SQL Expert: Learn Data Science and Analytics with Azure Data Studio | growfast (original) (raw)

Expert

Metla Sudha Sekhar

Categories

Data Science, Data Analysis

Course Description

The SQL for Data Science Masterclass provides a comprehensive journey from SQL basics to advanced techniques, ideal for beginners and those looking to deepen their expertise. You'll learn to write complex queries, analyze data, and utilize Microsoft SQL Server, while applying your skills to major databases such as MySQL and PostgreSQL. This course covers essential SQL syntax, advanced queries, data visualization using Azure SandDance, and Python integration to boost your data science capabilities. You’ll also gain hands-on experience with real-world tasks like importing data, creating tables, and writing stored procedures. With step-by-step tutorials, this masterclass equips you with the practical knowledge needed to manage and analyze data effectively, making it perfect for professionals aiming to excel in SQL for data science.

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What you'll learn

• Secure a position as a junior Data Analytics developer
• Master advanced SQL statements, including aggregate functions
• Utilize Azure Data Studio for data analysis
• Confidently list SQL and Microsoft SQL skills on your resume
• Learn to use GROUP BY statements effectively
• Simulate real-world scenarios and generate query reports
• Create visualization charts using the SandDance extension
• Execute basic SELECT statements for querying single tables
• Filter data with the WHERE clause to extract necessary information
• Apply SQL techniques for Data Science and Business Intelligence
• Explore Generative AI for future learning opportunities
• Perform secure backup and restore operations for full SQL databases
• Import data from flat files, .CSV, and Excel into SQL databases
• Develop analysis statements incorporating aggregate functions
• Use JOINS to retrieve data from multiple tables in one query

Who Should Enrol

• Anyone seeking skills that could lead to earning nearly six figures
• Professionals in marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any field involving data collection
• Individuals aiming to become Data Science developers
• Aspiring entrepreneurs or freelancers
• Anyone looking to achieve financial independence
• Those working with data analytics, charts, or databases
• Individuals aiming to launch a career in Data Engineering
• Beginners interested in SQL, Data Analytics, Data Science, and Visualization, and exploring a career in SQL

Requirement

• No pre-course software installation is required; all software used is free.
• No SQL background is needed; you'll learn all the essentials in the course.
• No prior technical experience is necessary; just a computer is required!

Course Curriculum

• Getting Started 5 lectures

  • 

  Introduction

  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.

  • 

  How to get course requirements

  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.

  • 

  Getting started on Windows, Linux or Docker

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

  • 

  How to ask great questions

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

  • 

  FAQ’s

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

• SQL Server setting up 6 lectures

  • 

  Section Introduction

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

  • 

  Microsoft SQL Server Installation

  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.

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• SQL Azure Data Studio 7 lectures

  • 

  What is Azure Data Studio

  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.

  • 

  Azure Data Studio Installation steps

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

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  Azure Data Studio to Connect SQL Server

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

  • 

  Create a Database

  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.

  • 

  Create a Table

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

  • 

  Insert Data rows

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

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  View the Data returned by Query

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

• SQL Database basic SSMS 10 lectures

  • 

  Section Introduction

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

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  Overview of Databases

  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.

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  Creating Database

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

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  SQL Data Types

  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.

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  Column Data Types on SSMS

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

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  Creating Table

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

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  Primary Key

  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.

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  Foreign Key

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

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  Creating Temporary tables

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

• SQL Statements for DATA 4 lectures

  • 

  Section Introduction

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

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  Insert statement

  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.

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  Update statement

  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.

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  Delete statement

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

• SQL Data Structure statements 7 lectures

  • 

  Section Introduction

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

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  CREATE table statement

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

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  DROP statement

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

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  ALTER statement

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

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  TRUNCATE statement

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

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  COMMENT in query

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

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  RENAME

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

• SQL User Management 3 lectures

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  Create Database user

  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.

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  GRANT permissions

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

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  REVOKE permissions

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

• SQL Statement Basic 6 lectures

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  Section Introduction

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

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  SQL Statement basic

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

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  SELECT Statement

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

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  SELECT DISTINCT

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

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  SELECT with column headings

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

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  Column AS statement

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

• Filtering Data rows 2 lectures

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  SELECT WHERE Clause – theory

  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.

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  SELECT WHERE Clause – practical

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

• Aggregate functions 2 lectures

  • 

  Sum()

  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.

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  Min()-Max()

  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.

• SQL Query statements 5 lectures

  • 

  Order By statement

  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.

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  SELECT TOP clause in SQL

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

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  BETWEEN command

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

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  IN operator

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

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  Wildcard Characters and LIKE

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

• SQL Group by statement 4 lectures

  • 

  Section Introduction

  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.

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  Group by – theory

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

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  Group by – practical

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

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  HAVING statement

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

• JOINS for Multiple table Data Analysis 10 lectures

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  Right outer join

  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.

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  Full outer join

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

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  Union

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

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  Query Exercise

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

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  Solution for Query Exercise

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

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  Overview of Joins

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

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  What are Joins

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

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  Inner join

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

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  Left outer join

  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.

• SQL Constraints 4 lectures

  • 

  Section introduction

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

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  Check constraint

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

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  NOT NULL constraint

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

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  UNIQUE constraint

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

• Views 2 lectures

  • 

  Creating Views

  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.

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  Reporting with multiple tables

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

• Advanced SQL commands 7 lectures

  • 

  Section Introduction

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

  • 

  Timestamp

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

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  Extract from timestamp

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

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  Mathematical scalar functions

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

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  String functions

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

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  Sub Query

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

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  SELECT with calculations

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

• SQL Stored procedures 2 lectures

  • 

  Create stored procedure

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

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  Stored procedure with parameter

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

• Azure Data Studio Visualization 3 lectures

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  Installing SandDance Extension

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

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  Visualization Charts

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

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  Multiple Table Data Charts

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

• Azure Studio SQL for Data Analysis 2 lectures

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  Type Decision for Data Analysis

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

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• Import & Export data 4 lectures

  • 

  Section Introduction

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

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  Import Flat File

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

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  Import .csv or excel file

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

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• Backup and Restore Database 3 lectures

  • 

  Section Introduction

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

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  Creating Database backup

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

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  Restoring Database backup

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

About the Expert

Metla Sudha Sekhar

IT Specialist and Developer

Mr. Sudha Sekhar, He is a Teacher and an IT Specialist, and also passionate to teach every single real-time step that leads students as well as professionals to become successful and the vision to impart Good Quality Software Education to all I.T to aspirants make a strong bridge the gap between the software companies requirements and the beginners.

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