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Predict Taxi Fare with a BigQuery ML Forecasting Model
Google Cloud Training
Google Cloud Training
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/xjl3f1/predict
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
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
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Predict Taxi Fare with a BigQuery ML Forecasting Model.
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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
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.
Machine Learning Engineer
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.
Business Analyst
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.
Statistician
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.
Data Architect
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.
Software Engineer
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.
Data Analyst
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.
Database Administrator
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.
Information Security Analyst
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.
Financial 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.
Data Engineer
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.
Quantitative Analyst
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.
Actuary
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.
Cloud Engineer
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.
Systems 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.
For more career information including salaries, visit:
OpenCourser.com/course/xjl3f1/predict
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.
A classic reference on time series analysis and forecasting, providing a strong theoretical foundation.
A guide to using SQL for data science tasks, including data cleaning, transformation, and analysis.
An introductory guide to machine learning, suitable for those with little to no prior knowledge.
Save
A non-technical guide to data science for business leaders, providing an understanding of its concepts and applications.
Provides a practical introduction to data science for business professionals. It covers a wide range of topics, including data analysis, machine learning, and data visualization.
Save
Provides a comprehensive overview of data mining with R. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
Save
Provides a comprehensive overview of deep learning. It covers a wide range of topics, including neural networks, convolutional neural networks, and recurrent neural networks.
Provides a gentle introduction to data science. It covers a wide range of topics, including data analysis, machine learning, and data visualization.
Provides a practical introduction to machine learning with Python. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning.
Provides a comprehensive overview of machine learning with R. It covers a wide range of topics, including data preprocessing, feature engineering, and model evaluation.
Provides a practical introduction to machine learning. It covers a wide range of topics, including supervised learning, unsupervised learning, and reinforcement learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xjl3f1/predict
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
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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