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Vertex AI Tabular Data

Qwik Start

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to build a binary classification model from tabular data using Vertex AI.

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What's inside

Syllabus

Vertex AI Tabular Data: Qwik Start

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches practical skills through a hands-on lab environment

Builds a foundation in machine learning through a practical use case

Designed for beginners with no prior knowledge of machine learning

Taught by experienced Google Cloud instructors

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Activities

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Career center

Learners who complete Vertex AI Tabular Data: Qwik Start will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models. This course may help build a foundation for this role by providing an introduction to machine learning concepts and algorithms. The course will also help you develop skills in data preparation, model training, and model evaluation, which are essential for success in machine learning engineering.

See salaries and explore the career path for Machine Learning Engineer

Statistician

Statisticians use data to collect, analyze, and interpret data. This course may be useful for aspiring Statisticians by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in statistics.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make better decisions. This course may help build a foundation for this role by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in data analysis.

See salaries and explore the career path for Data Analyst

Research Analyst

Research Analysts conduct research and analyze data to provide insights to businesses and organizations. This course may be useful for aspiring Research Analysts by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in research analysis.

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Business Analyst

Business Analysts use data to help businesses understand their customers and make better decisions. This course may be useful for aspiring Business Analysts by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in business analysis.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use data to solve complex problems and improve business operations. This course may be useful for aspiring Operations Research Analysts by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in operations research.

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Actuary

Actuaries use data to assess risk and uncertainty. This course may be useful for aspiring Actuaries by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in actuarial science.

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Data Scientist

Data Scientists use data to solve business problems and make predictions. This course may be useful for aspiring Data Scientists by providing an introduction to the fundamentals of data science, including data analysis, machine learning, and statistical modeling. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in data science.

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Financial Analyst

Financial Analysts use data to analyze financial performance and make investment recommendations. This course may be useful for aspiring Financial Analysts by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in financial analysis.

See salaries and explore the career path for Financial Analyst

Marketing Analyst

Marketing Analysts use data to understand customer behavior and develop marketing campaigns. This course may be useful for aspiring Marketing Analysts by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in marketing analysis.

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Consultant

Consultants use data to help businesses solve problems and make better decisions. This course may be useful for aspiring Consultants by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in consulting.

See salaries and explore the career path for Consultant

Data Engineer

Data Engineers build and maintain data pipelines and infrastructure. This course may be useful for aspiring Data Engineers by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in data engineering.

See salaries and explore the career path for Data Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. This course may be useful for aspiring Quantitative Analysts by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which are essential for success in quantitative analysis.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course may be useful for aspiring Software Engineers by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which can be helpful for building data-driven applications.

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Product Manager

Product Managers are responsible for the development and launch of new products. This course may be useful for aspiring Product Managers by providing an introduction to data analysis and machine learning techniques. The course will also help you develop skills in data cleaning, feature engineering, and model evaluation, which can be helpful for understanding customer needs and making better product decisions.

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Reading list

We've selected 12 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 Vertex AI Tabular Data: Qwik Start.

Hands-On Machine Learning with Scikit-Learn, Keras,...