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Which SQL should I learn for data analysis?

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Which SQL should I learn for data analysis?

Now, if you are a beginner to SQL and you want to master SQL for data science, your first priority should be learning the SQL language perse and not be choosy of learning an MS SQL or MYSQL or Oracle SQL. All these vendors have built their own version on top of the standard SQL language.

Why do business analysts use SQL?

Business analysts often use SQL to manage data in databases, which allows them to prepare reports and make business decisions. If you are searching for business analyst jobs that use SQL, practicing possible SQL interview questions can help you to impress potential employers in an interview.

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Which SQL is better for data science?

There is no such best SQL for data science. All these tools are almost similar with little differences. The only thing a data scientist aspirant should focus is on understanding types of normalization, writing queries like nested queries, co-related queries, group by, having, and joining queries.

Should you learn SQL to become a data analyst?

SQL appears in 1.5 times as many “data analyst” job postings as Python, and nearly 2.5 times as many job postings as R. There’s no doubt that if you’re looking for a role as a data analyst, learning SQL should be at the top of your to-do list.

Should I learn SQL or T-SQL first?

If you want to work with databases in any way, or if you’re seeking a data job, learning SQL is a necessity. As T-SQL is an extension of SQL, you will need to learn the basics of SQL before starting. If you learn T-SQL first, you will end up picking up knowledge of standard SQL anyway.

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Are SQL skills in high demand?

SQL skills are in high demand. The pure amount of data produced globally continues to grow at an alarming rate; humans were creating 2.5 exabytes of data per day in 2018, and are predicted to create an astounding 463 exabytes daily come 2025.

What is the best language to learn as a data analyst?

There are dozens of relational database management systems that you may run into as a data analyst: MS SQL Server, MS Access, MySQL, Oracle, PostgreSQL, Teradata, DB2, Informix, Redshift, Hadoop Hive, etc. So, learn SQL… the language. That said, you probably want a relational database management system (RDBMS) to practice on.