Data Science

  • Categories Development
  • Total Enrolled 18
  • Last Update September 14, 2021

Description

In this course we cover all the basic and advanced topics of Data Science.

Data Science

In this course, part of our Professional Program in Data Science,you will learn valuable concepts in probability theory. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.
  • Important concepts in probability theory including random variables and independence
  • How to perform a Monte Carlo simulation
  • The meaning of expected values and standard errors and how to compute them in R
  • The importance of the Central Limit Theorem
 
We will introduce important concepts such as random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem. These statistical concepts are fundamental to conducting statistical tests on data and understanding whether the data you are analyzing is likely occurring due to an experimental method or to chance. Probability theory is the mathematical foundation of statistical inference which is indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, part of our Professional Program in Data Science, you will learn valuable concepts in probability theory. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.

What Will I Learn?

  • Practice your new skills with coding challenges (solutions included)
  • Organize and structure your code using JavaScript patterns like modules
  • Get friendly and fast support in the course Q&A
  • Downloadable lectures, code and design assets for all projects

Topics for this course

Course Introduction

JavaScript Language Basics

How JavaScript Works Behind the Scenes

About the instructors

5.00 (3 ratings)

7 Courses

296 students

7999

Material Includes

  • 28 hours on-demand video
  • 11 articles
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion