Data Science at SEGA from Pluralsight

Big Data LDN 2019 | Data Science at SEGA | Stanley Wang

SEGA is one of the leading interactive entertainment companies in the world. Their studios include Sports Interactive, Amplitude, The Creative Assembly, HardLight, and Relic Entertainment. SEGA Europe is responsible for games such as Football Manager and the Total War series. This talk will cover how data science techniques are introduced to the business and their studios, and outline some of their potential applications for a video game publisher. Stanley Wang will share experiences of transitioning from a university graduate to the first data scientist hired at SEGA Europe as well as the challenges of building a foundation for a data driven approach for all areas of the business. Examples of current ongoing projects are provided throughout the talk to help better understand in-game player behavior, consumer habits, and purchase patterns, all in order to improve the overall player experience.

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Explores real world use cases in data science within the video game industry

Introduces the potential applications of data science for a video game publisher

Instructs on transitioning from a university graduate to the first data scientist hired at SEGA Europe

Outlines some of the challenges of building a foundation for a data driven approach

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Learners who complete Data Science at SEGA will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are professionals who use their talents in statistics, analytics, machine learning, and data modeling to help businesses make informed decisions. One of the main areas of focus for data scientists in the video game industry is understanding player behavior. With a deep understanding of key performance indicators, a Data Scientist is able to better understand how players interact with a game. This ultimately leads to an improved experience for players. This course on Data Science at SEGA is a great introduction to the role of Data Scientists in the video game industry. It provides real-world examples of how data science is used to address challenges in the video game industry. Anyone wishing to work as a Data Scientist in the video game industry will benefit from this course.

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Data Analyst

Data Analysts provide key insights to a company based on the data that is available. They analyze data trends, patterns, and metrics to create meaningful reports that can inform business decisions. Data Analysts in the video game industry work closely with Data Scientists and other professionals to understand player behavior and trends. They use analytical techniques to help improve the overall player experience. The course on Data Science at SEGA provides Data Analysts with a well-rounded understanding of how data science is applied in the video game industry. It provides real-world examples of how data science is used to address challenges in the video game industry.

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Game Designer

Game Designers are the creative force behind video games. They are responsible for designing the gameplay, storyline, and characters. Game Designers in the video game industry use data science to gain a deeper understanding of player behavior. This allows them to create games that are more engaging and enjoyable. The course on Data Science at SEGA provides Game Designers with a solid foundation in data science principles and techniques. It helps them to understand how to use data to make informed decisions about game design.

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Product Manager

Product Managers are responsible for the planning, development, and marketing of a product. They work closely with engineers, designers, and marketers to ensure that the product meets the needs of the customer. Product Managers in the video game industry use data science to understand player behavior and trends. This allows them to make informed decisions about product features, pricing, and marketing campaigns. The course on Data Science at SEGA provides Product Managers with a deep understanding of data science principles and techniques. It helps them to understand how to use data to make informed decisions about product development.

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Marketing Manager

Marketing Managers are responsible for developing and executing marketing campaigns for a product or service. They work closely with product managers and sales teams to ensure that the marketing campaign is aligned with the business goals. Marketing Managers in the video game industry use data science to understand player behavior and trends. This allows them to create marketing campaigns that are more effective and targeted. The course on Data Science at SEGA provides Marketing Managers with a solid foundation in data science principles and techniques. It helps them to understand how to use data to make informed decisions about marketing campaigns.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of the customer. Software Engineers in the video game industry use data science to improve the performance and stability of games. They also use data science to develop new features and content for games. The course on Data Science at SEGA helps Software Engineers to understand how to use data science techniques to improve the quality of their software.

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Game Programmer

Game Programmers are responsible for writing the code that makes a game work. They work with a variety of programming languages and technologies to create games that are fun and engaging. Game Programmers in the video game industry use data science to improve the performance and stability of games. They also use data science to develop new features and content for games. The course on Data Science at SEGA helps Game Programmers to understand how to use data science techniques to improve the quality of their games.

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Quality Assurance Tester

Quality Assurance Testers are responsible for testing software to ensure that it meets the requirements of the customer. They work with a variety of software testing tools and techniques to find and fix bugs. Quality Assurance Testers in the video game industry use data science to analyze test results and identify areas for improvement. They also use data science to develop new testing methods and techniques. The course on Data Science at SEGA helps Quality Assurance Testers to understand how to use data science techniques to improve the quality of their testing.

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Data Engineer

Data Engineers are responsible for building and maintaining the infrastructure that supports data science. They work with a variety of data technologies and tools to ensure that data is available and accessible to data scientists and other users. Data Engineers in the video game industry use data science to design and implement data pipelines. They also use data science to develop new data storage and processing techniques. The course on Data Science at SEGA helps Data Engineers to understand how to use data science techniques to improve the quality of their data infrastructure.

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Business Analyst

Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. They work with a variety of stakeholders to gather requirements and analyze data. Business Analysts in the video game industry use data science to understand the business goals of the company. They also use data science to develop new business strategies and initiatives. The course on Data Science at SEGA helps Business Analysts to understand how to use data science techniques to improve the quality of their business analysis.

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Statistician

Statisticians collect, analyze, and interpret data. They work with a variety of statistical methods and techniques to draw conclusions from data. Statisticians in the video game industry use data science to analyze player behavior and trends. They also use data science to develop new statistical models and techniques. The course on Data Science at SEGA helps Statisticians to understand how to use data science techniques to improve the quality of their statistical analysis.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models. They work with a variety of machine learning algorithms and techniques to develop models that can learn from data and make predictions. Machine Learning Engineers in the video game industry use data science to develop new machine learning models for games. They also use data science to improve the performance and accuracy of existing machine learning models. The course on Data Science at SEGA helps Machine Learning Engineers to understand how to use data science techniques to improve the quality of their machine learning models.

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Data Architect

Data Architects design and implement the architecture for data systems. They work with a variety of data technologies and tools to ensure that data systems are scalable, reliable, and secure. Data Architects in the video game industry use data science to design and implement data systems for games. They also use data science to develop new data storage and processing techniques. The course on Data Science at SEGA helps Data Architects to understand how to use data science techniques to improve the quality of their data systems.

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Software Developer

Software Developers design, develop, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of the customer. Software Developers in the video game industry use data science to improve the performance and stability of games. They also use data science to develop new features and content for games. The course on Data Science at SEGA helps Software Developers to understand how to use data science techniques to improve the quality of their software.

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