In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.
Analyzing Big Data with SQL
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Analyzing Big Data with SQL
This course is part of Modern Big Data Analysis with SQL Specialization
Instructor: Ian Cook
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4.8
(526 reviews)
Beginner level
No prior experience required
Flexible schedule
Approx. 17 hours
Learn at your own pace
95%
Most learners liked this course
What you'll learn
Understand the basics of SELECT statements
Understand how and why to filter results
Explore grouping and aggregation to answer analytic questions
Work with sorting and limiting results
Skills you'll gain
Details to know
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Assessments
12 assignments
Taught in English
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This course is part of the Modern Big Data Analysis with SQL Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 6 modules in this course
What's included
9 videos5 readings2 assignments1 discussion prompt
What's included
16 videos4 readings2 assignments1 discussion prompt
What's included
14 videos6 readings2 assignments1 discussion prompt
What's included
15 videos6 readings2 assignments2 discussion prompts
What's included
14 videos1 reading2 assignments1 discussion prompt
What's included
12 videos5 readings2 assignments1 peer review1 discussion prompt
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Frequently asked questions
• Windows, macOS, or Linux operating system (iPads and Android tablets will not work) • 64-bit operating system (32-bit operating systems will not work) • 8 GB RAM or more • 25GB free disk space or more • Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled; on Windows and Linux computers, you might need to enable it in the BIOS) • For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.