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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Coursera for Businessを試す学習内容
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.
習得するスキル
- Data Science
- Data Analysis
- Sqlite
- SQL
貴社では、従業員に需要のあるスキルを訓練させることによって利益を得ることができるでしょうか?
Coursera for Businessを試すシラバス - 本コースの学習内容
Getting Started and Selecting & Retrieving Data with SQL
Filtering, Sorting, and Calculating Data with SQL
Subqueries and Joins in SQL
Modifying and Analyzing Data with SQL
レビュー
- 5 stars73.58%
- 4 stars20.31%
- 3 stars3.43%
- 2 stars1.32%
- 1 star1.34%
SQL FOR DATA SCIENCE からの人気レビュー
This is amazing course . Once you join this it gives complete information about SQL basics.To improve knowledge of creating databases it is very important course.I am glad to become part of these.
Please Included examples while the instructor is teaching in the video lectures. The instructor is very talented in teaching but due to lack of examples in the video it downgrades the overall course.
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.
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.
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