Overview:
Welcome to "SQL for Data Science, Data Analytics, and Data Visualization!" This course is designed to provide a comprehensive understanding of SQL (Structured Query Language) and its applications in data science, data analytics, and data visualization. SQL is a powerful tool for managing and querying relational databases, making it essential for anyone working with data. In this course, you'll learn SQL from the ground up and explore its role in analyzing and visualizing data effectively.- Interactive video lectures by industry experts
- Instant e-certificate and hard copy dispatch by next working day
- Fully online, interactive course with Professional voice-over
- Developed by qualified first aid professionals
- Self paced learning and laptop, tablet, smartphone friendly
- 24/7 Learning Assistance
- Discounts on bulk purchases
Main Course Features:
- Detailed explanation of SQL syntax and commands for data manipulation and querying
- Hands-on exercises and projects for practical application of SQL concepts
- Exploration of advanced SQL techniques for data analysis and visualization
- Integration of SQL with popular data visualization tools such as Tableau or Power BI
- Real-world case studies and examples showcasing SQL's applications in data science and analytics
- Access to datasets and resources for practicing SQL queries and analysis
- Supportive online community for collaboration and assistance throughout the course
- Regular updates to keep pace with the latest advancements in SQL and data visualization technologies
Who Should Take This Course:
- Data scientists, analysts, and professionals working with relational databases
- Business analysts and decision-makers seeking to leverage SQL for data-driven insights
- Students and professionals aiming to enhance their skills in data manipulation and analysis
- Anyone interested in learning SQL for data science, analytics, and visualization applications
Learning Outcomes:
- Master SQL fundamentals for data manipulation, querying, and analysis
- Perform complex data analysis tasks using SQL queries and functions
- Create interactive and visually appealing data visualizations with SQL and visualization tools
- Develop advanced SQL skills for data exploration and visualization
- Gain practical experience through hands-on exercises and projects
- Build a portfolio of SQL-based data analysis and visualization projects
- Communicate insights effectively through data visualization techniques
- Stay updated with the latest trends and best practices in SQL and data visualization.
Certification
Once you’ve successfully completed your course, you will immediately be sent a digital certificate. All of our courses are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.Assessment
At the end of the Course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven’t, there’s no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself.
We guarantee that all our online courses will meet or exceed your
expectations. If you are not fully satisfied with a course - for
any reason at all - simply request a full refund. We guarantee no
hassles. That's our promise to you.
Go ahead and order with confidence!
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Course Curriculum
| SQL for Data Science, Data Analytics and Data Visualization | |||
| No lessons available in this section. | |||
| Section 01: Getting Started | |||
| Introduction | |||
| How to get course requirements | |||
| Getting started on Windows, Linux or Docker | |||
| How to ask great questions | |||
| FAQ’s | |||
| Section 02: SQL Server setting up | |||
| Section Introduction | |||
| 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 03: SQL Azure Data Studio | |||
| What is 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 04: SQL Database basic SSMS | |||
| Section Introduction | |||
| 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 05: SQL Statements for DATA | |||
| Section Introduction | |||
| Insert statement | |||
| Update statement | |||
| Delete statement | |||
| Section 06: SQL Data Structure statements | |||
| Section Introduction | |||
| CREATE table statement | |||
| DROP statement | |||
| ALTER statement | |||
| TRUNCATE statement | |||
| COMMENT in query | |||
| RENAME | |||
| Section 07: SQL User Management | |||
| Create Database user | |||
| GRANT permissions | |||
| REVOKE permissions | |||
| Section 08: SQL Statement Basic | |||
| Section Introduction | |||
| SQL Statement basic | |||
| SELECT Statement | |||
| SELECT DISTINCT | |||
| SELECT with column headings | |||
| Column AS statement | |||
| Section 09: Filtering Data rows | |||
| SELECT WHERE Clause – theory | |||
| SELECT WHERE Clause – practical | |||
| Section 10: Aggregate functions | |||
| Sum() | |||
| Min()-Max() | |||
| Section 11: SQL Query statements | |||
| Order By statement | |||
| SELECT TOP clause in SQL | |||
| BETWEEN command | |||
| IN operator | |||
| Wildcard Characters and LIKE | |||
| Section 12: SQL Group by statement | |||
| Section Introduction | |||
| Group by – theory | |||
| Group by – practical | |||
| HAVING statement | |||
| Section 13: JOINS for Multiple table Data Analysis | |||
| Overview of Joins | |||
| 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 | |||
| Section introduction | |||
| Check constraint | |||
| NOT NULL constraint | |||
| UNIQUE constraint | |||
| Section 15: Views | |||
| Creating Views | |||
| Reporting with multiple tables | |||
| Section 16: Advanced SQL commands | |||
| Section Introduction | |||
| Timestamp | |||
| Extract from timestamp | |||
| Mathematical scalar functions | |||
| String functions | |||
| Sub Query | |||
| SELECT with calculations | |||
| Section 17: SQL Stored procedures | |||
| Create stored procedure | |||
| Stored procedure with parameter | |||
| Section 18: Azure Data Studio Visualization | |||
| Installing SandDance Extension | |||
| Visualization Charts | |||
| Multiple Table Data Charts | |||
| Section 19: Azure Studio SQL for Data Analysis | |||
| Type Decision for Data Analysis | |||
| Data Analysis with Case Statement and String Text | |||
| Section 20: Import & Export data | |||
| Section Introduction | |||
| Import Flat File | |||
| Import .csv or excel file | |||
| Export Data to Excel or any format | |||
| Section 21: Backup and Restore Database | |||
| Section Introduction | |||
| Creating Database backup | |||
| Restoring Database backup | |||