Hallos

SQL for Data Science, Data Analytics and Data Visualization

SQL for Data Science, Data Analytics and Data Visualization

  • 7 hours
  • Self-paced online
  • Certificate on completion

Part of Personal Development courses

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

  1. Section 01: Getting Started
  2. Section 02: SQL Server setting up
  3. Section 03: SQL Azure Data Studio
  4. Section 04: SQL Database basic SSMS
  5. Section 05: SQL Statements for DATA
  6. Section 06: SQL Data Structure statements
  7. Section 07: SQL User Management
  8. Section 08: SQL Statement Basic
  9. Section 09: Filtering Data rows
  10. Section 10: Aggregate functions
  11. Section 11: SQL Query statements
  12. Section 12: SQL Group by statement
  13. Section 13: JOINS for Multiple table Data Analysis
  14. Section 14: SQL Constraints
  15. Section 15: Views
  16. Section 16: Advanced SQL commands
  17. Section 17: SQL Stored procedures
  18. Section 18: Azure Data Studio Visualization
  19. Section 19: Azure Studio SQL for Data Analysis
  20. Section 20: Import & Export data
  21. Section 21: Backup and Restore Database