Question 1

Can you use SQL for data visualisation?

Accepted Answer

Yes, SQL can be used for data visualisation by preparing and structuring data for reporting tools like Tableau, Power BI, and Google Data Studio. SQL helps filter, aggregate, and join datasets to create meaningful visualisations.

Question 2

Which SQL is used for data analytics?

Accepted Answer

SQL is widely used for data analytics, with popular versions including MySQL, PostgreSQL, Microsoft SQL Server, and Oracle SQL. These databases support querying, filtering, and aggregating data for analysis.

Question 3

Can SQL be used for data science?

Accepted Answer

Yes, SQL is essential for data science as it enables efficient data extraction, transformation, and analysis. Data scientists use SQL to query large datasets, clean data, and integrate it with machine learning models.

Question 4

Can I learn SQL in 7 days?

Accepted Answer

You can learn the basics of SQL in 7 days with structured tutorials and practice. However, mastering complex queries and optimisation techniques requires more time and hands-on experience.

Question 5

Can I master SQL in 2 days?

Accepted Answer

While you can grasp fundamental SQL concepts in 2 days, mastering advanced topics like joins, stored procedures, and query optimisation takes longer. Regular practice is key to becoming proficient.

Question 6

Does SQL require coding?

Accepted Answer

SQL is a programming language used for managing databases, but it differs from traditional coding. It relies on structured queries rather than complex algorithms, making it easier to learn for beginners.

SQL for Data Science, Data Analytics and Data Visualization — Online Class

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SQL for Data Science, Data Analytics and Data Visualization — Online Class

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