Virtual training in engineering statistics and probabilities has been created for people to become fully acquainted with engineering statistics and probabilities. Statistics and the Possibility of Engineering It provides the topics of statistics that are most needed by engineers in general. In the basic sciences and engineering today, we often need to gather information about collections of objects or people, which is the responsibility of statistics. And with the help of statistics, the collected information can be collected on a regular basis so that it is possible to get an overview of the total data with a brief look at the results obtained. Statistics is itself based on the theory of statistics, which is a branch of applied mathematics.
In statistical theory, random events and uncertainties are modeled by probability theory. In this science, the study and rational judgment of various subjects are done on the basis of a group, and the judgment of a particular individual is not at all relevant. In this course, we will cover what you need to know about probability and statistics for success in business and data science. This practical course deals more with real-world problems than with theory and statistics. Each section has examples in tests, course tests, and assessment tests.
We will begin by talking about the basics of data, understanding how to examine them by measuring central inclination, scatter, and building an understanding of how variable data sources relate to each other. After that, we are immersed in probability. And we learn about compounds and permutations, as well as conditional probability and how to use the Bayes theorem. We then discuss the most common distributions in statistics. And we build a solid foundation for understanding how to work with uniform, binomial, Poisson, and normal distributions.
Virtual training courses in statistics and engineering probabilities:
Understand the principles of probability.
Be able to implement basic statistics.
Understand how to use different statistical distributions.
Apply statistical methods and hypothesis testing to business problems.
Understand how regression models work.
Implement one-way and two-way ANOVA.
Understand Chi-Squared tests.
Be able to understand different types of data.
Who is this course for:
Someone interested in learning how to use probability and statistics in business or science.
Paper and pencil for taking notes
Optional: Excel or Python to run the simulation
Prerequisites for Statistics and Probability Engineering Course:
This course does not require any special prerequisites and the course is taught from the beginning.