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SQL for Data Science, Data Analytics and Data Visualization

SQL for Data Science, Data Analytics and Data Visualization

SQL for Data Science, Data Analytics and Data Visualization

Data Science

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

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.

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

Course Details

  • Course duration 7 Hr
  • Total Students 10
  • Certification YES
  • Save Course SAVE

Price - 1 TOKEN


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