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Master SQL and MySQL from scratch to advanced level for data analytics and business intelligence.
What you’ll learn:
Write complex SQL queries to extract, filter, and analyze data from MySQL databases for business decision-making
Master JOINS, subqueries, CTEs, and window functions to perform advanced multi-table data analysis
Design and build normalized relational databases using Entity-Relationship diagrams and data modeling principles
Clean and transform messy data using SQL techniques including NULL handling, string functions, and CASE statements
Calculate business metrics and KPIs using aggregate functions, GROUP BY, and HAVING clauses
Connect MySQL databases to Power BI and create interactive dashboards with visual analytics
Apply database normalization principles to design efficient, scalable database schemas
Build professional business intelligence reports combining SQL analytics with Power BI visualizations
Disclaimer:This course contains the use of Artificial Intelligence
Become a data analytics professional by mastering SQL and MySQL from absolute beginner to advanced practitioner. This comprehensive bootcamp takes you on a complete journey from understanding database fundamentals to building professional business intelligence dashboards in Power BI.
You’ll start by setting up your MySQL environment and learning core database concepts including tables, schemas, and data types. Then you’ll progressively master essential SQL skills: querying and filtering data with SELECT and WHERE clauses, sorting and limiting results, applying logical operators, and using aliases for professional query outputs.
The course advances into critical business analytics skills including aggregate functions for calculating key metrics, grouping and summarizing data, filtering aggregations, and analyzing unique records. You’ll become proficient in multi-table analysis through various types of joins (INNER, LEFT, RIGHT) and combining datasets with UNION operations—essential skills for real-world data analytics.
Data quality is crucial, so you’ll learn comprehensive data cleaning and transformation techniques including handling NULL values, string manipulation for standardization, and using CASE statements for conditional categorization. You’ll then master advanced SQL techniques like subqueries, Common Table Expressions (CTEs), window functions for ranking and trend analysis, and correlated subqueries for comparative insights.
A complete module on database design teaches you to create Entity-Relationship diagrams, define entities and relationships, and apply normalization principles. You’ll design and build a complete business consulting firm database from scratch, applying professional data modeling practices.
The course culminates in Power BI integration, where you’ll connect MySQL databases to Power BI, create interactive visualizations, build filters and slicers, and develop a complete business performance dashboard with KPIs, calculated measures, and customized visual elements.
Through hands-on projects including a mini database design project and a comprehensive capstone business dashboard, you’ll gain practical experience that employers value. By course completion, you’ll have the skills to extract, analyze, and visualize business data professionally, making you ready for roles in data analytics, business intelligence, and database development.
Whether you’re transitioning into data analytics, advancing your current career, or building skills for entrepreneurship, this bootcamp provides everything you need to master SQL and MySQL for professional data analytics and business intelligence.
Who this course is for:
Aspiring data analysts who want to master SQL and MySQL for professional data analytics careers
Business professionals seeking to extract insights from company databases without relying on IT teams
Students and graduates preparing for data-related job roles requiring SQL expertise
Excel users ready to transition to more powerful database analysis and business intelligence tools
Entrepreneurs and business owners who want to analyze their own business data and make data-driven decisions
Career changers looking to enter the high-demand fields of data analytics and business intelligence

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