Description
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. Also, you can have your printed certificate delivered by post (shipping cost £3.99). 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.
Curriculum
Section 01: Getting Started
Section 02: SQL Server setting up
Section 03: SQL Azure Data Studio
Section 04: SQL Database basic SSMS
Section 05: SQL Statements for DATA
Section 06: SQL Data Structure statements
Section 07: SQL User Management
Section 08: SQL Statement Basic
Section 09: Filtering Data rows
Section 10: Aggregate functions
Section 11: SQL Query statements
Section 12: SQL Group by statement
Section 13: JOINS for Multiple table Data Analysis
Section 14: SQL Constraints
Section 15: Views
Section 16: Advanced SQL commands
Section 17: SQL Stored procedures
Section 18: Azure Data Studio Visualization
Section 19: Azure Studio SQL for Data Analysis
Section 20: Import & Export data
Section 21: Backup and Restore Database
