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Binomial, Normal Distribution, Matrices for Data Science

Self-paced video training — 15 modules, 15 lessons. Work through it at your own pace — every lesson is real recorded training, not slide-reading.

15
MODULES
15
LESSONS
720p
STREAMING
LIFE
ACCESS
▶INSIDE THE COURSE · 15 LESSONS
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ABOUT THIS COURSE

In this intermediate course, students will explore key concepts related to probability and statistics, focusing on the binomial and normal distributions. They will learn how to apply these distributions to real-world data science problems, as well as gain an understanding of continuous random variables and their significance in data analysis. The course emphasizes practical applications through exercises and examples.

CURRICULUM

15 modules, in order.

15 LESSONS · LIFETIME ACCESS
01Introduction1 LESSONS
▶Introduction

this lesson provides an overview of the course content and objectives.

02Binomial Distribution1 LESSONS
▶Binomial Distribution

this lesson covers the principles and applications of binomial distribution.

03Continuous Random Variables1 LESSONS
▶Continuous Random Variables

this lesson discusses the characteristics and significance of continuous random variables.

04Normal Distribution1 LESSONS
▶Normal Distribution

this lesson explains the concept and properties of normal distribution.

05Z table Distribution1 LESSONS
▶Z Table Distribution

this lesson introduces the Z table and its use in statistics.

06Central Limit Theorem - CLT1 LESSONS
▶CLT

this lesson explains the central limit theorem and its importance in statistics.

07Decision Making1 LESSONS
▶Decision Making

this lesson focuses on decision-making processes in data analysis.

08CRISP DM Framework1 LESSONS
▶CRISP-DM methodology

this lesson outlines the CRISP-DM framework for data mining projects.

+ 7 more modules in the full course — 15 lessons total.

CURATED BY

ChartMastery
CURATED LIBRARY

Selected from experienced educators' training libraries and kept whole — modules, worked examples and walkthroughs exactly as taught.

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$39 · ONE PAYMENT

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