Data Analytics with SQL Training Part 00

Join this channel to get access to perks: https://www.youtube.com/channel/UCLBJZQAcGF5Lgwe597tdvWg/join The modules are: Module 1: Foundation (Relational Model and SELECT Statement) - Focuses on understanding the fundamentals of using SQL, the relational model, and how to use the SELECT statement to pick out data from different parts of a database. Databases are explained as being relational, unlike spreadsheets.23 Module 2: Predicative Logic and NULL - Covers how to filter data, use Boolean logic, and understand the concept of NULL (unknown) in databases, distinguishing it from zero.4 Module 3: Set Theory and Ordering - Explores SQL's basis in set theory, including using the DISTINCT statement to ask for a unique set of values and using ORDER BY to sort data by various criteria (size, string, integer, etc.).5 Phase 2: Aggregation - This section shifts focus from looking at individual rows (micro) to looking at trends and summaries (macro). It covers aggregation, summary, pivots (like pivot tables in Excel), and data granularity.6 Module 4: Grouping - Specifically covers how to perform aggregation and summarize data based on categories or fields using the GROUP BY function.7 Module 5: Join - Focuses on interacting with multiple tables using primary keys and foreign keys.8 Module 6: Data Transformation (Feature Engineering) - Explains how to transform raw data into new variables or create new features based on existing ones, including the use of stateless logic and the CASE statement.9 Module 7: Advanced Data Science Prep (Nesting Statements) - Teaches how to write multi-layered, high-level queries by nesting most of the previously learned statements.10 Module 8: Windowing (Window Functions) - Covers the use of window functions to create bridges between rows, which is essential for finance-related tasks such as calculating moving averages and running totals, especially for data that changes over time.11 Module 9: Data Integrity (ACID Principle) - Discusses ensuring data integrity by applying the ACID principles (Atomicity, Consistency, Isolation, Durability), which are properties that will be explained in the module.12 Module 10: Storytelling Capstone - The final module involves doing a storytelling capstone project to create reports and summaries based on the data set used throughout the series, suitable for executive-level communication.13 The video also introduces Module 00, which covers the installation, configuration, and verification of a professional Integrated Development Environment (IDE) to write and run SQL commands. The speaker indicates they will be using the community edition of DBeaver, which is an open-source option, and mentions other choices like MySQL Server or PostgreSQL.