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  1. Use SQL queries and subqueries to prepare data for analysis. Import and export data using a text file and psql. Apply special SQL clauses and functions to generate descriptive statistics. Analyze special data types in SQL, including geospatial and time data.

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  2. In this course, instructor Nikiya Simpson starts with a quick review of SQL basics, then focuses on fundamental SQL queries used in beginning data analysis. Nikiya explains the importance of asking the right questions of your data, as well as how those questions translate into SQL.

  3. SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

  4. This edition of SQL Practice Problems assumes that you have some basic background knowledge about relational databases and tables. However, I’ve added some beginner level questions to gradually introduce the various parts of the SQL Select statement for those with less experience in SQL.

  5. Author: Daragh Ó Tuama. A starter’s guide to SQL for data analytics. SQL serves as the language that enables data analysts to query, update, and manage data in relational databases. Whether you’re just starting in data analytics or an experienced professional, SQL skills can set you apart, offering the ability to sift through large ...

  6. 1 Introduction to SQL. 1.1 What is Data Analysis? The focus of Tanimura (2021) is on preparing data sets for analysis by business practitioners, who might work in accounting, marketing, financial analysis, human resources, or product management. Data analysis blends computing, statistics, and background business knowledge.

  7. Overview. Teaching: 30 min. Exercises: 5 min. Questions. How do I write a basic query in SQL? Objectives. Write and build queries. Filter data given various criteria. Sort the results of a query. Writing my first query. Let’s start by using the raingauge_data table.

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