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Google BigQuery & PostgreSQL for Data Analysis

Self-paced video training — 18 modules, 127 lessons. Work through it at your own pace — every lesson is real recorded training, not slide-reading.

18
MODULES
127
LESSONS
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▶INSIDE THE COURSE · 127 LESSONS
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ABOUT THIS COURSE

In this intermediate course, students will learn to use Google BigQuery and PostgreSQL for data analysis. The curriculum covers installation and setup of both platforms, fundamental SQL statements for database creation and data manipulation, as well as techniques for restoring and backing up data. Through practical exercises, students will gain hands-on experience in creating databases and tables, and managing datasets effectively.

CURRICULUM

18 modules, in order.

127 LESSONS · LIFETIME ACCESS
01Introduction2 LESSONS
▶Welcome to the Course

this lesson welcomes you to the course on google bigquery and postgresql for data analysis.

▶Course Flow

this lesson outlines the flow and structure of the course.

02Installation and getting started4 LESSONS
▶This is a milestone

this lesson marks a significant milestone in your learning process.

▶PostgreSQL and PGAdmin Installation

this lesson covers the installation process for postgresql and pgadmin.

▶Setting up BigQuery on Google Cloud Platform

this lesson guides you through setting up bigquery on google cloud platform.

▶BigQuery Interface

this lesson introduces you to the bigquery interface.

03Fundamental SQL statements26 LESSONS
▶CREATE

this lesson teaches you how to use the create statement in sql.

▶CREATE in BigQuery

this lesson focuses on the create statement specifically in bigquery.

▶Exercise 1 Create DB and Table

this lesson provides an exercise on creating a database and table.

▶INSERT

this lesson discusses the insert statement in sql.

▶INSERT in BigQuery

this lesson covers the insert statement in bigquery.

▶Import data from File

this lesson explains how to import data from a file.

▶Importing data from File using BigQuery Web User Interface

this lesson shows how to import data from a file using bigquery's web user interface.

▶File Upload in Google Big Query through Google cloud sdk

this lesson covers file upload in google bigquery through google cloud sdk.

▶Importing data from Google Drive

this lesson explains how to import data from google drive.

▶Exercise 2 Inserting and Importing

this lesson provides an exercise on inserting and importing data.

▶SELECT

this lesson focuses on the select statement in sql.

▶SELECT in BigQuery

this lesson discusses the select statement in bigquery.

+ 14 more lessons
04Restore and Back-up3 LESSONS
▶Restore and Back-up

learn the processes involved in restoring and backing up data.

▶Data Set creation in BigQuery

understand how to create data sets within BigQuery.

▶Exercise 5 Restore and Back-up

engage in a practical exercise focused on restoring and backing up.

05Selection commands Filtering7 LESSONS
▶IN

learn how to filter records using the IN selection command.

▶IN in BigQuery

discover how to use the IN command for filtering in BigQuery.

▶BETWEEN

explore the BETWEEN command for filtering records within a range.

▶BETWEEN in BigQuery

understand how to apply the BETWEEN command in BigQuery.

▶LIKE

learn about filtering records using the LIKE command.

▶LIKE in BigQuery

discover how to use the LIKE command for filtering in BigQuery.

▶Exercise 6 In Like Between

engage in an exercise focused on filtering using IN, LIKE, and BETWEEN.

06Selection commands Ordering5 LESSONS
▶ORDER BY

learn how to order query results using the ORDER BY clause.

▶ORDER BY in BigQuery

understand how to implement ORDER BY in BigQuery for sorting.

▶LIMIT

explore how to limit the number of records returned by a query.

▶LIMIT in BigQuery

learn how to use the LIMIT clause in BigQuery.

▶Exercise 7 Sorting

practice sorting records in a hands-on exercise.

07Alias2 LESSONS
▶AS

learn how to create an alias for a column or table using AS.

▶AS in BigQuery

discover how to use the AS keyword for aliasing in BigQuery.

08Aggregate Commands9 LESSONS
▶COUNT

explore how to count records using the COUNT aggregate command.

▶COUNT in BigQuery

learn how to use the COUNT function in BigQuery to tally records.

▶SUM

understand the SUM function to calculate total values.

▶SUM in BigQuery

explore how to apply the SUM function within BigQuery.

▶AVERAGE

discover how to calculate the AVERAGE of a dataset.

▶AVERAGE in BigQuery

learn to compute the AVERAGE in BigQuery.

▶MIN MAX

get familiar with using MIN and MAX functions.

▶MIN MAX in BigQuery

understand the application of MIN and MAX in BigQuery.

▶Exercise 8 Aggregate functions

practice using aggregate functions through an exercise.

+ 10 more modules in the full course — 127 lessons total.

CURATED BY

ChartMastery
CURATED LIBRARY

Selected from experienced educators' training libraries and kept whole — modules, worked examples and walkthroughs exactly as taught.

GOOD TO KNOW

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$129 · ONE PAYMENT

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One payment unlocks all 127 lessons instantly — start with lesson one the moment you check out.