SQL for Data Analytics Course

Leverage data for business insights with SQL for Data Analytics Training

Understand the basics of relational databases and SQL
Learn how to analyze data from multiple relational databases
Use MySQL to perform thorough data analytics

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Use Advanced Data Analytics with SQL

SQL is a critical tool for any professional in the field of data analytics, especially when dealing with relational databases. Learn one of the most in-demand languages that can interact with relational databases. SQL for Data Analytics focusses on developing your skills of using SQL and improving your understanding of how relational databases work.

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Learn from industry experts, how to get the best out of SQL in data analysis. This course includes 24 hours of instructor led training, along with plenty of exercises, quizzes, and assessments to strengthen your learning. You will also get to work on a project that will let you apply what you have learned in a work like context.

Highlights

24 Hours of Live, Interactive, Trainer-Led Sessions

55 Quizzes and 184 Questions to Practice

9+ Hours of Hands-on Training with SQL

37 Guided Exercises to Learn Data Analytics

Projects that Replicate Work-like Environments

Curriculum Updated by Industry Experts

Advance as a Data Analyst with SQL

Data has become a crucial resource in most businesses today. Any business that needs to maintain a competitive edge must find a way to use data and make data driven decisions that are timely and accurate. Advance your career in data analytics by equipping yourself with expertise in SQL and learn the different SQL features that are used in data analytics.

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There is a significant demand for data analysts skilled in SQL in the leading organizations. Learning how to use SQL for data analytics is a skill that will allow you to access lucrative job opportunities or advance in your career as a data analyst. SQL for data analytics Course online includes projects and exercises which ensure that you will have job-ready skills when you complete your training.

Advance as a Data Analyst with SQL