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Coursera – Mathematical Foundations for Data Science and Analytics Specialization 2025-8

Updated August 10, 2026 1.7 GB
Coursera – Mathematical Foundations for Data Science and Analytics Specialization 2025-8

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Description

Google Cybersecurity Professional Certificate is a set of comprehensive training and complete cyber security published by Corsa Online University. This joint educational collection is produced by the developers of Google and the Coursera training team and is one of the most up-to-date and best educational collections in the field of web security and cyber security. The collection of Coursera educational collections To start this training course, there is no need for a degree or prerequisite knowledge of other skills and you can study this collection at any level. By studying carefully and step by step the contents of this training course, you can enter the market within 6 months or less and find a job for yourself in one of the big IT and technology companies. This is a comprehensive set of educational projects and it is completely defined by 8 educational courses.

In the field of cyber security, there are various sub-branches, the most important of which are cyber security analyst and security operator. With the expansion of the Internet space and the access of different people to cyber attacks, there is more, and in this regard, different companies and organizations must take measures to protect their data and users against cyber attacks. The cyber security department in every organization is obliged to protect the data and take care of the access to the reception and most importantly the integrity and confidentiality of the data. There are methods in the world of cyber security that protect data from unauthorized access by hackers. The topics presented in this educational series are compatible with all CompTIA Security+ exam topics and can help you in other academic activities as well.

What you will learn in Mathematical Foundations for Data Science and Analytics Specialization:

  • Perform vector and matrix calculations using NumPy for data science.
  •  Calculate expected values ​​and apply normal distributions for analysis.
  •  Perform derivatives and integrations for optimization in data science.
  •  Apply probability theory and regression methods with Python.
  •  And…

Course Specifications

  • Publisher : Coursera
  • Teacher : Morgan Frank
  • Language: English
  • Level : Beginner
  • Lectures : 68
  • Duration : 12 months at 33 hours a week

Mathematical Foundations for Data Science and Analytics Specialization Topics:

Mathematical Foundations for Data Science and Analytics Specialization Content

Prerequisites

None

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Mathematical Foundations for Data Science and Analytics Specialization

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subtitle: English

Quality: 720p

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Download Part 2 – 702 MB

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1.7 GB