databases.
- Secure your data by learning Backup & Restore techniques.
- Explore Generative AI and its future applications in Data Science.
- Test your skills with coding exercises for hands-on learning.
Requirements
- No prior SQL or technical experience needed—just a computer!
- No software required in advance—all tools used in the course are free.
Description
Unlock the power of MySQL for Data Science and Analytics with this beginner-friendly course! Whether you're new to databases or looking to enhance your data analysis skills, this course is designed to help you master MySQL and apply it to real-world data challenges.
You'll start with the basics of MySQL, including setting up databases, designing schemas, and writing queries. As you advance, you'll learn JOINs, subqueries, window functions, and performance optimization techniques. You'll also discover how to handle large datasets, generate reports, and integrate MySQL with Data Science workflows.
By the end of this course, you’ll be job-ready and confident in using MySQL for business intelligence, analytics, and data-driven decision-making.
🔥 Don't miss out! Enroll now to master MySQL and boost your career! 🔥
Who This Course Is For
- Beginners looking to start a career in SQL, Data Science, or Business Analytics.
- Anyone working with data—including marketing, finance, operations, and sales professionals.
- Aspiring Business Intelligence Developers who want to extract actionable insights.
- Freelancers & entrepreneurs looking to integrate SQL skills into their business.
- Those aiming for high-paying tech jobs—SQL developers earn near six figures!
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Course content web
18 sections | 89 lectures | 6:00 total length
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all sections
1. Introduction
7 part
1. Introduction.mp4
2. How to get course requirements.mp4
3. Getting started on Windows Linux or Mac.mp4
4. How To Ask Great Questions.mp4
5. FAQs.mp4
6. What is Source code.mp4
7. Learn What is Generative AI Gen AI.mp4
2. SQL Server Setting Up
5 part
1. Section Introduction.mp4
2. MySQL Server Installation.mp4
3. Connect MySQL Server Instance.mp4
4. MySQL Workbench overview.mp4
5. Download and Restore Sample Database.mp4
3. SQL Database basics
11 part
1. Section Introduction.mp4
2. Overview of Databases.mp4
3. Creating Database.mp4
4. SQL Data Types.mp4
5. Column Data Types on Workbench.mp4
6. Creating Table.mp4
7. Overview of Primary and Foreign Key.mp4
8. Primary Key.mp4
9. Foreign Key.mp4
10. Creating Temporary tables.mp4
11. EER – Enhanced Entity Relationship Diagrams.mp4
4. SQL DML (Data Manipulation Language)
4 part
1. Section Introduction.mp4
2. Insert statement.mp4
3. Update statement.mp4
4. Delete statement.mp4
5. SQL DDL (Data Definition Language)
7 part
1. Section Introduction.mp4
2. CREATE table statement.mp4
3. DROP statement.mp4
4. ALTER statement.mp4
5. TRUNCATE statement.mp4
6. COMMENT in query.mp4
7. RENAME table.mp4
6. SQL DCL (Data Control Language)
3 part
1. Create Database user.mp4
2. GRANT permissions.mp4
3. REVOKE permissions.mp4
7. SQL Statement Basic
7 part
1. Section Introduction.mp4
2. SQL Statement basic.mp4
3. SELECT Statement.mp4
4. SELECT DISTINCT.mp4
5. SELECT with column headings.mp4
6. Column AS statement.mp4
7. DASHBOARD Analytics.mp4
8. Filtering Data rows
2 part
1. SELECT WHERE Clause – theory.mp4
2. SELECT WHERE Clause – practical.mp4
9. Aggregate functions for Data Analysis
2 part
1. Sum().mp4
2. Min()-Max().mp4
10. SQL Data Analytic statements
5 part
1. Order By statement.mp4
2. SELECT TOP 3 records.mp4
3. BETWEEN command.mp4
4. IN operator.mp4
5. Search Data using LIKE cards.mp4
11. SQL Group by statement
4 part
1. Section Introduction.mp4
2. Group by – theory.mp4
3. Data Analytics with Group By.mp4
4. HAVING statement.mp4
12. JOINS
9 part
1. Overview of Joins.mp4
2. What are Joins.mp4
3. Inner join.mp4
4. Left outer join.mp4
5. Right outer join.mp4
6. Union.mp4
7. CERTESIAN Product or Cross Join.mp4
8. Query Exercise.mp4
9. Solution for Query Exercise.mp4
13. SQL Constraints
4 part
1. Section introduction.mp4
2. Check constraint.mp4
3. NOT NULL constraint.mp4
4. UNIQUE constraint.mp4
14. Views
2 part
1. Creating Views.mp4
2. Data Analytic Views from multiple tables.mp4
15. Advanced SQL Functions
8 part
1. Section Introduction.mp4
2. Timestamp.mp4
3. Extract from timestamp.mp4
4. Mathematical scalar functions.mp4
5. String functions.mp4
6. Advanced functions.mp4
7. Sub Queries.mp4
8. SELECT with calculations.mp4
16. SQL Stored procedures
3 part
1. Create stored procedure.mp4
2. Stored procedure with parameter.mp4
3. Drop Procedure.mp4
17. Import & Export data
3 part
1. Section Introduction.mp4
2. Import .csv file.mp4
3. Export Data to .csv file.mp4
18. Backup and Restore Database
3 part
1. Section Introduction.mp4
2. Creating Database backup.mp4
3. Restoring Database backup.mp4
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