
Explore the data world by distinguishing categorical and numerical data, learning about nominal, ordinal, and boolean types, and understanding normalization, data models, databases, and SQL in MySQL.
Explore the software development life cycle from planning through maintenance, and compare waterfall and agile methods using epics, user stories, sprints, and Scrum teams.
Explore a typical team structure from project manager to senior and junior developers and testers, including CID team roles, and learn how hierarchy scales with project size.
Explore how data evolves from Excel and CSV to data marts, a data warehouse, and finally a data lake, enabling descriptive and predictive analytics with a single version of truth.
Understand the business requirements and architect a MySQL data warehouse with staging, transformation layers, and final tables using a star or snowflake schema for analytics.
Load the Excel file into the staging layer by creating the staging table in the Adventureworks database and dumping 56,000 records into tbl stg aw data using Tableau Prep.
Join the customer, sales, and product tables with inner joins to calculate profit (product price minus cost, times order quantity), then sum profit per customer to classify customer type.
Master the group by concept to perform aggregations across categories, gender, stores, and customers, using sum, average, and count to analyze sales, profits, and demographics.
Dive into the world of SQL with our comprehensive MySQL Bootcamp, tailored to transition you from novice to expert. This course covers a robust curriculum designed for real-world applications, including both foundational and advanced SQL techniques. Start with the basics of SQL queries and rapidly advance to complex topics such as DDLs, DMLs, and Select statements. Master data manipulation and querying skills using clauses like WHERE, ORDER BY, and GROUP BY.
Enhance your SQL abilities with single-row and multi-row functions, and understand the intricacies of views, complex views, joins, and subqueries. The course also delves into vital database components such as stored procedures, cursors, CTEs, and an in-depth exploration of SQL performance optimization using various indexes and constraints.
Gain hands-on experience with an end-to-end project that includes implementing slowly changing dimensions, auditing data flows, and understanding data warehousing basics, such as normalization and schema designs. Learn to write powerful analytical queries using functions like ROW_NUMBER, RANK, and LEAD/LAG.
Additionally, this course equips you with essential industry knowledge, including MySQL installation, hardware setups, team structures in data projects, and an overview of data-related job roles such as Data Analyst and Data Engineer. Understand the software development cycle and learn how to deploy SQL code using GitHub in a production environment.
Enroll now to become proficient in MySQL and open doors to numerous opportunities in the data industry!