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Predict Taxi Fare with a BigQuery ML Forecasting Model

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create an ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.

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What's inside

Syllabus

Predict Taxi Fare with a BigQuery ML Forecasting Model

In this lab you will explore millions of New York City yellow taxi cab trips available in a BigQuery Public Dataset, create a ML model inside of BigQuery to predict the fare, and evaluate the performance of your model to make predictions.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides exposure to industry-standard forecasting methods and tools used by data scientists and engineers globally

Highly accessible offering from Google Cloud Training, known for world-renowned courses and programs in data science and machine learning

Suitable for learners with prior experience in data science, machine learning, or related disciplines

Involves hands-on practice, offering learners a practical understanding of ML model development and evaluation in BigQuery

Requires prior knowledge of BigQuery, SQL, and Python, which may not be suitable for complete beginners in data science

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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 Predict Taxi Fare with a BigQuery ML Forecasting Model with these activities:

Review and organize course materials

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Organize and review course materials to improve retention and access to key concepts.

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Gather all course materials (notes, assignments, quizzes)
Organize the materials into a logical structure
Review the materials regularly

Explore additional BigQuery ML tutorials

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Follow online tutorials to expand knowledge of BigQuery ML capabilities and best practices.

Browse courses on Machine Learning

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Identify relevant tutorials
Follow the tutorials and complete the exercises
Apply the techniques learned to your own projects

Form a study group for deeper understanding

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Engage in peer discussions and collaborative problem-solving to enhance understanding of course concepts.

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Find a few classmates to form a study group
Meet regularly to discuss course materials
Work together to solve problems and clarify concepts

Four other activities

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Practice ML modeling with BigQuery

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Practice building and evaluating ML models using BigQuery ML to solidify understanding of the concepts covered in the course.

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Load a dataset into BigQuery
Create a BigQuery ML model
Evaluate the performance of the model
Improve the model by tuning hyperparameters
Deploy the model for predictions

Compile a collection of useful BigQuery ML resources

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Gather and organize resources related to BigQuery ML to serve as a valuable reference for future use.

Browse courses on BigQuery ML

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Identify and gather relevant resources (e.g., documentation, blog posts, videos)
Organize the resources into a structured format (e.g., cheat sheet, annotated bibliography)
Share the compilation with others

Develop a presentation on ML forecasting models

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Create a presentation to demonstrate understanding of ML forecasting models, their applications, and their limitations.

Browse courses on Machine Learning

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Research different types of ML forecasting models
Choose a specific model and explain its strengths and weaknesses
Gather data and train the model
Evaluate the performance of the model
Prepare and deliver the presentation

Identify a mentor in the field of ML

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Seek guidance and support from an experienced ML professional to gain insights and enhance career prospects.

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Attend industry events and meetups to network
Reach out to potential mentors via LinkedIn or email
Build a relationship with your mentor

Career center

Learners who complete Predict Taxi Fare with a BigQuery ML Forecasting Model will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist uses scientific methods to extract knowledge and insights from data. They use their skills to develop and implement predictive models that can help businesses make better decisions. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of data science.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models. They use their skills to create models that can learn from data and make predictions. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of machine learning engineering.

See salaries and explore the career path for Machine Learning Engineer

Business Analyst

A Business Analyst uses data to help businesses make better decisions. They use their skills to identify problems and develop solutions that can help businesses improve their performance. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of business analysis.

See salaries and explore the career path for Business Analyst

Statistician

A Statistician uses data to make informed decisions. They use their skills to design and conduct studies, analyze data, and draw conclusions. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of statistics.

See salaries and explore the career path for Statistician

Data Architect

A Data Architect designs and manages data systems. They use their skills to ensure that data is organized and accessible to those who need it. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of data architecture.

See salaries and explore the career path for Data Architect

Software Engineer

A Software Engineer designs, develops, and maintains software applications. They use their skills to create software that meets the needs of users. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of software engineering.

See salaries and explore the career path for Software Engineer

Data Analyst

A Data Analyst collects, interprets, and transforms data into meaningful insights. They use their skills to make data-driven recommendations for businesses. This course can help develop the data analysis skills needed for this role. It teaches users how to access, explore, and analyze data to extract and generate actionable insights. This course would be particularly helpful for those interested in entering the field of data analytics.

See salaries and explore the career path for Data Analyst

Database Administrator

A Database Administrator manages and maintains databases. They use their skills to ensure that data is stored and retrieved efficiently. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of database administration.

See salaries and explore the career path for Database Administrator

Information Security Analyst

An Information Security Analyst protects computer systems and networks from unauthorized access. They use their skills to identify and mitigate security risks. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of information security.

See salaries and explore the career path for Information Security Analyst

Financial Analyst

A Financial Analyst uses financial data to make recommendations about investments. They use their skills to develop models that can help investors make better decisions. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of financial analysis.

See salaries and explore the career path for Financial Analyst

Data Engineer

A Data Engineer designs, builds, and maintains data systems. They use their skills to ensure that data is available and accessible to those who need it. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of data engineering.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data. They use their skills to develop models that can help investors make better decisions. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of quantitative finance.

See salaries and explore the career path for Quantitative Analyst

Actuary

An Actuary uses mathematical and statistical techniques to assess and manage risk. They use their skills to develop models that can help businesses make better decisions about risk. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of actuarial science.

See salaries and explore the career path for Actuary

Cloud Engineer

A Cloud Engineer designs and manages cloud computing systems. They use their skills to ensure that cloud-based applications and services are available and scalable. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of cloud engineering.

See salaries and explore the career path for Cloud Engineer

Systems Engineer

A Systems Engineer designs and manages complex systems. They use their skills to ensure that systems are reliable and efficient. This course can help build a foundation for this role. It teaches users how to use machine learning algorithms to make predictions. This course would be particularly useful for those interested in entering the field of systems engineering.

See salaries and explore the career path for Systems Engineer

Reading list

We've selected 11 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 Predict Taxi Fare with a BigQuery ML Forecasting Model.

Que's Official Internet Yellow Pages, 2005 Edition

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A classic reference on time series analysis and forecasting, providing a strong theoretical foundation.

Predict Taxi Fare with a BigQuery ML Forecasting Model

What's inside

Syllabus

Good to know

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Activities

Career center

Reading list

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