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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Learn SQL Basics for Data Science
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von
Spezialisierung Learn SQL Basics for Data ScienceUniversity of California, DavisÜber diesen Kurs
941.338 kürzliche Aufrufe
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Zertifikat zur Vorlage
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Anfänger“
Ca. 14 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Englisch, Spanisch
Was Sie lernen werden
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.
Kompetenzen, die Sie erwerben
- Data Science
- Data Analysis
- Sqlite
- SQL
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Kurs 1 von 4 in
Stufe „Anfänger“
Ca. 14 Stunden zum Abschließen
Englisch
Untertitel: Arabischer Raum, Französisch, Portugiesisch (europäisch), Italienisch, Vietnamesisch, Deutsch, Russisch, Englisch, Spanisch
von
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.
Lehrplan - Was Sie in diesem Kurs lernen werden
4 Stunden zum Abschließen
Getting Started and Selecting & Retrieving Data with SQL
In this module, you will be able to define SQL and discuss how SQL differs from other computer languages. You will be able to compare and contrast the roles of a database administrator and a data scientist, and explain the differences between one-to-one, one-to-many, and many-to-many relationships with databases. You will be able to use the SELECT statement and talk about some basic syntax rules. You will be able to add comments in your code and synthesize its importance.
4 Stunden zum Abschließen
11 Videos (Gesamt 52 min), 2 Lektüren, 4 Quiz
3 Stunden zum Abschließen
Filtering, Sorting, and Calculating Data with SQL
In this module, you will be able to use several more new clauses and operators including WHERE, BETWEEN, IN, OR, NOT, LIKE, ORDER BY, and GROUP BY. You will be able to use the wildcard function to search for more specific or parts of records, including their advantages and disadvantages, and how best to use them. You will be able to discuss how to use basic math operators, as well as aggregate functions like AVERAGE, COUNT, MAX, MIN, and others to begin analyzing our data.
3 Stunden zum Abschließen
9 Videos (Gesamt 49 min), 1 Lektüre, 3 Quiz
3 Stunden zum Abschließen
Subqueries and Joins in SQL
In this module, you will be able to discuss subqueries, including their advantages and disadvantages, and when to use them. You will be able to recall the concept of a key field and discuss how these help us link data together with JOINs. You will be able to identify and define several types of JOINs, including the Cartesian join, an inner join, left and right joins, full outer joins, and a self join. You will be able to use aliases and pre-qualifiers to make your SQL code cleaner and efficient.
3 Stunden zum Abschließen
10 Videos (Gesamt 56 min), 2 Lektüren, 3 Quiz
4 Stunden zum Abschließen
Modifying and Analyzing Data with SQL
In this module, you will be able to discuss how to modify strings by concatenating, trimming, changing the case, and using the substring function. You will be able to discuss the date and time strings specifically. You will be able to use case statements and finish this module by discussing data governance and profiling. You will also be able to apply fundamental principles when using SQL for data science. You'll be able to use tips and tricks to apply SQL in a data science context.
4 Stunden zum Abschließen
10 Videos (Gesamt 53 min), 3 Lektüren, 3 Quiz
Bewertungen
- 5 stars73,65 %
- 4 stars20,31 %
- 3 stars3,46 %
- 2 stars1,28 %
- 1 star1,26 %
Top-Bewertungen von SQL FOR DATA SCIENCE
von YL18. Apr. 2021
Exactly what I signed up for. Basic understanding and syntax learning. For anyone looking to further their sql writing, I believe this course and the rest of the curriculum will do perfectly fine
von YC22. Okt. 2020
Honestly it's not obvious why it is called sql for DATA SCIENCE.
In my opinion it's just SQL Basics.
It's pity that there weren't window functions.
But generally the course is good enough.
von ME22. Aug. 2020
This course was good because it teaches you many keywords that are used for practical application in the world of data science. I definitely feel more confident with SQL after finishing this course.
von AL21. Aug. 2020
A comprehensive course that covers major aspects of query building and retrieval in a management system. The topics were delivered well and the materials/assignments were relevant for skill-building.
Über den Spezialisierung Learn SQL Basics for Data Science
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
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