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, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.
About this Course
Learner Career Outcomes
Learner Career Outcomes
University of California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
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TOP REVIEWS FROM SQL FOR DATA SCIENCE
This course has really helped with optimizing queries that I work with everyday, enhancing my understanding of RDBMS, joins, analyzing and structuring exactly what you need and yielding those results.
Did not need to be a peer review assessment, most of the tests lacked creativity and could be automated. The peer review component should just apply to the creative components that can be expanded.
Great course for beginners, very clear and instructor share useful tips. The only reason I don't give it 5 stars is because I think there could be more material related to date and time functions.
Videos are a bit lengthy course could be shorter by 10-20% from a time perspective with the content staying the same. Overall good course for anyone that need to learn or to refresh their skills.
About the Learn SQL Basics for Data Science Specialization
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