The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could lead to erroneous decisions which could potentially have negative consequences for a firm. This course is designed to introduce you to Business Statistics. We begin with the notion of descriptive statistics, which is summarizing data using a few numbers. Different categories of descriptive measures are introduced and discussed along with the Excel functions to calculate them. The notion of probability or uncertainty is introduced along with the concept of a sample and population data using relevant business examples. This leads us to various statistical distributions along with their Excel functions which are then used to model or approximate business processes. You get to apply these descriptive measures of data and various statistical distributions using easy-to-follow Excel based examples which are demonstrated throughout the course.
Об этом курсе
- 5 stars78,84 %
- 4 stars18,07 %
- 3 stars2,36 %
- 2 stars0,50 %
- 1 star0,21 %
Лучшие отзывы о курсе BASIC DATA DESCRIPTORS, STATISTICAL DISTRIBUTIONS, AND APPLICATION TO BUSINESS DECISIONS
Excellent course for someone who wants to learn statistics. This is a fantastic course for a person that wants to learn real world examples rather bogged down with formulas.
This is one of the best courses i have atended since, the exercises are all related to the topic.Great job. .
Thanks to Mr Sharad Borle for explaining very well the content in this course .
The Instructor is awesome. Every content is been introduced simply that anyone can understand. The course will increase your intention towards the statistics in daily life.
Excellent exposition on popular statistical functions such as Binomial, Poisson and Normal distribution functions. Thorough understanding of discrete versus continuous data.
Специализация Business Statistics and Analysis: общие сведения
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