Udemy

Google BigQuery for Programmers: Analyze & Visualize

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  • 409 Students
  • Updated 4/2025
4.4
(36 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 59 Minute(s)
Language
English
Taught by
Tim Buchalka's Learn Programming Academy, Shay Tavor
Rating
4.4
(36 Ratings)
2 views

Course Overview

Google BigQuery for Programmers: Analyze & Visualize

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

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!

Course Content

  • 10 section(s)
  • 65 lecture(s)
  • Section 1 Welcome to the Course
  • Section 2 Introduction to BigQuery
  • Section 3 SQL
  • Section 4 Querying Data in BigQuery
  • Section 5 Advanced Features
  • Section 6 Data Visualization
  • Section 7 Data Cleaning and Preperation
  • Section 8 Machine Learning with BigQuery
  • Section 9 Course Summary
  • Section 10 Extra Information - Source code, and other stuff

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.

Reviews

  • R
    Rohith Raj Methari
    4.5

    good

  • B
    Bamidele Lawrence Bayode
    5.0

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

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