Google BigQuery for Programmers: Analyze & Visualize from Udemy

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.

Good to know

Know what's good

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Geared towards learners interested in the practical usage of Google Cloud Platform BigQuery for maximizing data-driven decision making

Taught by Shay Tavor, a highly qualified and experienced Google Cloud Platform (GCP) expert, holding certifications as an engineer, architect, and trainer

Develops skills in data warehousing, data analysis, and machine learning, which are core skills for data analysts and data engineers

Emphasizes hands-on projects and real-world datasets to provide a practical learning experience

May require prior experience with data analysis or a related field to fully benefit from the course

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Google BigQuery for Programmers: Analyze & Visualize with these activities:

Review Introduction to Data Warehousing

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Reinforce and improve understanding of data warehousing concepts covered in a prior course or training program.

Browse courses on Data Warehousing

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Study notes and materials from previous coursework or training program on data warehousing.
Review online resources, such as articles and tutorials, to refresh understanding of data warehousing fundamentals.
Complete practice exercises or quizzes to test knowledge of data warehousing concepts.

Review SQL basics and syntax

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Strengthen your understanding of SQL before diving into BigQuery.

Browse courses on SQL

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Go through your old SQL notes
Take a SQL practice quiz

Read 'BigQuery: The Definitive Guide' by Valliappa Lakshmanan

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Expand your knowledge and gain insights from industry experts

View Data Science on the Google Cloud Platform on Amazon

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Read chapters relevant to the covered topics in the course
Take notes and highlight important concepts

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Review SQL Fundamentals

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Strengthen your foundation in SQL to enhance your data analysis capabilities

Browse courses on SQL

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Read articles or watch videos on SQL basics
Practice writing simple SQL queries

Explore BigQuery Tutorials and Documentation

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Gain additional insights and resources to supplement course material

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Browse the BigQuery documentation and tutorials
Follow along with hands-on examples to reinforce concepts

Follow Tutorials on Advanced SQL Queries

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Develop and refine SQL querying skills by working through guided tutorials and exercises.

Browse courses on SQL

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Find online tutorials or courses that cover advanced SQL querying techniques.
Follow the instructions in the tutorials to complete SQL queries and exercises.
Experiment with different SQL queries to explore data and gain hands-on experience.

Answer Questions in Course Discussion Forums

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Deepen understanding of course material by actively engaging with peers and providing support.

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Regularly participate in the course discussion forums.
Identify questions from peers that align with the topics covered in the course.
Provide thoughtful and informative responses to help others understand the concepts.

Practice Write SQL Queries

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Help reinforce your understanding of query syntax and data manipulation techniques

Browse courses on SQL

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Create a new dataset and import a sample dataset into BigQuery
Write a query to select specific columns from the dataset
Use filters and operators to retrieve data based on specific criteria
Aggregate data using functions like SUM, COUNT, and AVG
Join multiple tables to combine data from different sources

Join a Study Group

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Collaborate with peers to enhance understanding and retention

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Find a group of students taking the same course
Meet regularly to discuss course material and work on assignments together

Complete Data Analysis Practice Problems

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Strengthen data analysis skills by solving practice problems and applying techniques learned in the course.

Browse courses on Data Analysis

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Find online platforms or resources that provide data analysis practice problems.
Select practice problems that align with the topics covered in the course.
Solve the practice problems using the techniques and concepts learned in the course.
Review solutions and identify areas for improvement.

Build a Dashboard to Visualize Data

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Deepen your understanding of data presentation and communication

Browse courses on Data Visualization

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Choose a dataset and identify the key metrics you want to visualize
Use BigQuery's visualization tools to create charts, graphs, and tables
Format the dashboard for readability and clarity
Share and discuss your dashboard with others

Contribute to BigQuery Open Source Community

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Gain practical experience and expand knowledge by contributing to the BigQuery open source community.

Browse courses on BigQuery

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Explore the BigQuery open source repositories on platforms like GitHub.
Identify issues or feature requests that align with personal interests or skills.
Submit pull requests or issue reports to contribute to the project.

Create a Data Visualization Dashboard

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Utilize skills learned in the course to build a data visualization dashboard that communicates insights effectively.

Browse courses on Data Visualization

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Choose a dataset that is relevant to the course topics.
Design a dashboard that effectively visualizes key insights from the dataset.
Implement the dashboard using tools such as Google Data Studio or Tableau.
Share the dashboard with peers or instructors for feedback and evaluation.

Develop a Machine Learning Model Using BigQuery ML

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Gain hands-on experience in applying machine learning to real-world data

Browse courses on Machine Learning

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Define the problem you want to solve and gather relevant data
Choose a suitable machine learning algorithm and train a model using BigQuery ML
Evaluate the performance of your model and make adjustments as needed
Deploy your model to make predictions on new data

Contribute to the BigQuery Community

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Engage with the broader community while deepening your understanding

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Identify areas where you can contribute your skills
Submit bug reports, suggest improvements, or create and share code samples

Career center

Learners who complete Google BigQuery for Programmers: Analyze & Visualize will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts collect, clean, and interpret data to help businesses make better decisions. This course provides a solid foundation for a career as a Data Analyst by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform statistical analysis, and create visualizations that communicate insights effectively.

See salaries and explore the career path for Data Analyst

Data Engineer

Data Engineers design, build, and maintain the systems that store and process data. This course provides a solid foundation for a career as a Data Engineer by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to create and manage BigQuery tables, write SQL queries to extract data, and perform ETL (Extract, Transform, Load) operations.

See salaries and explore the career path for Data Engineer

Data Scientist

Data Scientists use data to build models that can predict future outcomes. This course provides a solid foundation for a career as a Data Scientist by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform statistical analysis, and build machine learning models.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to identify opportunities and solve problems. This course provides a solid foundation for a career as a Business Analyst by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform statistical analysis, and create visualizations that communicate insights effectively.

See salaries and explore the career path for Business Analyst

Financial Analyst

Financial Analysts use data to make investment decisions. This course provides a solid foundation for a career as a Financial Analyst by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform financial analysis, and create visualizations that communicate insights effectively.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

Marketing Analysts use data to understand customer behavior and improve marketing campaigns. This course provides a solid foundation for a career as a Marketing Analyst by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform marketing analysis, and create visualizations that communicate insights effectively.

See salaries and explore the career path for Marketing Analyst

Operations Analyst

Operations Analysts use data to improve the efficiency of business operations. This course provides a solid foundation for a career as an Operations Analyst by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform operational analysis, and create visualizations that communicate insights effectively.

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Product Manager

Product Managers use data to develop and improve products. This course provides a solid foundation for a career as a Product Manager by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform product analysis, and create visualizations that communicate insights effectively.

See salaries and explore the career path for Product Manager

Sales Analyst

Sales Analysts use data to identify sales opportunities and improve sales performance. This course provides a solid foundation for a career as a Sales Analyst by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform sales analysis, and create visualizations that communicate insights effectively.

See salaries and explore the career path for Sales Analyst

Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful for Software Engineers who want to learn how to use Google BigQuery to store, analyze, and visualize large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform data analysis, and create visualizations.

See salaries and explore the career path for Software Engineer

Systems Analyst

Systems Analysts design, develop, and maintain computer systems. This course may be useful for Systems Analysts who want to learn how to use Google BigQuery to store, analyze, and visualize large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform data analysis, and create visualizations.

See salaries and explore the career path for Systems Analyst

Web Developer

Web Developers design, develop, and maintain websites. This course may be useful for Web Developers who want to learn how to use Google BigQuery to store, analyze, and visualize large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform data analysis, and create visualizations.

See salaries and explore the career path for Web Developer

Data Warehouse Architect

Data Warehouse Architects design and maintain data warehouses. This course provides a solid foundation for a career as a Data Warehouse Architect by teaching you how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to create and manage BigQuery tables, write SQL queries to extract data, and design and implement data warehouse architectures.

See salaries and explore the career path for Data Warehouse Architect

Database Administrator

Database Administrators manage and maintain databases. This course may be useful for Database Administrators who want to learn how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to create and manage BigQuery tables, write SQL queries to extract data, and perform database administration tasks.

See salaries and explore the career path for Database Administrator

Statistician

Statisticians collect, analyze, and interpret data. This course may be useful for Statisticians who want to learn how to use Google BigQuery, a powerful tool for storing, analyzing, and visualizing large datasets. You will learn how to write SQL queries to extract data from BigQuery, perform statistical analysis, and create visualizations.

See salaries and explore the career path for Statistician