Free SQL for Data Science Course
SQL for Data Science
Enroll in our free course on SQL for Data Science and learn techniques to organize and manage huge datasets for data science purposes. Get hands-on experience to work with python for SQL queries on Data Science projects.
Skills you’ll Learn
About this Course
This course will introduce you to prominent SQL operations to perform Data Science tasks, with a few demonstrated examples. The course begins with discussing clauses in SQL and continues with other statements such as GROUP BY, ALIAS, JOINS and their types, i.e., INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, and SELF JOIN. You will also learn to work with subqueries, their types, and execution, after which you shall understand Python concepts with SQL and its popularity. The course comprehends a guide to Python installation. The course also includes assessments to evaluate your gains. Complete the course for free and avail your certificate. We allude you to the attached materials for reference.
After this free, self-paced, beginner's guide to SQL for Data Science, you can enroll in PG Programme in Data Science and embark on your career with the professional Post Graduate certificate and learn various concepts in depth with millions of aspirants across the globe!
Course Outline
SQL is a query processing language and Data Science is all about managing and manipulating data. This SQL for Data Science course gives you insights on how SQL is used in Data Science applications.
This section discusses clauses. You shall understand to fetch data from a single table or by combining multiple tables using GROUP BY and HAVING statements.
This section helps you understand GROUP BY statements in SQL and learn to group the elements based on conditions written after the query statement.
This section will help you have practical exposure to group elements using GROUP BY clauses in the tables using the GROUP BY statement. It is handy to fetch data when the criterion is known.
This section discusses the HAVING clause and explains the aggregation in the instances it is used.
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