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Building Demand Forecasting with BigQuery ML

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

In this lab you will build a time series model to forcast demand of multiple products using BigQuery ML. This lab is based on a blog post and featured in an episode of Cloud OnAir.

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What's inside

Syllabus

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Develops demand forecasting skills using BigQuery ML, which is standard in industry

Taught by Google Cloud Training, who are recognized for their work in cloud computing

Covers a practical use for BigQuery ML, which is highly relevant to business and data analysis

Hands-on labs provide an interactive learning experience

Part of Google Cloud Training's offerings, which have a strong reputation in the industry

May require additional knowledge of BigQuery and machine learning concepts before taking

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Reviews summary

Practical demand forecasting with bigquery ml

According to learners, this course offers a highly practical and hands-on experience in building demand forecasting models using BigQuery ML. Students appreciate the clear, step-by-step guidance provided in the self-paced lab environment, making it a useful resource for those looking to apply machine learning to real-world business challenges within Google Cloud. The course focuses specifically on time series modeling for multiple products, providing a solid foundation for data professionals aiming to implement advanced analytics. While its focused scope is a strength for practical application, it implies some assumed prior knowledge in SQL or data science concepts.

Best for those with foundational SQL and data science understanding.

"I think some prior familiarity with SQL and basic data concepts would be beneficial to keep pace."

"While comprehensive, this lab assumes you have a foundational understanding of Google Cloud environments."

"This course is highly focused; it's not an introduction to machine learning but rather an application."

A concise lab, not a comprehensive course on ML theory.

"This is truly a lab; it guides you through steps to build a model rather than deep theoretical explanations."

"I found it excellent for a quick practical demonstration, but it's not meant to be a full ML course."

"It's great for getting hands-on with a specific use case, but I needed external resources for broader context."

Leverages BigQuery ML for efficient model building.

"Using BigQuery ML made the process of building a forecasting model much more streamlined than I expected."

"I appreciated the deep dive into BigQuery ML's capabilities for time series analysis."

"The integration with Google Cloud was seamless, making it easy to focus on the ML aspect."

Focuses on building real-world demand forecasting models.

"I found the lab incredibly practical, teaching me how to apply BigQuery ML to a real business problem like demand forecasting."

"The hands-on nature of the lab was excellent; I learned by doing directly in the Google Cloud console."

"This course is ideal for anyone looking to quickly implement time series forecasting with a powerful tool."

Troubleshooting may require self-reliance without direct instructor support.

"I wish there was more explicit guidance for common errors one might encounter during the lab steps."

"As a self-paced lab, getting stuck on a technical issue meant relying on documentation or external forums."

"While the lab steps are clear, a bit more conceptual context or troubleshooting tips would enhance the experience."

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 Building Demand Forecasting with BigQuery ML with these activities:

Find a Mentor in Time Series Forecasting

Show steps

Finding a mentor in time series forecasting will allow you to connect with an experienced professional who can provide guidance and support.

Browse courses on Time Series Forecasting

Show steps

Search for a time series forecasting mentor in your network.
Reach out to the mentor and ask for their guidance.
Meet with the mentor regularly to discuss your progress and get feedback.

Compile a Resource List for Time Series Forecasting

Show steps

By compiling a resource list for time series forecasting, you will create a valuable reference tool that you can use throughout the course and beyond.

Browse courses on Time Series Forecasting

Show steps

Search for online resources on time series forecasting.
Create a list of the most relevant and useful resources.
Organize the resources into categories or topics.

Review Fundamentals of Time Series Forecasting

Show steps

By reviewing the fundamentals of time series forecasting, you will be able to build a stronger foundation for the course material.

Browse courses on Time Series Forecasting

Show steps

Read an introductory article or tutorial on time series forecasting.
Review your notes or study materials from a previous course on time series forecasting.
Complete a few practice problems on time series forecasting.

Five other activities

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Show all eight activities

Attend a Time Series Forecasting Workshop

Show steps

Attending a time series forecasting workshop will allow you to learn from experts in the field and gain hands-on experience with time series forecasting tools.

Browse courses on Time Series Forecasting

Show steps

Search for a time series forecasting workshop in your area.
Register for the workshop.
Attend the workshop and participate in the activities.

Practice Building Time Series Models

Show steps

Practicing building time series models will help you develop the skills necessary to complete the course projects.

Browse courses on Time Series Modeling

Show steps

Find a dataset that contains time series data.
Use BigQuery ML to build a time series model for the dataset.
Evaluate the performance of the model.

Participate in a Time Series Forecasting Study Group

Show steps

Participating in a time series forecasting study group will allow you to connect with other students and discuss the course material in a collaborative environment.

Browse courses on Time Series Forecasting

Show steps

Find a time series forecasting study group to join.
Attend the study group meetings and participate in the discussions.
Help other students with the course material.

Mentor a Peer Student

Show steps

Mentoring a peer student will help you reinforce your understanding of the course material and develop your communication skills.

Browse courses on Time Series Forecasting

Show steps

Find a peer student who is struggling with the course material.
Offer to help the student by answering their questions and providing guidance.
Meet with the student regularly to provide support and encouragement.

Build a Time Series Model for a Real-World Problem

Show steps

Building a time series model for a real-world problem will allow you to apply the skills you learn in the course to a practical scenario.

Browse courses on Time Series Forecasting

Show steps

Identify a real-world problem that can be solved using time series forecasting.
Collect data for the problem.
Build a time series model for the data.
Evaluate the performance of the model.
Deploy the model to production.

Career center

Learners who complete Building Demand Forecasting with BigQuery ML will develop knowledge and skills that may be useful to these careers:

Marketing Analyst

Marketing Analysts use data to analyze marketing campaigns and make recommendations about marketing strategies. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to analyze data and identify trends that can help businesses make better decisions about their marketing campaigns.

See salaries and explore the career path for Marketing Analyst

Data Scientist

Data Scientists use data to build machine learning models that can predict future outcomes. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses predict future demand for products or services.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and maintain machine learning models. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build and deploy models that can help businesses predict future demand for products or services.

See salaries and explore the career path for Machine Learning Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses predict future demand for products or services.

See salaries and explore the career path for Quantitative Analyst

Statistician

Statisticians collect, analyze, and interpret data to help businesses make informed decisions. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to analyze data and identify trends that can help businesses predict future demand for products or services.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts use data to help businesses identify opportunities and solve problems. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to analyze data and identify trends that can help businesses make better decisions.

See salaries and explore the career path for Business Analyst

Econometrician

Econometricians use statistical methods to analyze economic data. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses understand economic trends and make better decisions about their operations.

See salaries and explore the career path for Econometrician

Data Analyst

A Data Analyst gathers, cleans, and interprets data to help businesses make informed decisions. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to analyze data and identify trends that can help businesses predict future demand for products or services.

See salaries and explore the career path for Data Analyst

Market Research Analyst

Market Research Analysts study market trends to help businesses understand their customers and make informed decisions. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to analyze data and identify trends that can help businesses make better decisions about their products or services.

See salaries and explore the career path for Market Research Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve business problems. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses make better decisions about their operations.

See salaries and explore the career path for Operations Research Analyst

Sales Forecasting Manager

Sales Forecasting Managers are responsible for predicting future sales. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses predict future sales and make better decisions about their sales strategies.

See salaries and explore the career path for Sales Forecasting Manager

Supply Chain Manager

Supply Chain Managers are responsible for managing the flow of goods and services from suppliers to customers. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses predict future demand and make better decisions about their supply chains.

See salaries and explore the career path for Supply Chain Manager

Demand Planner

Demand Planners are responsible for forecasting demand for products or services. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to build models that can help businesses predict future demand and make better decisions about their production and inventory levels.

See salaries and explore the career path for Demand Planner

Financial Analyst

Financial Analysts use data to make recommendations about investments and financial decisions. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to analyze data and identify trends that can help businesses make better financial decisions.

See salaries and explore the career path for Financial Analyst

Product Manager

Product Managers are responsible for developing and managing products. By learning to build demand forecasting models with BigQuery ML in this course, you can develop the skills necessary to understand customer需求s and make better decisions about product development.

See salaries and explore the career path for Product Manager

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Building Demand Forecasting with BigQuery ML.