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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

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Creating A Dataset with these activities:

Organize and review course-related materials

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Enhance your learning experience by organizing and reviewing course materials proactively.

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Gather and organize lecture notes, assignments, and other course materials.
Review the materials regularly to reinforce your understanding of the concepts.
Identify areas where you need additional clarification or support.

Review foundational concepts in data analysis

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Strengthen your foundation in data analysis to support your learning in data annotation.

Browse courses on Data Analysis

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Review key concepts in statistics and data analysis.
Refresh your knowledge of common data analysis techniques.
Complete practice problems or exercises to test your understanding.

Participate in a peer-mentoring program

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Engage with peers to enhance your understanding of data annotation concepts and techniques through mentoring and support.

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Find a peer who is more experienced in data annotation.
Set up regular meetings or communication channels.
Share knowledge, ask questions, and provide feedback to each other.
Collaborate on practice data annotation tasks.

One other activity

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Complete annotated data labeling tasks on Appen's platform

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Reinforce your understanding of the data annotation job design process by completing practice tasks using Appen's annotation platform.

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Create your Appen account and set it up.
Familiarize yourself with the Appen interface and its tools.
Review the annotation guidelines provided for the data labeling job.
Start annotating data on the platform.

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.

See salaries and explore the career path for Data Annotation Specialist

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for AI Engineer

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.

See salaries and explore the career path for Data Management Analyst

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.

See salaries and explore the career path for Risk Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for IT Auditor

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.

See salaries and explore the career path for Information Security Analyst

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.

See salaries and explore the career path for Product Manager

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

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A comprehensive introduction to machine learning for data scientists, covering a wide range of topics from data preparation to model deployment. It provides a solid foundation for those looking to start applying machine learning in their work.

Creating A Dataset

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What's inside

Syllabus

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Activities

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Reading list

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