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Description

6 Reasons why you should choose this PostgreSQL and BigQuery course
Carefully designed curriculum teaching you everything in SQL and Google BigQuery that you will need for Data analysis in businesses
Comprehensive - covers basic and advanced SQL statements in both PostgreSQL and Google BigQuery
Business related examples and case studies on SQL and Google BigQuery
Ample practice exercises on Google BigQuery because SQL and Google BigQuery require practice
Downloadable resources on SQL and Google BigQuery
Your queries will be responded by the Instructor himself
A
Verifiable Certificate of Completion
is presented to all students who undertake this SQL and Google BigQuery course.
Why should you choose this course?
This is a complete tutorial on Google BigQuery and PostgreSQL which can be completed within a weekend. SQL is the most sought-after skill for Data analysis roles in all the companies. Google BigQuery is also in high demand in data analysis field. So whether you want to start a career as a data scientist or just grow you data analysis skills, or just want to learn Google BigQuery 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 have experience in teaching and using Google BigQuery and PostgreSQL for data analysis purposes.
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, Google BigQuery, PostgreSQL, 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 on Google BigQuery and PostgreSQL. Each section contains a practice assignment for you to practically implement your learning on Google BigQuery and PostgreSQL. Solution to Assignment is also shared so that you can review your performance.
By the end of this course, your confidence in using Google BigQuery and PostgreSQL will soar. You'll have a thorough understanding of how to use Google BigQuery and PostgreSQL for Data analytics as a career opportunity.
Go ahead and click the enroll button, and I'll see you in lesson 1 of this Google BigQuery and PostgreSQL course.
Cheers
Start-Tech Academy
FAQ's
Why learn SQL?
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.
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.
SQL is one of the most sought-after skills by hiring employers.
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?
Start learning from the basics of SQL. The first 10 sections of the course cover the basics.
Once done with the basics, try your hands on advanced SQL. Next 10 sections cover Advanced topics
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. Google BigQuery is part of the Google Cloud Platform. As a NoOps (no operations) data analytics service,
Google BigQuery
offers users the ability to manage data using fast SQL-like queries for real-time analysis.
Is BigQuery free?
For users of Google BigQuery the first 10GB of storage per month is free and the first 1TB of query per month is free. Post these limits, Google 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

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

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
3
1.1-Welcome to the Course
1.2-Course Flow
1.3-Course Resources
2-Installation and getting started
5
2.1-This is a milestone!
2.2-Installing PostgreSQL and pgAdmin in your System
2.3-If pgAdmin is not opening...
2.4-Setting up BigQuery on Google Cloud Platform
2.5-BigQuery Interface
3-Fundamental SQL statements
33
3.1-CREATE
3.2-CREATE in BigQuery
3.3-Exercise 1: Create DB and Table
3.4-INSERT
3.5-INSERT in BigQuery
3.6-Import data from File
3.7-Importing data from File using BigQuery Web User Interface
3.8-File Upload in Google Big Query through Google cloud sdk
3.9-Importing data from Google Drive
3.10-Exercise 2: Inserting and Importing
3.11-SELECT
3.12-Quick coding exercise on Select Statement
3.13-SELECT in BigQuery
3.14-SELECT DISTINCT
3.15-Quick coding exercise on Distinct Command
3.16-SELECT DISTINCT in BigQuery
3.17-WHERE
3.18-Quick coding exercise on Where Statement
3.19-WHERE in BigQuery
3.20-Logical Operators - AND, OR, NOT
3.21-Quick coding exercise on Logical Operators
3.22-Logical Operators in BigQuery
3.23-Exercise 3: SELECT & WHERE
3.24-UPDATE
3.25-Quick coding exercise on Update Command
3.26-UPDATE in BigQuery
3.27-DELETE
3.28-Quick coding exercise on Delete Command
3.29-DELETE in BigQuery
3.30-ALTER
3.31-ALTER in BigQuery
3.32-Exercise 4: Updating Table
3.33-Quiz
4-Restore and Back-up
5
4.1-Restore and Back-up
4.2-Debugging Restoration
4.3-Creating DB using CSV files
4.4-Data Set creation in BigQuery
4.5-Exercise 5: Restore and Back-up
5-Selection commands: Filtering
11
5.1-IN
5.2-Quick coding exercise on IN operator
5.3-IN in BigQuery
5.4-BETWEEN
5.5-BETWEEN in BigQuery
5.6-Quick coding exercise on Between Operator
5.7-LIKE
5.8-Quick coding exercise on Like operator
5.9-LIKE in BigQuery
5.10-Exercise 6: In, Like & Between
5.11-Quiz
6-Selection commands: Ordering
7
6.1-ORDER BY
6.2-Quick coding exercise on Order by Clause
6.3-ORDER BY in BigQuery
6.4-LIMIT
6.5-Quick coding exercise on Limit Command
6.6-LIMIT in BigQuery
6.7-Exercise 7: Sorting
7-Alias
3
7.1-AS
7.2-Quick coding exercise on AS operator
7.3-AS in BigQuery
8-Aggregate Commands
14
8.1-COUNT
8.2-Quick coding exercise on Count function
8.3-COUNT in BigQuery
8.4-SUM
8.5-Quick coding exercise on Sum function
8.6-SUM in BigQuery
8.7-AVERAGE
8.8-Quick coding exercise on Average function
8.9-AVERAGE in BigQuery
8.10-MIN MAX
8.11-Quick coding exercise on MIN & MAX function
8.12-MIN MAX in BigQuery
8.13-Exercise 8: Aggregate functions
8.14-Quiz
9-Group By Commands
8
9.1-GROUP BY
9.2-Quick coding exercise on Group By Clause
9.3-GROUP BY in BigQuery
9.4-HAVING
9.5-Quick coding exercise on Having Clause
9.6-HAVING in BigQuery
9.7-Exercise 9: Group By
9.8-Quiz
10-Conditional Statement
3
10.1-CASE WHEN
10.2-Quick coding exercise on CASE WHEN Statement
10.3-CASE WHEN in BigQuery
11-JOINS
29
11.1-Introduction to Joins
11.2-Concepts of Joining and Combining Data
11.3-Preparing the data
11.4-Creating Datasets for Joins in BigQuery
11.5-Inner Join
11.6-Quick coding exercise on Inner Join
11.7-INNER JOIN in BigQuery
11.8-Left Join
11.9-Quick coding exercise on Left Join
11.10-LEFT JOIN in BigQuery
11.11-Right Join
11.12-Quick coding exercise on Right Join
11.13-RIGHT JOIN in BigQuery
11.14-Full Outer Join
11.15-Quick coding exercise on Full Outer Join
11.16-FULL OUTER JOIN in BigQuery
11.17-Cross Join
11.18-Quick coding exercise on Cross Join
11.19-CROSS JOIN in BigQuery
11.20-Intersect and Intersect ALL
11.21-Quick coding exercise on Intersect and Intersect ALL
11.22-Except
11.23-Quick coding exercise on Except
11.24-EXCEPT in BigQuery
11.25-Union
11.26-Quick coding exercise on Union Operator
11.27-UNION in BigQuery
11.28-Exercise 10: Joins
11.29-Quiz
12-SUBQUERIES
4
12.1-Subqueries
12.2-Quick coding exercise on Subquery
12.3-Subqueries in BigQuery
12.4-Exercise 11: Subqueries
13-Fun way to practice SQL
1
13.1-Solve Murder Mystery using SQL
14-Views and Indexes
9
14.1-Views
14.2-Quick coding exercise on Views
14.3-Views in BigQuery
14.4-Index
14.5-Quick coding exercise on Index
14.6-Index in BigQuery
14.7-How Index works in SQL
14.8-Exercise 12: Views
14.9-Quiz
15-String Functions
21
15.1-LENGTH
15.2-Quick coding exercise on LENGTH function
15.3-LENGTH in BigQuery
15.4-UPPER LOWER
15.5-Quick coding exercise on UPPER LOWER function
15.6-Changing Case in BigQuery
15.7-REPLACE
15.8-Quick coding exercise on REPLACE function
15.9-REPLACE in BigQuery
15.10-TRIM, LTRIM, RTRIM
15.11-Quick coding exercise on TRIM, LTRIM, RTRIM functions
15.12-TRIM, LTRIM, RTRIM in BigQuery
15.13-CONCATENATION
15.14-Quick coding exercise on CONCATENATION function
15.15-CONCATENATION in BigQuery
15.16-SUBSTRING
15.17-Quick coding exercise on SUBSTRING function
15.18-SUBSTRING
15.19-LIST AGGREGATION
15.20-LIST AGGREGATION
15.21-Exercise 13: String Functions
16-Mathematical Functions
14
16.1-CEIL & FLOOR
16.2-Quick coding exercise on CEIL & FLOOR functions
16.3-CEIL & FLOOR in BigQuery
16.4-RANDOM
16.5-RANDOM in BigQuery
16.6-SETSEED
16.7-SETSEED in BigQuery
16.8-ROUND
16.9-Quick coding exercise on ROUND function
16.10-POWER
16.11-Quick coding exercise on POWER function
16.12-POWER in BigQuery
16.13-Exercise 14: Mathematical Functions
16.14-Quiz
17-Date-Time Functions
9
17.1-CURRENT DATE & TIME
17.2-Quick coding exercise on CURRENT DATE & TIME function
17.3-CURRENT DATE & TIME in BigQuery
17.4-AGE
17.5-AGE in BigQuery
17.6-EXTRACT
17.7-EXTRACT in BigQuery
17.8-Exercise 15: Date-time functions
17.9-Quiz
18-PATTERN (STRING) MATCHING
6
18.1-PATTERN MATCHING BASICS
18.2-Quick coding exercise on Pattern Matching Basics
18.3-ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS)
18.4-PATTERN MATCHING in BigQuery
18.5-Exercise 16: Pattern Matching
18.6-Quiz
19-Google Data Studio for visualizing BigQuery Data
6
19.1-Google Data Studio for visualizing BigQuery Data
19.2-Showcasing SQL Skills with HackerRank Stars
19.3-Comprehensive Interview Preparation Questions
19.4-Practical Task 1
19.5-Practical Task 2
19.6-The final milestone!
20-Congratulations & about your certificate
2
20.1-About your certificate
20.2-Bonus Lecture