The Complete Google BiqQuery Masterclass Beginner to Expert
What you’ll learn
What is google Bigquery?
Google Bigquery in analytics
Bigquery for Google Analytics
Master all the important concepts of Google BigQuery
Digital Marketers will be able to create their own analysis sheet using BigQuery
Students will be expert in Arrays, UNNEST, STRUCT, CTE, Derived Tables, Structed data, unstructured data, etc
Master all the concepts of SQL in Big Query
Can write all the commands like Joins, Group by, Order By, Having clause, SubQueries, etc.
Create tables with partitioning
Can easily connect the Google BigQuery to Google Data Studio
Learning based on real time project which helps students to apply the concepts in his job
Helps the students to be Job ready in Google BigQuery
The SQL command learned in Google Bigquery can also be used in other Database tools like mySQL, Oracle, SQL Server, SQLite, PostGreSQL, etc
Requirements
A Free Google account(Free Gmail account)
PC with Internet connection
Knowledge of Digital marketing will be even better although it is not required at all.
Description
‘Using this Course, you will master Google BigQuery( BigQuery) and you can apply the SQL queries used in this course in any other Database management tool in Oracle, MySql, PostgreSQL, Microsoft Access, SQLite, and DB2’.”Welcome to the most popular Quality complete Course on Google BigQuery(Big Query). This is a complete Google google bigquery training”Master all the important concepts of Google BigQueryDigital Marketers will be able to create their own analysis sheetStudents will be expert in arrays, UNNEST, STRUCT, CTE, Derived Tables, etcMaster all the concepts of SQL in BigQueryCan write all the commands like Joins, Group by, Order By, Having clause, SubQueries, etc.Create tables with partitioningCan easily connect the Google BigQuery to Google Data StudioLearning based on a real-time project helps students to apply the concepts in his jobHelps the students to be Job ready in Google BigQueryBigquery for Google Analytics========================================================================Join this course which is the best “Google BigQuery” course. I will share all the syntax of BigQuery SQL with multiple examples along the way!!!Want to start learning SQL from scratch with no previous coding experience?You have come to the right place. Please have a look at the Course content carefully and ask a few questions from yourself?I have shared all the codes which are used in this courseIs the Course taught by a real-time expert? I have more than 15 years of experience as an Instructor and more than 10 years of experience in SQL along with Big Query. I firmly believe that if an Instructor does not have a good experience, he/she will flood the course with poor content.Is the Course content clear and Precise? The content is short, crisp, and clear.The course assumes no prior knowledge of Google BigQuery(BigQuery) and teaches you from scratch to an advanced levelOnce you Enroll for this Course, you get lifetime access to this course and you will get all the future updates.The course does not cover T-SQL directly but it will help you to learn T-SQL also.This will also help you to link Google Data studio with Google Big QueryIf you aspire to be a data scientist, data analyst, SQL Developer, etc, then it is going to help you a lot.If you plan to work with other databases like Oracle, MySQL, SQLite, PostgreSQL, etc, it will be extremely helpful.If you are a data scientist (Data Analysis role) or willing to become a data scientist, then SQL is a must and this course helps in data analytics.Do you want to start on Google BigQuery but have no experience with SQL?If you have some prior knowledge on Google BigQuery or if you are a complete fresher, you are at the right place. The Course teaches you to Google Big Query with SQL right from Scratch. It will be the best course for absolute beginners.There’s no risk involved in taking this Course!I am sure that this is the best complete course on Google BigQuery and SQL and it is the perfect starting point to master complete BigQuery and SQL.What if you are stuck?I personally answer all the questions which are asked here. If you are stuck anywhere, ask a question or you can message me directly and I will answer all your doubts.Are you getting updated content?Yes, I keep updating the content always to make sure, I provide all the information to my students.Once you enroll for this course-Google bigquery in analyticsWhat is google bigquery?How to use google bigqueryComplete Google bigquery tutorial and course which covers everything step by step You can easily analyze the google bigquery public datasetsMaster the datasets and tables in BigQueryUpload files from multiple ways to tableAll major SQL Statements in Google Big Query like below -Different SELECT StatementsSELECT statements with conditionsFilter the Records in Google Big QueryCopy records from one table to another table in Big QueryAll the major numerical, Date, and String Functions of SQL with functions which are only present in Big QueryYou will master all the special operatorsJoins, SubQueries, UNIONs are covered in detailCTE and Derived tables are explained beautifully with a lot of examplesFind a pattern of records in Google Big QueryI have explained the concepts of Arrays, Struct, UNNEST, etc in detail which you will not find in any other courseAll the major functions which are exclusively available in Google BigQuery is covered with easy-going examples which are real-timeGoogle bigquery data types are shown clearlyCreation of tables and views are covered with real-time examplesInserting Record into a table is shown.I am going to cover all google bigquery sql statements.The course is packed with multiple real-time google bigquery examples.Note: This course is about Google BigQuery but it will also help you to learn SQL which can be used on Microsoft SQL Server, Oracle, MySql, PostgreSQL, SQLite, DB2, etc.Certification:Once you complete the course, you will get a course completion “Google Bigquery Certification” by Udemy
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 What is Google BigQuery and Why it is used?
Lecture 3 Setting up the BigQuery Sandbox account
Lecture 4 Explaining about Datasets and tables
Lecture 5 Uploading files from local to create tables under a dataset
Lecture 6 Overwrite a file
Lecture 7 Executing multiple Queries
Section 2: Retrieve the records
Lecture 8 SELECT Statement and SELECT DISTINCT
Lecture 9 SQL Code used
Lecture 10 CASE with SELECT Statement
Lecture 11 SQL Code used
Lecture 12 WHERE Clause and Comparison operator in WHERE Clause
Lecture 13 SQL Code used
Lecture 14 Logical Operators in WHERE Clause
Lecture 15 SQL Code used
Lecture 16 Copy Table to another table
Lecture 17 Arithmetic operators
Lecture 18 SQL Code used
Lecture 19 Order of execution with WHERE clause
Lecture 20 COUNT the rows from table
Lecture 21 SQL Code used
Section 3: Special Operators
Lecture 22 NULL and NOT NULL
Lecture 23 SQL Code used
Lecture 24 BETWEEN and NOT BETWEEN operator
Lecture 25 SQL Code used
Lecture 26 IN and NOT IN Operator
Lecture 27 SQL Code used
Lecture 28 LIKE Operator
Lecture 29 SQL Code used
Section 4: Sorting and grouping records
Lecture 30 ORDER BY Clause
Lecture 31 SQL Code used
Lecture 32 ORDER BY column position
Lecture 33 SQL Code used
Lecture 34 GROUP BY clause
Lecture 35 SQL Code used
Lecture 36 ORDER OF execution with GROUP BY and ORDER BY
Lecture 37 SQL Code used
Section 5: Google BigQuery SQL Functions
Lecture 38 Other Numerical functions
Lecture 39 SQL Code used
Lecture 40 String Functions
Lecture 41 SQL Code used
Lecture 42 Ltrim, rtrim, trim and strpos string functions
Lecture 43 SQL Code used
Lecture 44 replace, repeat, reverse and substr functions
Lecture 45 SQL Code used
Lecture 46 Date Functions in Google BigQuery
Lecture 47 SQL Code used
Lecture 48 Date Functions in Google BigQuery continued
Lecture 49 SQL Code used
Lecture 50 Strange behavior of BigQuery parser with GROUP BY and column Alias
Lecture 51 SQL Code used
Lecture 52 HAVING Clause
Lecture 53 SQL Code used
Section 6: Joins and Subqueries
Lecture 54 Subquery
Lecture 55 SQL Code used
Lecture 56 Subqueries as column expressions
Lecture 57 SQL Code used
Lecture 58 UNION ALL operator
Lecture 59 SQL Code used
Lecture 60 INTERSECT DISTINCT operator
Lecture 61 SQL Code used
Lecture 62 EXCEPT DISTINCT operator
Lecture 63 SQL Code used
Lecture 64 INNER JOIN – Theory
Lecture 65 INNER JOINs
Lecture 66 SQL Code used
Lecture 67 LEFT Join – Theory
Lecture 68 Note about next Lecture
Lecture 69 LEFT JOIN Example
Lecture 70 SQL Code used
Lecture 71 RIGHT JOIN
Lecture 72 SQL Code used
Lecture 73 FULL JOIN
Lecture 74 SQL Code used
Lecture 75 CROSS JOIN
Lecture 76 SQL Code used
Section 7: Derived Tables and CTE
Lecture 77 Derived Tables – Part 1
Lecture 78 SQL Code used
Lecture 79 Derived Tables – Part 2
Lecture 80 SQL Code used
Lecture 81 Creating 2 tables using CSV for Project 1
Lecture 82 Get productid, Total Qty and profit using INNER JOIN and GROUP BY
Lecture 83 SQL Code used
Lecture 84 Getting the same result using derived tables
Lecture 85 SQL Code used
Lecture 86 Apply HAVING Clause on derived tables
Lecture 87 SQL Code used
Lecture 88 Derived Table with CASE with SELECT statement – Task and Solution
Lecture 89 SQL Code used
Lecture 90 Project 2 – Load 3 tables
Lecture 91 CTE – Theory
Lecture 92 Write SQL Query to get businessentityid and full name
Lecture 93 Solution and CTE Example
Lecture 94 SQL Code used
Lecture 95 CTE Example with 2 Tables
Lecture 96 SQL Code used
Lecture 97 CTE Example with 3 Tables
Lecture 98 SQL Code used
Section 8: Arrays, UNNEST, Struct, etc.
Lecture 99 Project 3 – Arrays
Lecture 100 Arrays in BigQuery
Lecture 101 SQL Code used
Lecture 102 Write the same query using CTE
Lecture 103 SQL Code used
Lecture 104 UNNEST in Arrays
Lecture 105 SQL Code used
Lecture 106 UNNEST() with CROSS JOIN
Lecture 107 SQL Code used
Lecture 108 GENERATE_ARRAY() function
Lecture 109 SQL Code used
Lecture 110 GENERATE_DATE_ARRAY() Function
Lecture 111 SQL Code used
Lecture 112 ARRAY_LENGTH() function
Lecture 113 SQL Code used
Lecture 114 STRUCT() Function
Lecture 115 SQL Code used
Lecture 116 Multiple Struct Statements
Lecture 117 SQL Code used
Lecture 118 Multiple Struct statements as arrays
Lecture 119 SQL Code used
Lecture 120 Joining multiple rows in Struct statements which has arrays
Lecture 121 SQL Code used
Lecture 122 Save Results of the Query
Lecture 123 Save the Result and get the output as flat tables
Lecture 124 SQL Code used
Lecture 125 Assignment – Using Multiple UNNEST functions
Lecture 126 SQL Code used
Lecture 127 Using Multiple UNNEST functions using CTE
Lecture 128 SQL Code used
Lecture 129 Assignment – UNNEST Function with SUM function
Lecture 130 SQL Code used
Lecture 131 ARRAY_AGG() Function
Lecture 132 SQL Code used
Lecture 133 Assignment – ARRAY_AGG() Function multiple times
Lecture 134 SQL Code used
Section 9: Final Project and Queries
Lecture 135 Project using bigquery-public-datasets
Lecture 136 Assignment – Analyzing the GA data using SELECT statement, group by, etc.
Lecture 137 SQL Code used
Lecture 138 Selecting Records for all the dates – not by partition.
Lecture 139 SQL Code used
Lecture 140 UNNEST multiple levels – Contains Assignment
Lecture 141 SQL Code used
Lecture 142 Exporting the BigQuery Data to Google Data Studio
Lecture 143 Keyboard Shortcuts in BigQuery
Lecture 144 SQL Dialects in BigQuery
Lecture 145 Optional – Identity and Access Management
Section 10: Create Tables
Lecture 146 Available Data types in BigQuery
Lecture 147 CREATE Table Statement
Lecture 148 SQL Code used
Lecture 149 CREATE IF NOT EXISTS and CREATE OR REPLACE TABLE
Lecture 150 SQL Code used
Lecture 151 CREATE TABLE with NOT NULL and Partition
Lecture 152 SQL Code used
Section 11: Views
Lecture 153 CREATE VIEWS
Lecture 154 SQL Code used
Lecture 155 CREATE or REPLACE VIEW or CREATE VIEW IF NOT EXISTS
Lecture 156 SQL Code used
Lecture 157 Dropping a view
Lecture 158 SQL Code used
Section 12: Insert Records
Lecture 159 CREATE TABLE with columns manually
Lecture 160 INSERT Statement
Lecture 161 SQL Code used
Section 13: Bonus Section – Thank You
Lecture 162 Bonus Lesson : Let us stay connected
A person who analyses the data regularly,Digital marketers,Data Scientists,Software Engineers,Professional who works on Google Cloud,Campaign Managers,Social Media aspirants/experts,SEO/SEM Managers,Who wants to master SQL using Big Query,Software Developers,Anyone who analyses Google Analytics data
Course Information:
Udemy | English | 8h 31m | 4.02 GB
Created by: Sandeep Kumar
You Can See More Courses in the Business >> Greetings from CourseDown.com