Math for Data Science

0
Certificate

Paid

Language

Level

Intermediate

Access

Free

Last updated on December 23, 2024 11:46 am

This free online business analysis course shows you the linear algebra and probability calculations you need to undertake complex projects in data science.

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If your goal is to be a data scientist, analyst or engineer, then some level of mathematical ability is an absolute must. This course covers fundamental linear algebra, probability, and statistics relevant to applying math in data science and the real world.

What You Will Learn In This Free Course

  • Discuss the different forms of a lin…
  • Arrange a system of linear equations…
  • Solve a system of linear equations u…
  • Define the idea of a vector space an…
  • Discuss the different forms of a linear equation
  • Arrange a system of linear equations into augmented matrix form
  • Solve a system of linear equations using REF or R-REF
  • Define the idea of a vector space and name the two vector spaces introduced during the course
  • Explain how linear independence and span are related
  • Compute a least-squares solution via pseudoinverse
  • Recall the three elements of a probability model
  • Distinguish between a PMF and PDF
  • Compare covariance and variance
  • Contrast the law of large numbers and the central limit theorem
  • Describe the steps involved in computing a joint PDF
  • Indicate how to find the mean squared error using the Bayesian estimator
  • Linear Algebra for Data Science

    This module will explore the essential concepts in linear algebra that data science professionals should be familiar with, especially if the intention is to become a data scientist.

    Probability and Statistics for Data Science

    This module introduces you to probability and statistics. By the end, you will know how to take a real-life problem and convert it into a probability question and then understand how to make conclusions from it using statistics.

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