SQL for Data Science along with Data Analytics and Data Visualization

Provides an overview of the course, outlining its objectives, structure, and what students can expect to learn by the end. This session sets the stage for the entire learning journey.

Guides students on how to obtain the necessary tools and software required for the course, ensuring they have everything needed for a smooth learning experience.

Offers detailed setup instructions for getting started with SQL on different operating systems, including Windows, Linux, and Docker, catering to various user preferences.

Provides tips and strategies for asking effective questions that will help learners get the most out of their course interactions and improve their understanding.

Answers common questions that students might have about the course, addressing potential concerns and clarifying key aspects to facilitate a better learning experience.

Introduces the process of setting up SQL Server, explaining the importance of having a properly configured environment before diving into database management.

Walks students through the step-by-step process of installing Microsoft SQL Server, ensuring they have the core database engine set up on their system.

Provides a detailed guide for installing SQL Server Management Studio, the essential tool for managing SQL databases and running queries.

Explains how to connect to SQL Server using Windows Authentication, highlighting the security features and ease of use for Windows users.

Offers instructions on connecting to SQL Server using SQL Server Authentication, which is useful in scenarios requiring more granular security controls.

Guides students through downloading and restoring a sample database, giving them a hands-on practice environment for the course.

Azure Data Studio as a modern, cross-platform tool for managing SQL Server, offering insights into its features and advantages over other SQL management tools.

Provides a comprehensive guide to installing Azure Data Studio on different operating systems, ensuring that students can start using this powerful tool.

Explains how to connect Azure Data Studio to an SQL Server instance, emphasizing the flexibility and convenience of using this tool for database management.

Offers step-by-step instructions on creating a new database using Azure Data Studio, helping students set up their own databases for experimentation and learning.

Details the process of creating tables within a database in Azure Data Studio, which is essential for organizing and storing data.

Guides students through inserting data into tables, a fundamental skill for managing and analyzing data stored in SQL databases.

Demonstrates how to view and interpret the data returned by SQL queries in Azure Data Studio, crucial for validating and analyzing query results.

Introduces the basic operations of SQL Server Management Studio (SSMS), setting the foundation for database management and query execution in a professional environment.

Provides an introduction to the concept of databases, explaining their structure, purpose, and the types of data they can store, which is critical for understanding database management.

Walks students through the process of creating a new database in SSMS, highlighting the steps involved and the importance of database planning and design.

Offers an overview of the various data types available in SQL, explaining how to choose the appropriate type for different kinds of data to ensure efficient storage and retrieval.

Explains how to assign and manage data types for columns in SSMS, emphasizing the impact of data types on database performance and integrity.

Provides detailed instructions for creating tables in SSMS, an essential skill for organizing data within a database.

Introduces primary and foreign keys, explaining their roles in maintaining data integrity and establishing relationships between tables.

Details the process of defining a primary key in a table, ensuring that each record can be uniquely identified, which is crucial for data consistency.

Explains how to define a foreign key to create relationships between tables, which is essential for relational database design.

Guides students through creating temporary tables in SSMS, which are useful for holding data temporarily during complex queries or transactions.

Provides an overview of the SQL data manipulation statements, setting the stage for learning how to add, modify, and remove data within a database.

Explains the syntax and usage of the INSERT statement in SQL, showing how to add new records to a table, which is fundamental for data entry and population.

Demonstrates how to use the UPDATE statement to modify existing data in a table, an essential skill for keeping data accurate and up-to-date.

Guides students through the DELETE statement, explaining how to remove records from a table while discussing the implications of deleting data from a database.

Introduces the SQL commands related to data structure, explaining their importance in creating and managing the schema of a database.

Explains the syntax and usage of the CREATE TABLE statement, which is used to define new tables and specify their columns and data types.

Provides instructions on using the DROP statement to delete tables from a database, emphasizing the importance of caution when removing database objects.

Details the ALTER statement's functionality, allowing students to modify existing table structures, such as adding or removing columns or changing data types.

Explains the TRUNCATE statement, which quickly removes all records from a table while preserving its structure, useful for resetting data without deleting the table.

Introduces the use of comments within SQL queries, which is essential for documenting code and improving its readability and maintainability.

Guides students on how to rename database objects like tables and columns, a useful command for maintaining clarity and consistency in database design.

Explains how to create new database users, providing the necessary steps to add and manage users, which is critical for controlling access to the database.

Details the process of granting specific permissions to database users, allowing them to perform certain actions while maintaining security and access control.

Guides students through revoking permissions from users, which is essential for maintaining database security by ensuring users only have the access they need.

Provides an overview of basic SQL statements, preparing students to perform fundamental operations like selecting and filtering data from databases.

Introduces the basic syntax and structure of SQL statements, laying the groundwork for more complex query writing.

Explains how to use the SELECT statement to retrieve data from a database, the most fundamental operation in SQL for querying data.

Demonstrates how to use SELECT DISTINCT to filter out duplicate records, ensuring that query results contain only unique entries

Guides students on customizing column headings in SELECT statements to improve the readability and clarity of query results.

Introduces the AS keyword for aliasing columns in SQL queries, allowing for more descriptive or simplified column names in the result set.

Explains the theory behind the WHERE clause, which is used to filter records in SQL queries based on specific conditions, essential for precise data retrieval.

Provides practical examples of using the WHERE clause in SQL queries, allowing students to apply the concepts learned and filter data effectively.

Explains how to use the SUM() function in SQL to calculate the total sum of a numeric column, which is useful for generating summary statistics.

Demonstrates the use of the MIN() and MAX() functions to find the smallest and largest values in a column, essential for data analysis and reporting.

Explains the ORDER BY clause, which is used to sort the results of a query based on one or more columns, allowing for organized and readable data output.

Introduces the SELECT TOP clause, which limits the number of records returned by a query, useful for sampling or retrieving the first few entries.

Details the usage of the BETWEEN command to filter data within a specified range, often used in date or number queries.

Explains the IN operator, which checks if a value exists within a list of specified values, simplifying complex WHERE clauses.

Demonstrates how to use wildcard characters with the LIKE operator for pattern matching in SQL queries, essential for flexible data searches.

Introduces the GROUP BY clause, explaining its role in grouping rows that have the same values in specified columns and performing aggregate functions on these groups.

Provides theoretical understanding of the GROUP BY clause, including its syntax and use cases for organizing and summarizing data.

Offers practical examples of using the GROUP BY clause in SQL queries, demonstrating how to group data and apply aggregate functions effectively.

Explains the HAVING clause, which is used to filter groups created by GROUP BY, allowing for conditions to be applied to aggregate results.

Details the RIGHT OUTER JOIN, which returns all records from the right table and the matched records from the left table, including unmatched rows from the right.

Introduces the FULL OUTER JOIN, which returns all records when there is a match in either table, including unmatched rows from both tables.

Explains the UNION operator, which combines the results of two or more queries into a single result set, eliminating duplicate rows.

Describes the CROSS JOIN, which returns the Cartesian product of two tables, combining all rows from both tables.

Provides practice exercises involving various types of joins to reinforce the concepts learned.

Offers solutions to the join practice exercises, helping students verify their understanding and improve their query skills.

Provides an introduction to various types of joins in SQL and their purposes in combining data from multiple tables.

Defines different join types and their functions, such as combining rows based on related columns across tables.

Explains how to use INNER JOIN to select records that have matching values in both tables, commonly used to retrieve related data.

Describes the LEFT OUTER JOIN, which returns all records from the left table and the matched records from the right table, including unmatched rows from the left.

Introduces SQL constraints, which are rules applied to columns in tables to enforce data integrity and accuracy.

Explains the CHECK constraint, which ensures that values in a column meet specified conditions or criteria, helping maintain data validity.

Details the NOT NULL constraint, which prevents null values from being entered into a column, ensuring that all rows contain valid data.

Describes the UNIQUE constraint, which enforces the uniqueness of values in a column, preventing duplicate entries and maintaining data integrity.

Provides instructions on creating views in SQL, which are virtual tables based on the result of a query, used to simplify complex queries and enhance security.

Explains how to use views to generate reports from multiple tables, combining data in a user-friendly format for analysis and presentation.

Introduces advanced SQL commands, offering a deeper dive into more complex functionalities for manipulating and analyzing data.

Details how to work with timestamps in SQL, including storing and querying date and time data.

Explains how to extract specific components from timestamps, such as year, month, or day, for more detailed data analysis.

Covers the use of mathematical functions in SQL for performing calculations on numeric data, such as rounding or finding square roots.

Introduces SQL string functions for manipulating text data, including functions for concatenation, substring extraction, and case conversion.

Explains how to write subqueries, which are nested queries used to perform operations that depend on the results of another query.

Demonstrates how to perform calculations directly within SELECT statements, allowing for dynamic data analysis and reporting.

Provides instructions on creating stored procedures, which are precompiled SQL statements that can be executed as a single unit, improving efficiency and reuse.

Details on how to create stored procedures with parameters, allowing for more flexible and reusable code by passing different values during execution.

Guides students through installing the SandDance extension in Azure Data Studio for advanced data visualization capabilities.

Explains how to create and customize charts in Azure Data Studio, enhancing the ability to analyze and present data visually.

Demonstrates how to visualize data from multiple tables using charts, helping to analyze complex datasets and identify trends.

Offers guidance on choosing appropriate data types for analysis in Azure Studio, ensuring accurate and effective data processing

Explains how to use CASE statements and string functions for advanced data analysis, enabling conditional logic and text manipulation in queries.

Introduces the concepts and techniques for importing and exporting data in SQL, crucial for data migration and integration tasks.

Provides instructions for importing flat files into SQL databases, enabling the transfer of data from simple text formats.

Details the process of importing data from .csv or Excel files, which are commonly used formats for data exchange.

Explains how to export SQL data to various formats, such as Excel, facilitating data sharing and reporting.

Introduces the importance of database backup and restoration, ensuring data protection and recovery in case of failures or data loss.

Provides step-by-step instructions for creating backups of databases, which is crucial for safeguarding data against loss or corruption.

Guides students through the process of restoring a database from a backup, enabling recovery of data to a previous state in case of issues.