Google Bigquery For Programmers: Analyze & Visualize

Advance your career with Google BigQuery: Become a sought-after data analyst with in-demand skills

What you'll learn

Master BigQuery data analysis using SQL, manipulating large datasets with ease.

Create compelling data visualizations to effectively communicate insights

Integrate BigQuery into programming projects for data-driven applications.

Understand the principles of data warehousing and BigQuery's advantages.

Apply basic machine learning models to data for predictive analysis.

Gain hands-on experience with real-world datasets through projects.

Requirements

Basic SQL Knowledge: Understanding fundamental SQL concepts like SELECT, FROM, WHERE, JOIN, etc., is crucial to effectively query and manipulate data in BigQuery.

Active Google Cloud Platform (GCP) Account: Students need a GCP account to access BigQuery and follow along with the course.

Description

In today's digital world, data is overwhelming. Businesses and individuals alike collect vast amounts of information, but often struggle to extract meaningful insights. Raw data holds incredible potential, but without the right tools and expertise, it remains untapped.This comprehensive course empowers you to harness the power of Google Cloud Platform BigQuery. Learn to efficiently store massive datasets, perform complex analysis, create compelling visualizations, and even apply machine learning models. Transform your data into actionable strategies that give you a competitive edge.What you will learn in the course:Master Data Warehousing: Understand the principles and advantages of a modern data warehouse, and how BigQuery revolutionizes data storage.Unlock Data's Potential: Learn to look at your data as a goldmine of insights. Discover how to ask the right questions and extract patterns and trends.Extract Meaningful Insights: Develop expertise in data manipulation and analysis, empowering you to uncover hidden patterns and correlations.Visualize Your Data: Translate complex data into visually stunning graphs, charts, and dashboards that communicate information effectively.Apply Machine Learning: Gain a practical understanding of how to build and apply machine learning models, enabling you to predict future outcomes.Detailed information.Introduction to BigQuery: Demystify data warehousing, explore BigQuery's interface, and learn how to set up your environment.Data Loading and Manipulation: Import data from various sources, clean and prepare it for analysis, and master SQL queries for data exploration.Advanced Analytics: Dive into statistical techniques, aggregations, and complex calculations to reveal deeper insights.Data Visualization Best Practices: Create impactful dashboards that tell compelling stories, using color, design, and interactivity.Machine Learning Fundamentals: Explore predictive modeling, understand common algorithms, and experiment with BigQuery ML capabilities.Real-World Projects: Apply your newfound skills through hands-on projects, working with real-life datasets.About Your Instructor:Shay Tavor is a highly qualified and experienced Google Cloud Platform (GCP) expert, holding certifications as an engineer, architect, and trainer. With over two years of expertise in cloud consulting and training, he brings real-world insights and proven teaching methods to his courses. Shay's passion for data analytics is evident, and he empowers students to discover the hidden potential within their datasets using the powerful tools available within GCP BigQuery.Ready to elevate your data analysis skills and unlock a world of exciting career opportunities? Enroll in our Google BigQuery course today and become a highly marketable data expert! Master the art of extracting actionable insights from massive datasets, create stunning visualizations that tell compelling data stories, and even apply machine learning to predict future outcomes. With hands-on projects and expert guidance from Shay Tavor, you'll gain in-demand skills that set you apart in the competitive job market. Don't miss out on this transformative opportunity – enroll now and start building a powerful data-driven future!

Overview

Section 1: Welcome to the Course

Lecture 1 Welcome to the Course

Lecture 2 Creating GCP Account

Section 2: Introduction to BigQuery

Lecture 3 Introduction

Lecture 4 Tables Structure

Lecture 5 Slots

Lecture 6 Data Structure

Lecture 7 Demo - create a Data Set

Lecture 8 Create Empty Table

Lecture 9 Create Table from a Query

Lecture 10 Create Table from Source Data

Lecture 11 Exercise 1 - Create Tables

Lecture 12 Exercise 1 Solution

Section 3: SQL

Lecture 13 Introduction to SQL

Lecture 14 The Select Statement

Lecture 15 Join

Lecture 16 Aggregate Functions

Lecture 17 Group By

Lecture 18 Exercise 2 - SQL Queries

Lecture 19 Exercise 2 Solution

Section 4: Querying Data in BigQuery

Lecture 20 Section overview

Lecture 21 Dataset Overview

Lecture 22 Run Query

Lecture 23 More Queries

Lecture 24 Union Queries

Lecture 25 Generating Codes Table

Lecture 26 Exercise 3 - Qurying in BigQuery

Lecture 27 Exercise 3 Solution

Section 5: Advanced Features

Lecture 28 Normallization

Lecture 29 Nested and Repeated Fields

Lecture 30 Creating Tables with Nested Values

Lecture 31 Querying Nested and Repeated Fields

Lecture 32 Partitioning

Lecture 33 Creating Partitioned Table

Lecture 34 Clustering

Lecture 35 Exercise 4 - Nested and repeated Fields

Section 6: Data Visualization

Lecture 36 Introduction to Data Visuallization

Lecture 37 Open Looker Studio

Lecture 38 Looker Studio UI

Lecture 39 Scoreboard

Lecture 40 Pie and Line Charts

Lecture 41 Calculated Fields

Lecture 42 Bar Chart

Lecture 43 Box Plot

Lecture 44 Exercise 5 - Visualizing Data

Section 7: Data Cleaning and Preperation

Lecture 45 Intro to data preperation

Lecture 46 Data Cleaning Challenges

Lecture 47 Dataset Overview

Lecture 48 Deleteing Columns

Lecture 49 Removing Duplications

Lecture 50 Remove Null Values

Lecture 51 Categorize Strings

Lecture 52 Visualizing the Data

Lecture 53 Removing Outliers

Lecture 54 Recap

Lecture 55 Exercise 6 - Cleaning Data

Section 8: Machine Learning with BigQuery

Lecture 56 Introduction to Machine Learning

Lecture 57 Linear Regression

Lecture 58 Create Model

Lecture 59 Evaluate Model

Lecture 60 Running Evaluation in Bigquery

Lecture 61 Making Predictions

Lecture 62 Exercise 7 - Create a Machine Learning Model

Section 9: Course Summary

Lecture 63 Course Summary

Section 10: Extra Information - Source code, and other stuff

Lecture 64 Source Codes

Lecture 65 Bonus Lecture and Information

A programmer ready to elevate your projects: You want to integrate robust data analysis, compelling visualizations, and even predictive capabilities into your applications. BigQuery offers the tools and scalability to make your projects truly data-driven.,A data analyst seeking efficiency and power: You work with large datasets and traditional tools are hindering your insights. You're eager to explore the speed, advanced analytics, and cloud-based scalability that BigQuery provides.,A business intelligence professional looking for an edge:. You want to go beyond basic reports and uncover deeper trends, create interactive dashboards, and confidently use data to drive strategic decisions.