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  • Google BigQuery for Programmers: Analyze & Visualize

Google BigQuery for Programmers: Analyze & Visualize

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

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Shay Tavor
Data Science
(23 reviews)
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  • Overview
  • Curriculum
  • Instructor
  • Reviews

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!

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.

What you will 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.

Who should attend

  • 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.

Is available on google app?

Yes

Is available on ios?

Yes

Course Features

  • Lectures 65
  • Quizzes 0
  • Exercises 0
  • Duration 4 total hours
  • Skill level Beginner Level
  • Students 336
  • Last Updated May, 2025
  • Welcome to the Course 05:30

    • Lecture
      Welcome to the Course 02:45
    • Lecture
      Creating GCP Account 02:45
  • Introduction to BigQuery 34:14

    • Lecture
      Introduction 03:31
    • Lecture
      Tables Structure 02:02
    • Lecture
      Slots 01:04
    • Lecture
      Data Structure 02:11
    • Lecture
      Demo - create a Data Set 02:53
    • Lecture
      Create Empty Table 03:36
    • Lecture
      Create Table from a Query 02:35
    • Lecture
      Create Table from Source Data 03:54
    • Lecture
      Exercise 1 - Create Tables 03:55
    • Lecture
      Exercise 1 Solution 08:33
  • SQL 15:16

    • Lecture
      Introduction to SQL 02:36
    • Lecture
      The Select Statement 02:38
    • Lecture
      Join 02:52
    • Lecture
      Aggregate Functions 02:23
    • Lecture
      Group By 01:44
    • Lecture
      Exercise 2 - SQL Queries 00:58
    • Lecture
      Exercise 2 Solution 02:05
  • Querying Data in BigQuery 29:01

    • Lecture
      Section overview 00:58
    • Lecture
      Dataset Overview 04:34
    • Lecture
      Run Query 04:43
    • Lecture
      More Queries 05:46
    • Lecture
      Union Queries 05:11
    • Lecture
      Generating Codes Table 03:39
    • Lecture
      Exercise 3 - Qurying in BigQuery 01:13
    • Lecture
      Exercise 3 Solution 02:57
  • Advanced Features 35:15

    • Lecture
      Normallization 04:49
    • Lecture
      Nested and Repeated Fields 02:35
    • Lecture
      Creating Tables with Nested Values 06:36
    • Lecture
      Querying Nested and Repeated Fields 09:39
    • Lecture
      Partitioning 03:15
    • Lecture
      Creating Partitioned Table 02:47
    • Lecture
      Clustering 02:03
    • Lecture
      Exercise 4 - Nested and repeated Fields 03:31
  • Data Visualization 23:53

    • Lecture
      Introduction to Data Visuallization 01:20
    • Lecture
      Open Looker Studio 01:53
    • Lecture
      Looker Studio UI 02:23
    • Lecture
      Scoreboard 03:31
    • Lecture
      Pie and Line Charts 05:50
    • Lecture
      Calculated Fields 02:08
    • Lecture
      Bar Chart 00:58
    • Lecture
      Box Plot 04:24
    • Lecture
      Exercise 5 - Visualizing Data 01:26
  • Data Cleaning and Preperation 59:59

    • Lecture
      Intro to data preperation 02:16
    • Lecture
      Data Cleaning Challenges 07:08
    • Lecture
      Dataset Overview 02:54
    • Lecture
      Deleteing Columns 10:42
    • Lecture
      Removing Duplications 03:08
    • Lecture
      Remove Null Values 06:49
    • Lecture
      Categorize Strings 07:03
    • Lecture
      Visualizing the Data 10:33
    • Lecture
      Removing Outliers 02:25
    • Lecture
      Recap 04:25
    • Lecture
      Exercise 6 - Cleaning Data 02:36
  • Machine Learning with BigQuery 29:51

    • Lecture
      Introduction to Machine Learning 06:20
    • Lecture
      Linear Regression 08:11
    • Lecture
      Create Model 03:56
    • Lecture
      Evaluate Model 03:12
    • Lecture
      Running Evaluation in Bigquery 02:17
    • Lecture
      Making Predictions 04:33
    • Lecture
      Exercise 7 - Create a Machine Learning Model 01:22
  • Course Summary 01:36

    • Lecture
      Course Summary 01:36
  • Extra Information - Source code, and other stuff 05:01

    • Lecture
      Source Codes 00:12
    • Lecture
      Bonus Lecture and Information 04:49
Shay Tavor
Software Engineer I have more than 15 years of instructing experience - both in academy and industry. I teach students from all levels of knowledge and know how to explain everything to everyone. I teach… View Profile
Tim Buchalka's Learn Programming Academy
Professional Programmers and Teachers - 323,000+ students The Learn Programming Academy was created by Tim Buchalka, a software developer with 35 years experience, who is also an instructor on Udemy, with over 335,000 students in his courses… View Profile

Student Feedback

4.2
23 Average ratings
35%
39%
22%
4%
0%
  • 11 months ago

    Rohith Raj Methari

    good

  • 1 year ago

    Bamidele Lawrence Bayode

    It is a great introduction summary into Big Query; it is straight and direct to the point!

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