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Course Details

Maths for Data Science Course

Get to master the fundamental mathematics toolkit for machine learning e.g., calculus, linear algebra, statistics, and probability. In this course you will get a deeper understanding on the math that make machine learning work. Get a solid understanding of the mathematical machinery behind the cool algorithms will give you an edge among your peers.

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Position Vacant

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Price

KES 15,000.00

This course has been specifically designed to help you understand the mathematical concepts behind the field of data science, so you can have a first principles level understanding of how to use data effectively in an organization.

The knowledge of this essential maths is particularly important for newcomers arriving at data science from other professions: hardware, engineering, retail, the chemical process industry, medicine and healthcare, business management e.t.c.

Requirements

Needed For Course Admission

  • Ability to study online
  • Critical thinking skills
  • Planning Skills
  • Communication Skills
  • Online Application
  • Have stable internet connectivity
  • Have a laptop (core i5 upwards, 8GB RAM, 500GB Hard-disk)
  • Student registration fee of KES 2,500.00

Learning

Value for Your Money

  • Linear Combinations
  • Vector Spaces
  • Linear Algebra Fundamentals
  • Probability
  • Statistics
  • Calculus
  • Geometry
  • Graph Knowledge

Are you looking for a practical and locally contextualized data science learning path? We are proud to say that our program has been designed to propel your career growth, personal ambitions and progress as well as to strengthen your technical skills and confidence in acing employment interviews while solving local socio-economic and business problems thus creating the desired impact.

Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material. You will gain high-quality statistics training from top industry practitioners.

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