You will use case statements and concepts like data governance and profiling.
#LEARNING FACTORY HOURS HOW TO#
You will learn common operators and how to combine the data. You will create new tables and be able to move data into them. You'll start to work with different types of data like strings and numbers and discuss methods to filter and pare down your results. It will build on that foundation and gradually have you write both simple and complex queries to help you select data from tables. This course starts with the basics and assumes you do not have any knowledge or skills in SQL. You will begin to ask the right questions and come up with good answers to deliver valuable insights for your organization. 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.
The skills necessary to be a good data scientist include being able to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems. 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. This is a data scientist, “part mathematician, part computer scientist, and part trend spotter” (SAS Institute, Inc.). 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.
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