SQL for Data Science from Coursera

SQL for Data Science Course

SQL for Data Science from Coursera

This course is designed to give you a primer in the fundamentals of SQL and working with data so that you can begin analyzing it for data science purposes. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization.

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As data collection has increased exponentially, so has the need for people skilled at using and interacting with data; to be able to think critically and provide insights to make better decisions and optimize their businesses. This is a data scientist, “part mathematician, part computer scientist, and part trend-spotter” (SAS Institute, Inc.).

According to Glassdoor, being a data scientist is the best job in America, with a median base salary of $110,000 and thousands of job openings at a time. The skills necessary to be a good data scientist include being able to retrieve and work with data. To do that, you need to be well versed in SQL, the standard language for communicating with database systems.

This course is designed to give you a primer in the fundamentals of SQL and work with data to begin analyzing it for data science purposes. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. You'll start to work with different data types like strings and numbers and discuss methods to filter and pare down your results. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization.

You will create new tables and be able to move data into them. You will learn common operators and how to combine the data. You will use case statements and concepts like data governance and profiling. You will discuss topics on data and practice using real-world programming assignments. You will interpret the structure, meaning, and relationships in source data and use SQL as a professional to shape your data for targeted analysis purposes.

This course is primarily targeted at anyone entering the data science field. It assumes you have no prior knowledge of the SQL programming language. This is a great course to start your path in learning data science.

Institute: University of California, Davis. Via Coursera.

Level: Beginner

Commitment: 4 weeks of study, 3-5 hours/week

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