University of London
Statistics for International Business
University of London

Statistics for International Business

This course is part of International Business Essentials Specialization

Taught in English

Some content may not be translated

George Kapetanios

Instructor: George Kapetanios

14,470 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

3.8

(291 reviews)

|

80%

10 hours (approximately)
Flexible schedule
Learn at your own pace

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Assessments

8 quizzes

Course

Gain insight into a topic and learn the fundamentals

3.8

(291 reviews)

|

80%

10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the International Business Essentials Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

In our study of statistics, we learn many methods to help us summarize, analyze, and interpret data with the aim of making informed decisions in an uncertain environment. In this first week we introduce tables and graphs that help us get a handle of data. These tools provide visual support for better decision making. With this in mind, we will guide you through the concept of decisions based on incomplete information. Beginning from here, we will introduce you to the concept of population vs. sample, of parameter vs. statistic and of descriptive statistics vs. inferential statistics. We will then go through the concept of describing data, and we will introduce the idea of creating and interpreting graphs to describe categorical and continuous random variables.

What's included

9 videos2 quizzes1 peer review

This week we will describe and summarize the information in the data using numerical values or measures that are able to summarise information. This is a crucial extension to the analysis of the previous week. While graphs are informative it is usually crucial for improved understanding of the data at hand to discuss their numerical properties. In this week, we will look at a range of measures, such as measures of central tendency, the range, variance, standard deviation, and so on.

What's included

10 videos2 quizzes

Probability theory is a young arrival in mathematics- and probability applied to practice is almost non-existent as a discipline. We should all understand probability, and this lecture will help you to do that. It’s important for you to understand first that the world in which your future occurs is not deterministic- and there are future outcomes where a probability model cannot be developed… This week, we will cover the basic definition of probability, the rules of probability,random variables, -probability density functions, expectations of a random variable and Bivariate random variables.

What's included

18 videos2 quizzes

For statistical analysis to work properly, it’s essential to have a proper sample, drawn from a population of items of interest that have measured characteristics. This week, we will cover statistical estimation, sampling distribution of the mean, point estimation, interval estimation, hypothesis testing, the Null hypothesis and look at some real life examples of their use.

What's included

22 videos4 readings2 quizzes1 peer review

Instructor

Instructor ratings
3.7 (25 ratings)
George Kapetanios
University of London
2 Courses20,182 learners

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Showing 3 of 291

3.8

291 reviews

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    14.43%

GS
4

Reviewed on Nov 15, 2020

AR
5

Reviewed on Aug 16, 2017

LP
5

Reviewed on May 4, 2020

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