What you would learn in BigQuery for Data Analysts course?
Examine data in BigQuery by using fundamental SQL statements, as well as specific functions that help you get a better understanding of your data. If you are looking to analyze data in BigQuery and are familiar with BigQuery, the course will allow you to expand your knowledge through lessons, tests, and assignments. (If you're new to BigQuery, you should take this Introduction to BigQuery course first.)
The course starts with the declarations of data definition language used for creating and editing views and tables. This is followed by a discussion of the data manipulation terms such as SELECT, INERT UPDATE, DELETE and MERGE. Learn to use commonly used table expressions (CTEs) efficiently to modular your SQL and make complex logic understandable.
Note several introductory videos review the SELECT statements that you can skim if you've completed Introduction to BigQuery or are proficient in creating a SELECT statement.
Working with BigQuery has its own challenges compared to traditional databases, such as Postgres or SQL Server. We frequently make use of arrays and structures within BigQuery as well. The course is designed to show you how to use arrays and querying and unnesting them by using array functions and working with arrays and structures made up of structures.
SQL functions form the fundamental components of data analytics which is why it's essential to understand the functions available in BigQuery to quickly and efficiently analyze data. In this course, we'll be taught about the array of SQL functions that are used for:
Statistics and math
Data type casting
Dates and times
Approximate methods for working on large databases
Window and Analytical functions
Data analysts must be aware of BigQuery operations. Therefore, the course will also cover BigQuery security, which includes access control, columns security, and row-level security, in addition to cost and performance management.
Examine your knowledge of BigQuery concepts by taking eight assignments and ten questions.
In this course, you'll be exposed to various subjects that analysts of data must be aware of and will be able to use that knowledge in BigQuery while still working at a cost-effective rate.
After you have completed this course, you will have a thorough understanding of a vast array of methods and functions for analyzing and changing data using BigQuery Learn how access to data can be managed using IAM row-level, row-level as well as column-level security as well as how to manage the costs associated with BigQuery operations. BigQuery operation.
Learn to work with SQL functions to calculate dates, strings, math, and more.
Use repeated and structured fields to ensure that you can model your data efficiently.
Set access controls for rows, columns, tables, and datasets.
Controlling costs and optimizing performance
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