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Introduction to Statistics (English Edition)
Rating: 4.8 out of 5(68 ratings)
643 students

Introduction to Statistics (English Edition)

This course is an introduction to statistics, covering probability distributions, estimation, and hypothesis testing.
Created byMiyamoto Shota
Last updated 5/2024
English

What you'll learn

  • Descriptive Statistics (Median/Mean/Variance/Standard Deviation/Standardization)
  • Probability Distributions (Probability Models/Binomial Distribution/Normal Distribution)
  • Point Estimation (Point Estimates of Population Mean and Population Variance)
  • Interval Estimation I (Interval Estimation of the Population Mean)
  • Interval Estimation II (T-Distribution/Central Limit Theorem)
  • Interval Estimation III (Interval Estimation of the Population Proportion)
  • Hypothesis Testing (Process of Hypothesis Testing/Testing of Population Mean)

Course content

8 sections • 58 lectures • 4h 1m total length

  • Introduction3:51

    Let's begin our Statistics Basics Course.

    In this course, we focus on the fundamentals of statistics.

  • Lecture slides0:04

    You can download the lecture slides from here.

  • Population and Sample2:56

    Let's dive into the course content.

    In Section 1, we will look at descriptive statistics.

    Firstly, we'll look at some basic statistical terms.

    We'll begin with the concepts of population and sample, which are very important terms.

  • Variables2:30

    In this lecture, let's look at variables.

    Variables are, quite literally, values that change.

    We call these changing values variables.

  • Histogram (Frequency distribution)2:54

    In this lecture, let's discuss histograms.

    Histograms are also known as frequency distribution charts.

    A histogram is a basic diagram for visualizing variables, which we looked at in the previous lecture.

  • Scatter plot2:59
  • Descriptive statistics1:58
  • Representative value1:57
  • Median2:57
  • Mean2:52
  • Outlier2:58
  • Mean deviation2:21
  • Variance3:19
  • Standard deviation (SD)2:40
  • Standardization4:01

Requirements

  • No specific requirements

Description

This is a basic course designed for us to efficiently learn the fundamentals of statistics together!

(The English version* of the statistics course chosen by over 28,000 people in the Japanese market!")

*Note: The script and slides are based on the original version translated into English, and the audio is generated by AI.


  • "Let's make sure to standardize the data and check its characteristics."

  • "Could we figure out the confidence interval for this data?"

  • "Let's check if the results of this survey can be considered statistically significant."

In the business world, there are many situations where statistical literacy becomes essential.

With the widespread adoption of AI/machine learning and a strong need for DX/digitalization, these situations are expected to increase.

This course is aimed at ensuring we're well-equipped with statistical literacy and probabilistic thinking to navigate such scenarios.

We'll carefully explore the basics of statistics, including "probability distributions, estimation, and hypothesis testing."

By understanding "probability distributions," we'll develop a statistical perspective and probabilistic thinking.

Learning about "estimation" will enable us to discuss populations from data (samples), and grasping "testing" will help us develop statistical hypothesis thinking.

This course is tailored for beginners in statistics and will explain concepts using a wealth of diagrams and words, keeping mathematical formulas and symbols to the minimum necessary for understanding.

It's structured to ensure that even beginners can learn confidently.

Let's seize this opportunity to acquire lifelong knowledge of statistics together!

(Note: Please be aware that this course does not cover the use of tools or software like Excel, R, or Python.)


What we will learn together:

  • Basic statistical literacy Knowledge of "descriptive statistics" in statistics

  • Understanding of "probability" and "probability models" in statistics

  • Understanding of "point estimation" and "interval estimation" in statistics

  • Understanding of "statistical hypothesis testing" in statistics

  • Comprehension of statistics through abundant diagrams and explanations

  • Visual imagery related to statistics

  • Reinforcement of memory through downloadable slide materials

Who this course is for:

  • New to statistics
  • Tried to learn statistics but gave up
  • Wish to relearn statistics from the basics
  • Curious about what statistics is like
  • Frequently deal with data in business
  • Want to organize fragmented knowledge of statistics
  • Prefer to understand through diagrams and words rather than formulas and symbols
  • Want to learn statistics but don't have time to study textbooks

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