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via Udemy |
Go to Course: https://www.udemy.com/course/google-bigquery-ml-machine-learning-in-sql-without-python/
Certainly! Here's an engaging and comprehensive review and recommendation for the Coursera course on Machine Learning using SQL in Google BigQuery: --- **Course Review and Recommendation: Machine Learning with SQL in Google BigQuery** If you're interested in harnessing the power of machine learning directly within your SQL workflows, this Coursera course is an exceptional choice. Designed for both beginners and intermediate users, it bridges the gap between traditional SQL querying and advanced predictive modeling in an accessible and practical manner. **What You Will Learn:** This course focuses on building, understanding, and deploying machine learning models using simple SQL queries within Google BigQuery, making sophisticated analytics more approachable for data professionals who are comfortable with SQL. You'll learn how to prepare data, interpret model outcomes, and generate accurate predictions using just a single `SELECT` statement. The hands-on approach, centered around a real-world dataset of car sales in the USA, keeps the learning process engaging and directly applicable. **Course Structure:** The content is thoughtfully divided into 7 comprehensive sections plus a bonus, starting from the basics and gradually advancing to more complex techniques. Initially, you'll set up your working environment, followed by brief theoretical lessons that lay the groundwork. The core of the course is focused on creating your first models, then improving their performance through various hacks and optimization tricks—an essential part heavily emphasized throughout. **Practical Focus and End Project:** A standout feature is the emphasis on real-world application. Students are guided step-by-step on creating their own end project aimed at predicting used car prices. There are practical exercises and homework assignments after each lesson to reinforce your learning, all of which contribute to your final project. This project-based approach ensures that you not only learn theory but also gain hands-on experience, building a portfolio piece that demonstrates your skills. **Additional Resources:** The course provides valuable supporting materials, including a Google glossary ebook that covers essential machine learning definitions—perfect for building foundational knowledge. Cheat sheets summarize key topics for quick reference, and the included SQL resources allow you to practice and manipulate code easily, encouraging active learning. **Pros:** - Focuses on practical, real-world applications - Hands-on projects to solidify learning - Resources for quick reference and self-study - Flexible environment using the free BigQuery platform - Emphasis on model improvement and optimization techniques **Cons:** - Requires some familiarity with SQL and BigQuery basics - Less emphasis on mathematical theory, focusing more on implementation **Final Verdict:** This course is highly recommended for data analysts, SQL developers, and business intelligence professionals who want to incorporate machine learning into their existing workflows without learning complex programming languages. The practical, project-oriented approach ensures that learners will walk away with actionable skills and a portfolio project. Whether you're looking to enhance your analytical toolkit or explore machine learning from a data-first perspective, this course offers a clear, effective pathway to achieving those goals. **Rating:** ★★★★★ (5/5) --- Embark on your machine learning journey with SQL and Google BigQuery today—it's an investment in skills that will make your data projects more insightful and impactful!
The goal of this course is to learn how to create and use Machine Learning models right from the level of SQL query in Google BigQuery interface. You will also learn how to prepare data, how to interpret model results and how to make nice predictions using just one SELECT statement. You will work on a real data set - car sale offers in the USA, and the goal will be to predict the price of a car.The course consists of 7 sections and one bonus section. At the very beginning we will create an environment to work in. Next it would be good to see a little theory. Then we will straight jump into the first model creation. In further lessons we will try to improve our model performance by some hacks and tricks. This is essential for the course and we put the biggest pressure on that part. In the meantime you will get all needed resources and you will be able to practice all steps by yourself on your own free BigQuery account.In this course you will be working on your own end project. During the course, we will guide you on how to make every step of your own end project. After each practical lesson, you will have a homework assignment that will contribute to your big project. The project's goal is to predict used car prices. Additionally, to motivate you to work and check if you have done your homework correctly, you will get a question in the quiz. By carrying out practical tasks, you will easily find answers.We've added a few lesson resources. Google glossary ebook that explains all basic definitions of a wide spectrum of Machine Learning. Please read them to systematize your knowledge. Other resources are cheat sheets which present a summary for each topic. It's a really nice source of condensed knowledge. Please use them to quickly look if you forgot some stuff. For practice lessons we add our SQL in resources. You can easily copy-paste and manipulate the code by yourself.Let's get started with our journey of Machine Learning in SQL!