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Data Science 

Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization's data.

 

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Connect the dots. Uncover patterns. Draw insights.

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Discover the PeopleCert Data Science Certification Suite, designed and reviewed by industry experts across the globe to provide you with the skills and knowledge you need to understand and apply data science concepts, terms, and tools in real business cases.

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What is Data Science?

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Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It applies actionable insights from data across a broad range of application domains. Data scientists combine a wide range of skills to analyse data collected from various sources, like the web, smartphones, customers, sensors, etc. They can then review the results to uncover patterns and enable business leaders and organisations to draw informed insights.

Why choose PeopleCert Data Science?

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Take the next step to realise your career goals with PeopleCert Data Science Certifications. Prove your knowledge, understanding and proficiency with Data Science and Big Data concepts and terms, and learn how to draw out any potential data sources that you can use to solve real business problems within your organisation. 
Key benefits of holding a PeopleCert Data Science Certificate 

  • Learn the basics of Data Science

  • Understand key concepts of Programming (with R/Python), Data Management and Business Intelligence

  • Become competent in Probability & Statistics, Machine Learning and Artificial Intelligence (AI)

  • Learn key concepts of Visualisation and Advanced Statistical topics

Peoplecert Data Science available courses: 

For General inquiries, please contact info@megasoft.com.eg

 

For Training inquires, please contact training@megasoft.com.eg

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