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.
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SQL für Data Science
University of California, DavisAbout this Course
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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Beginner Level
Approx. 13 hours to complete
German
What you will learn
Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results.
Use SQL commands to filter, sort, and summarize data.
Create an analysis table from multiple queries using the UNION operator.
Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs Beginner Level
Approx. 13 hours to complete
German
Offered by
Syllabus - What you will learn from this course
4 hours to complete
Erste Schritte sowie Auswählen und Abrufen von Daten mit SQL
4 hours to complete
11 videos (Total 52 min), 2 readings, 4 quizzes
3 hours to complete
Filtern, Sortieren und Berechnen von Daten mit SQL
3 hours to complete
9 videos (Total 49 min), 1 reading, 3 quizzes
3 hours to complete
Unterabfragen und Verknüpfungen in SQL
3 hours to complete
10 videos (Total 56 min), 2 readings, 3 quizzes
4 hours to complete
Ändern und Analysieren von Daten mit SQL
4 hours to complete
10 videos (Total 53 min), 3 readings, 3 quizzes
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