Statistics Fundamentals

2h 4m 10s
English
Paid

Course description

Master statistics for data-driven careers. Build a strong statistical foundation for data science, analysis, and decision making. Succeed in interviews and apply your knowledge to real-world problems.

Watch Online

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 12 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing
0:00
/
#1: Introduction

All Course Lessons (12)

#Lesson TitleDurationAccess
1
Introduction Demo
04:00
2
1. Random Variables
06:26
3
2. Mean, Variance, Standard Deviation
02:53
4
3. Covariance & Correlation
05:17
5
4. Probability Distribution Functions
12:42
6
5. Conditional Probability & Bayes Theorem
09:09
7
6. Introduction to Causal Analysis & Linear Regression
14:51
8
7. Hypothesis Testing & Statistical Significance
10:38
9
8. P-Values, Type I & Type II Errors, Confidence Intervals
18:53
10
9. Statistical Tests (Part 1)
17:36
11
10. Statistical Tests (Part 2)
13:59
12
11. Inferential Statistics (CLT & LLN)
07:46

Unlock unlimited learning

Get instant access to all 11 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Books

Read Book Statistics Fundamentals

#Title
1Fundamentals of Statistics

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

A/B Testing for Data Science

A/B Testing for Data Science

Sources: LunarTech
Stand out in the competitive job market in the field of data science. Master A/B testing - a skill highly valued by employers. Learn...
1 hour 47 minutes 56 seconds
Sidekiq in Practice

Sidekiq in Practice

Sources: Nate Berkopec
Are you using Sidekiq to process your background jobs, but struggling with it as your application scales? Sidekiq can scale to 5,000 jobs per second with just a little effort an...
1 hour 4 minutes 45 seconds
Software Architecture & Design of Modern Large Scale Systems

Software Architecture & Design of Modern Large Scale Systems

Sources: udemy
In this practical course, you will learn how to architect real-life systems, that scale to millions of daily users, as well as process and store petabytes of da
6 hours 57 minutes 25 seconds
Automata Theory: inside a RegExp machine

Automata Theory: inside a RegExp machine

Sources: Dmitry Soshnikov
State machines — the fundamental concept used today in many practical applications, starting from UI programming like React, automated reply systems, lexical an
1 hour 48 minutes 5 seconds