Google BigQuery and PostgreSQL: SQL for Data Analysis
4.1 (88 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
31,931 students enrolled

Google BigQuery and PostgreSQL: SQL for Data Analysis

Complete SQL bootcamp | Uses PostgreSQL & Google BigQuery | Applicable to MySQL & Oracle SQL| SQL Database for beginners
4.1 (88 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
31,931 students enrolled
Last updated 7/2020
English
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Current price: $139.99 Original price: $199.99 Discount: 30% off
23 hours left at this price!
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This course includes
  • 10.5 hours on-demand video
  • 2 articles
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Knowledge of all the essential SQL commands in BigQuery and PostgreSQL
  • Become proficient in SQL tools like GROUP BY, JOINS and Subqueries
  • Become competent in using sorting and filtering commands in SQL
Requirements
  • Just a PC with any web browser
Description

6 Reasons why you should choose this PostgreSQL and BigQuery course

  1. Carefully designed curriculum teaching you everything in SQL that you will need for Data analysis in businesses

  2. Comprehensive - covers basic and advanced SQL statements in both PostgreSQL and BigQuery

  3. Business related examples and case studies

  4. Ample practice exercises because SQL requires practice

  5. Downloadable resources

  6. Your queries will be responded by the Instructor himself

A Verifiable Certificate of Completion is presented to all students who undertake this SQL course.

Why should you choose this course?

This is a complete tutorial on SQL which can be completed within a weekend. SQL is the most sought after skill for Data analysis roles in all the companies. So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that.

What makes us qualified to teach you?

The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade.

We are also the creators of some of the most popular online courses - with over 400,000 students and thousands of 5-star reviews like these ones:

I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - Sikiru

Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning. Solution to Assignment is also shared so that you can review your performance.


By the end of this course, your confidence in using SQL will soar. You'll have a thorough understanding of how to use SQL for Data analytics as a career opportunity.

Go ahead and click the enroll button, and I'll see you in lesson 1!


Cheers

Start-Tech Academy


FAQ's

Why learn SQL?

  1. SQL is the most universal and common used database language.It powers the most commonly used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Simply put,If you want to access databases then yes, you need to know SQL.


  2. It is not really difficult to learn SQL. SQL is not a programming language, it’s a query language. The primary objective where SQL was created was to give the possibility to common people get interested data from database. It is also an English like language so anyone who can use English at a basic level can write SQL query easily.


  3. SQL is one of the most sought-after skills by hiring employers.


  4. You can earn good money

How much time does it take to learn SQL?

SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn SQL quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn SQL quickly.

What are the steps I should follow to learn SQL?

  1. Start learning from the basics of SQL. The first 10 sections of the course cover the basics.

  2. Once done with the basics, try your hands on advanced SQL. Next 10 sections cover Advanced topics

  3. Practice your learning on the exercise provided in every section.

What's the difference between SQL and PostgreSQL?

SQL is a language. Specifically, the "Structured Query Language"

PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS's, others of which are Oracle, Informix, MySQL, and MSQL.

All of these RDMSs use SQL as their language. Each of them have minor variations in the "dialect" of SQL that they use, but it's all still SQL.

What is BigQuery used for?

BigQuery is a web service from Google that is used for handling or analyzing big data. It is part of the Google Cloud Platform. As a NoOps (no operations) data analytics service, BigQuery offers users the ability to manage data using fast SQL-like queries for real-time analysis.

Is BigQuery free?

The first 10GB of storage per month is free and the first 1TB of query per month is free. Post these limits, BigQuery is chargeable.

Which is better, PostgreSQL or MySQL?

Both are excellent products with unique strengths, and the choice is often a matter of personal preference.

PostgreSQL offers overall features for traditional database applications, while MySQL focuses on faster performance for Web-based applications.

Open source development will bring more features to subsequent releases of both databases.

Who uses these databases?

Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype.

Google BigQuery is used by companies such as Spotify, The New York Times, Stack Etc.

Who this course is for:
  • Working Professionals beginning their Data journey
  • Anyone curious to master SQL from beginner to Advanced in short span of time
Course content
Expand all 127 lectures 10:40:47
+ Fundamental SQL statements
26 lectures 02:38:49
CREATE
11:46
CREATE in BigQuery
12:49
Exercise 1: Create DB and Table
01:25
INSERT
09:07
INSERT in BigQuery
06:23
Import data from File
04:59
Importing data from File using BigQuery Web User Interface
11:12
File Upload in Google Big Query through Google cloud sdk
11:07
Importing data from Google Drive
10:11
Exercise 2: Inserting and Importing
00:57
SELECT
03:45
SELECT in BigQuery
03:53
SELECT DISTINCT
06:05
SELECT DISTINCT in BigQuery
02:54
WHERE
04:02
WHERE in BigQuery
05:44
Logical Operators - AND, OR, NOT
06:10
Logical Operators in BigQuery
07:28
Exercise 3: SELECT & WHERE
01:16
UPDATE
05:25
UPDATE in BigQuery
03:04
DELETE
04:11
DELETE in BigQuery
03:13
ALTER
17:21
ALTER in BigQuery
03:19
Exercise 4: Updating Table
01:03
+ Restore and Back-up
3 lectures 19:39
Restore and Back-up
07:38
Data Set creation in BigQuery
11:10
Exercise 5: Restore and Back-up
00:51
+ Selection commands: Filtering
7 lectures 34:26
IN
04:24
IN in BigQuery
02:52
BETWEEN
05:41
BETWEEN in BigQuery
04:06
LIKE
08:52
LIKE in BigQuery
07:40
Exercise 6: In, Like & Between
00:51
+ Selection commands: Ordering
5 lectures 22:37
ORDER BY
07:42
ORDER BY in BigQuery
04:41
LIMIT
03:38
LIMIT in BigQuery
05:49
Exercise 7: Sorting
00:47
+ Alias
2 lectures 05:58
AS
03:33
AS in BigQuery
02:25
+ Aggregate Commands
9 lectures 29:54
COUNT
05:13
COUNT in BigQuery
04:47
SUM
03:24
SUM in BigQuery
01:58
AVERAGE
02:53
AVERAGE in BigQuery
03:09
MIN MAX
04:18
MIN MAX in BigQuery
02:53
Exercise 8: Aggregate functions
01:19
+ Group By Commands
5 lectures 28:29
GROUP BY
11:52
GROUP BY in BigQuery
05:36
HAVING
05:04
HAVING in BigQuery
04:44
Exercise 9: Group By
01:13
+ Conditional Statement
2 lectures 11:30
CASE WHEN
05:18
CASE WHEN in BigQuery
06:12