Free Download Google Bigquery The 2024 Ultimate Guide For Data Pros
Published 4/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.66 GB | Duration: 5h 41m
The most complete and advanced course for BigQuery (Google Big Query)
What you'll learn
Introduction to BigQuery: Key Concepts and Functions - Understand the core structure and capabilities of Google BigQuery for data analysis
Data Analytics with Google Analytics: GA4 and Universal Analytics - Gain proficiency in analyzing data using both GA4 and Universal Analytics within BigQuery.
Advanced Data Manipulation Techniques - Learn sophisticated methods for querying and transforming data sets in BigQuery.
Data Engineering Essentials: Integrating Python and More - Discover how to enhance BigQuery projects with Python scripting and other data engineering tools.
Requirements
SQL
Data Analysis
Description
The Ultimate BigQuery CourseThe most comprehensive training for data & analytics professionals.Having used the BigQuery tool on a daily basis for over 6 years, I've included in this course everything you need to know to leverage the full potential of BigQuery.Included with the course: Training materials (276-page PDF)What you'll learn:Introduction to BigQueryNavigating the InterfaceSQL Fundamentals ReviewKey Functions to Master in BigQueryBest PracticesCore Concepts in BigQueryExporting Data to Google SheetsExporting Data to Google Cloud StorageNESTED TablesUsing BigQuery for Google Analytics (GA4 & GA360)Dashboards & ReportingBigQuery & Python (data engineering), going beyond SQL with BigQueryYour InstructorWith over 8 years of experience in Data Analytics (e.g., LVMH, L'Oréal...) and founder of GAMMA (a data analytics specialized agency).I have trained hundreds of Digital & Data Analysts on BigQuery, specifically on Digital Analytics usage (deep knowledge of GA360 & GA4).I will guide you throughout the online course and am available to answer questions.Have a question?Feel free to send your questions to my email (on the last chapter of the training session)Why subscribing ?Join me on this journey to unlock the full power of BigQuery, enhancing your data analytics skills and opening up new career opportunities. This course is more than just an educational program; it's an investment in your professional future. With practical examples, interactive exercises, and continuous support, you're not just learning BigQuery-you're preparing to lead in the data-driven world of tomorrow. Let's embark on this transformative learning experience together.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Getting Started with BigQuery
Lecture 2 Navigating the Tool and Its Interface
Lecture 3 Setting Up a Demo Account
Section 3: SQL Fundamentals : A Refresher Course
Lecture 4 SQL basics
Lecture 5 How to write a query
Lecture 6 Comparison operators for SQL
Lecture 7 JOIN & Exercices
Section 4: Mastering BigQuery: Essential Functions & Clauses Unveiled
Lecture 8 Key functions
Lecture 9 Exercices, Table & date functions
Lecture 10 Exercices & advanced functions
Lecture 11 Create tables & functions
Lecture 12 Best practices
Section 5: BigQuery Essentials: Understanding Core Concepts and Features
Lecture 13 BigQuery concepts
Lecture 14 Sharded/partitioned tables & how to inject data into BigQuery
Lecture 15 INSERT/DELETE into table, Google sheets connector & google cloud storage
Lecture 16 Using cloud function to export data
Section 6: Working with Nested Tables in BigQuery: A Comprehensive Guide
Lecture 17 NESTED tables
Section 7: Google Analytics with BigQuery: Navigating GA4 and Universal Analytics Tables
Lecture 18 Google Analytics in BigQuery - GA4 & Universal Analytics
Section 8: Dashboard and Reporting Mastery: Demonstrations with Looker Studio
Lecture 19 Dashboards & reports
Section 9: Data Engineering with python: Integrating BigQuery for Advanced Data Solutions
Lecture 20 Data engineering with Python for BigQuery
Section 10: Thank you !
Lecture 21 Thank you !
BigQuery,Big Query,Data analysis,Google Cloud plateform,GCP,SQL,GA4,Google Analytics,Data Engineering,Analytics
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