Giới thiệu về Thống kê (Phiên bản Tiếng Anh)

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