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Creating A Dataset

Kirsten Gokay, Meeta Dash, Alyssa Simpson-Rochwerger, Andrea Butkovic, and Kiran Vajapey

Build a custom data annotation job to create novel datasets.

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What's inside

Syllabus

Learn how data can affect the performance of a machine learning model and see how to create your own labeled dataset using Appen's annotation platform.

Given a dataset and business goal, design your own data labeling job using Appen’s platform.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Examines industry-standard techniques for data annotation and labeling

Emphasizes real-life scenarios by utilizing Appen's platform for data labeling

Provides hands-on experience in designing and implementing data labeling jobs

Led by industry experts with extensive experience in data annotation

This course may require access to a computer with specific software

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Activities

Coming soon We're preparing activities for Creating A Dataset. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Creating A Dataset will develop knowledge and skills that may be useful to these careers:

Data Annotation Specialist

Data Annotation Specialists prepare data for machine learning models. They label data so that models can learn to recognize patterns. This course may be helpful for Data Annotation Specialists by teaching them how to create a custom data annotation job. This can help them to improve the quality of the data that they label.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. They use data to train models that can make predictions or perform other tasks. This course may be helpful for Machine Learning Engineers by teaching them how to create a custom data annotation job to create novel datasets. This can help them to build better models with more accurate predictions.

See salaries and explore the career path for Machine Learning Engineer

Data Architect

Data Architects design and build data systems. They work with data engineers and data scientists to ensure that data is available and accessible. This course may be helpful for Data Architects by teaching them how to create a custom data annotation job to create novel datasets. This can help them to build better data systems that meet the needs of the business.

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Data Scientist

Data Scientists use data to solve business problems. They collect, clean, and analyze data to build models that can make predictions or perform other tasks. This course may be helpful for Data Scientists by teaching them how to create a custom data annotation job to create novel datasets. This can help them to build better models with more accurate predictions.

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Data Engineer

Data Engineers build and maintain data pipelines. They ensure that data is collected, cleaned, and stored in a way that makes it accessible to data analysts and data scientists. This course may be helpful for Data Engineers by teaching them how to create a custom data annotation job to create novel datasets. This can help them to build better data pipelines that improve the quality of the data that is available for analysis.

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AI Engineer

AI Engineers design, develop, and maintain artificial intelligence systems. They use data to train models that can make predictions or perform other tasks. This course may be helpful for AI Engineers by teaching them how to create a custom data annotation job to create novel datasets. This can help them to build better models with more accurate predictions.

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Data Management Analyst

Data Management Analysts manage data for organizations. They ensure that data is accurate, consistent, and accessible. This course may be helpful for Data Management Analysts by teaching them how to create a custom data annotation job to create novel datasets. This can help them to improve the quality of the data that they manage.

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Risk Analyst

Risk Analysts identify and assess risks to organizations. They develop and implement plans to mitigate risks. This course may be helpful for Risk Analysts by teaching them how to create a custom data annotation job to create novel datasets. This can help them to better identify and assess risks to organizations.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They use data to build models that can make predictions or perform other tasks. This course may be helpful for Software Engineers by teaching them how to create a custom data annotation job to create novel datasets. This can help them to build better software applications with more accurate predictions.

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Database Administrator

Database Administrators manage and maintain databases. They ensure that data is stored securely and efficiently. This course may be helpful for Database Administrators by teaching them how to create a custom data annotation job to create novel datasets. This can help them to better manage and maintain databases.

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Business Analyst

Business Analysts use data to improve business processes. They collect, clean, and analyze data to identify trends and make recommendations. This course may be helpful for Business Analysts by teaching them how to create a custom data annotation job to create novel datasets. This can help them to better analyze data and extract valuable insights.

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Data Analyst

Data Analysts get insights from data to improve company strategy and decision making. Data Analysts collect, clean, and analyze data to build data models. This course may be helpful for Data Analysts by teaching them how to build a custom data annotation job to create novel datasets. This can help them to better analyze data and extract valuable insights.

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IT Auditor

IT Auditors evaluate the security of computer systems and networks. They identify vulnerabilities and make recommendations to improve security. This course may be helpful for IT Auditors by teaching them how to create a custom data annotation job to create novel datasets. This can help them to better evaluate the security of computer systems and networks.

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Information Security Analyst

Information Security Analysts protect data from unauthorized access, use, disclosure, disruption, modification, or destruction. This course may be helpful for Information Security Analysts by teaching them how to create a custom data annotation job to create novel datasets. This can help them to better protect data from unauthorized access and use.

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Product Manager

Product Managers manage the development of products. They work with engineers, designers, and marketers to bring products to market. This course may be helpful for Product Managers by teaching them how to create a custom data annotation job to create novel datasets. This can help them to better understand the needs of their customers and develop better products.

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Reading list

We've selected ten 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 Creating A Dataset.

Mastering Machine Learning Algorithms