By Sekhar Metla, Sr. Software Professional
SQL for Data Science + Data Analytics + Data Visualization
With Azure Data Studio to Become a SQL Expert on Queries for your Business Logic for real world problems!
What you will learn
- Get a job as a junior Data Analytics developer
- Advanced SQL statements
- Use Azure Data Studio to perform data analysis
- Be comfortable putting SQL and Microsoft SQL on their resume
- Learn to perform GROUP BY statements
- Replicate real-world situations and query reports
- Complete Visualization Charts with SandDance extension
- Complete basic SELECT statements querying against a single table
- Filter data using the WHERE clause to identify required data
- Apply SQL for DataScience
- Using JOINS, return data from multiple tables in the same query
- Complete Analysis statements that use aggregate functions
- Import Flat, .CSV, Excel to SQL Database
- Performing Secure Backup and Restore Full SQL Database
Course description
Learn how to use SQL for Data Science quickly and effectively with this course! At this Masterclass on SQL course is without a doubt the most comprehensive SQL database course available online. Even if you have zero SQL experience, this course will take you from beginner to mastery. Here's why: You'll learn how to read and write complex queries to a database using one of the most in demand skills - Microsoft SQL Server. These skills are also applicable to any other major RDBMS database, such as MySQL, PostgreSQL, Amazon Redshift, Oracle, and much more. Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems. Whether you have successfully completed the other courses in the Learn SQL for Data Science and Data Analytics or are taking just this course, this roadmap is your chance to apply the knowledge and skills you have acquired to practice important SQL querying and solve problems with data. You will participate in your own personal or professional journey to create a portfolio-worthy piece from start to finish. You will choose a own dataset and develop a project proposal. You will explore your data and perform some initial statistics you have learned through this course. You will uncover analytics for qualitative data and consider new metrics that make sense from the patterns that surface in your analysis. You will put all of your work together in the form of a presentation where you will tell the story of your findings. Learning SQL for Data Science is one of the fastest ways to improve your career prospects as it is one of the most in demand tech skills! In this course you'll learn quickly and receive challenges and tests along the way to improve your understanding! The course is taught by the lead instructor having 20+ years of professional experience. We'll take you step-by-step through engaging video tutorials and teach you everything you need to know to succeed as a SQL Data Science developer. In this course you will learn everything you need to become a SQL Data Science Pro! Including:
- Get started with Microsoft SQL Server, SQL Server Management Studio, and Azure Data Studio these are the world's most popular SQL tools
- Learn the basics of SQL syntax
- Analyzing data using aggregate functions with GROUP BY commands
- Running advanced queries with string operations and comparison operations
- Learn to use logical operators to add logic flow to your SQL queries
- Azure Data Studio to Connect SQL Server Instance
- Learn common SQL JOIN statements
- Learn to create tables and databases with constraints on data entries
- Learn to use Python to further advanced your SQL Data Science skills
- Learn to apply Flat file transaction data to import to SQL
- Import and Export .CSV or Excel files in to SQL Database
- Learn How to take Secure backup & restore database
- Learn to write SELECT statements
- Learn to Create SQL scripts
- Applying Primary Key and Foreign Keys
- Creating Views and Accessing View Data
- Writing Stored Procedures for re-use SQL scripts
- Dynamic SQL queries and Aggregate Functions
- Subqueries to make complex queries
- Azure Sand Dance Extension to Create Data Visualization
- Creating Different Charts on required Business reports
- Learn to Write Case Statements for Decision Making Queries
- Apply Real world Data queries for Data Analytics and Data type
- SELECT on Query Calculations for Discount and Non Discount SALEs
- and much more!
Requirements
- No prior technical experience is required! All you need a computer!
- No SQL experience needed. You will learn everything you need to know
- No software is required in advance of the course (all software used in the course is free)
Related Skills
Course overview - 98
Section 1: Introduction
How to get course requirements
Getting started on Windows, Linux or Docker
How to ask great questions
FAQ's
Section 2: SQL Server setting up
Microsoft SQL Server Installation
SQL Server Management Studio (SSMS) Installation
How to connect MS SQL (Windows Authentication)
How to connect MS SQL (SQL Server Authentication)
Download and Restore Sample Database
Section 3: SQL Azure Data Studio
Azure Data Studio Installation steps
Azure Data Studio to Connect SQL Server
Create a Database
Create a Table
Insert Data rows
View the Data returned by Query
Section 4: SQL Database basic SSMS
Overview of Databases
Creating Database
SQL Data Types
Column Data Types on SSMS
Creating Table
Overview of Primary Key and Foreign Key
Primary Key
Foreign Key
Creating Temporary tables
Section 5: SQL Statements for DATA
Insert statement
Update statement
Delete statement
Section 6: SQL Data Structure statements
CREATE table statement
DROP statement
ALTER statement
TRUNCATE statement
COMMENT in query
RENAME
Section 7: SQL User Management
GRANT permissions
REVOKE permissions
Section 8: SQL Statement Basic
SQL Statement basic
SELECT Statement
SELECT DISTINCT
SELECT with column headings
Column AS statement
Section 9: Filtering Data Rows
SELECT WHERE Clause – practical
Section 10: Aggregate functions
Min()-Max()
Section 11: SQL Query statements
SELECT TOP clause in SQL
BETWEEN command
IN operator
Wildcard Characters and LIKE
Section 12: SQL Group by statement
Group by – theory
Group by – practical
HAVING statement
Section 13: JOINS for Multiple table Data Analysis
What are Joins
Inner join
Left outer join
Right outer join
Full outer join
Union
Cartesian Product with the Cross Join
Query Exercise
Solution for Query Exercise
Section 14: SQL Constraints
Check constraint
NOT NULL constraint
UNIQUE constraint
Section 15: Views
Reporting with multiple tables
Section 16: Advanced SQL commands
Timestamp
Extract from timestamp
Mathematical scalar functions
String functions
SubQuery
SELECT with calculations
Section 17: SQL Stored procedures
Stored procedure with parameter
Section 18: Azure Data Studio Vizualization
Visualization Charts
Multiple Table Data Charts
Section 19: Azure Studio SQL for Data Analysis
Data Analysis with Case Statement and String Text
Section 20: Import & Export Data
Import Flat File
Import .csv or excel file
Export Data to Excel or any format
Section 21: Backup and Restore Database
Creating Database backup
Restoring Database backup
Meet your instructor
