Google BigQuery & PostgreSQL : Big Query for Data Analysis
Google BigQuery & PostgreSQL : Big Query for Data Analysis, available at $89.99, has an average rating of 4.62, with 147 lectures, 52 quizzes, based on 1372 reviews, and has 159951 subscribers.
You will learn about 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 This course is ideal for individuals who are Working Professionals beginning their Data journey or Anyone curious to master SQL from beginner to Advanced in short span of time It is particularly useful for Working Professionals beginning their Data journey or Anyone curious to master SQL from beginner to Advanced in short span of time.
Enroll now: Google BigQuery & PostgreSQL : Big Query for Data Analysis
Summary
Title: Google BigQuery & PostgreSQL : Big Query for Data Analysis
Price: $89.99
Average Rating: 4.62
Number of Lectures: 147
Number of Quizzes: 52
Number of Published Lectures: 140
Number of Published Quizzes: 50
Number of Curriculum Items: 199
Number of Published Curriculum Objects: 190
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- Working Professionals beginning their Data journey
- Anyone curious to master SQL from beginner to Advanced in short span of time
Target Audiences
- Working Professionals beginning their Data journey
- Anyone curious to master SQL from beginner to Advanced in short span of time
6 Reasons why you should choose this PostgreSQL and BigQuery course
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Carefully designed curriculum teaching you everything in SQL and Google BigQuery that you will need for Data analysis in businesses
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Comprehensive – covers basic and advanced SQL statements in both PostgreSQL and Google BigQuery
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Business related examples and case studies on SQL and Google BigQuery
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Ample practice exercises on Google BigQuery because SQL and Google BigQuery require practice
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Downloadable resources on SQL and Google BigQuery
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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?
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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.
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It is not really difficult to learn SQL. SQL is not a programming language, itβs 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.
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SQL is one of the most sought-after skills by hiring employers.
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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?
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Start learning from the basics of SQL. The first 10 sections of the course cover the basics.
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Once done with the basics, try your hands on advanced SQL. Next 10 sections cover Advanced topics
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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.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome to the Course
Lecture 2: Course Flow
Lecture 3: Course Resources
Chapter 2: Installation and getting started
Lecture 1: This is a milestone!
Lecture 2: Installing PostgreSQL and pgAdmin in your PC
Lecture 3: If pgAdmin is not opening…
Lecture 4: Setting up BigQuery on Google Cloud Platform
Lecture 5: BigQuery Interface
Chapter 3: Fundamental SQL statements
Lecture 1: CREATE
Lecture 2: CREATE in BigQuery
Lecture 3: Exercise 1: Create DB and Table
Lecture 4: INSERT
Lecture 5: INSERT in BigQuery
Lecture 6: Import data from File
Lecture 7: Importing data from File using BigQuery Web User Interface
Lecture 8: File Upload in Google Big Query through Google cloud sdk
Lecture 9: Importing data from Google Drive
Lecture 10: Exercise 2: Inserting and Importing
Lecture 11: SELECT
Lecture 12: SELECT in BigQuery
Lecture 13: SELECT DISTINCT
Lecture 14: SELECT DISTINCT in BigQuery
Lecture 15: WHERE
Lecture 16: WHERE in BigQuery
Lecture 17: Logical Operators – AND, OR, NOT
Lecture 18: Logical Operators in BigQuery
Lecture 19: Exercise 3: SELECT & WHERE
Lecture 20: UPDATE
Lecture 21: UPDATE in BigQuery
Lecture 22: DELETE
Lecture 23: DELETE in BigQuery
Lecture 24: ALTER
Lecture 25: ALTER in BigQuery
Lecture 26: Exercise 4: Updating Table
Chapter 4: Restore and Back-up
Lecture 1: Restore and Back-up
Lecture 2: Debugging Restoration
Lecture 3: Creating DB using CSV files
Lecture 4: Data Set creation in BigQuery
Lecture 5: Exercise 5: Restore and Back-up
Chapter 5: Selection commands: Filtering
Lecture 1: IN
Lecture 2: IN in BigQuery
Lecture 3: BETWEEN
Lecture 4: BETWEEN in BigQuery
Lecture 5: LIKE
Lecture 6: LIKE in BigQuery
Lecture 7: Exercise 6: In, Like & Between
Chapter 6: Selection commands: Ordering
Lecture 1: ORDER BY
Lecture 2: ORDER BY in BigQuery
Lecture 3: LIMIT
Lecture 4: LIMIT in BigQuery
Lecture 5: Exercise 7: Sorting
Chapter 7: Alias
Lecture 1: AS
Lecture 2: AS in BigQuery
Chapter 8: Aggregate Commands
Lecture 1: COUNT
Lecture 2: COUNT in BigQuery
Lecture 3: SUM
Lecture 4: SUM in BigQuery
Lecture 5: AVERAGE
Lecture 6: AVERAGE in BigQuery
Lecture 7: MIN MAX
Lecture 8: MIN MAX in BigQuery
Lecture 9: Exercise 8: Aggregate functions
Chapter 9: Group By Commands
Lecture 1: GROUP BY
Lecture 2: GROUP BY in BigQuery
Lecture 3: HAVING
Lecture 4: HAVING in BigQuery
Lecture 5: Exercise 9: Group By
Chapter 10: Conditional Statement
Lecture 1: CASE WHEN
Instructors
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Start-Tech Academy
5,000,000+ Enrollments | 4.5 Rated | 160+ Countries
Rating Distribution
- 1 stars: 23 votes
- 2 stars: 26 votes
- 3 stars: 147 votes
- 4 stars: 494 votes
- 5 stars: 682 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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