English | Size: 2.3 GB
Genre: eLearning
to enhance your job skills
What you’ll learn
Students will learn the theoretical concepts of statistics.
students will lean about the theory and practice of the measure of central tendency.
students will learn the theory and practice of the measure of variability.
Students will learn the theory and practice of different visualisation techniques.
Students will learn about the types of data used in statistics.
Students will learn the theory and practical aspects of probility and distributions.
Students will learn about sampling techniques in statistics
Students will learn the theory and practicle aspects of the central limit theorem.
Students will learn the theory and practical aspects of hypothesis testing.
Students will learn about confidence intervals.
Students will learn the theory and practical aspects of regression.
Students will learn the theory and practical aspects of Bayesian statistics.
Students will learn the theory and practical aspects of goodness of fit tests used in regression.
Students will learn some real world examples that statistics is used in.
This course is designed to give the student a basic understanding of statistics, how to create statistical models in Excel, and how to statistics in his day to day life.
The student will learn the following subjects that relate specifically to statistics:-
1. The student will learn the difference between descriptive and inferential statistics.
2. The student will learn about the different types of data.
3. The student will learn about the measure of central tendency.
4. The student will learn about the measure of dispersion.
5. the student will learn about the most appropriate visualisation techniques that can be used to present the data.
6. The student will learn about the different types of probability distributions.
7. The student will learn about the different types of sampling techniques.
8. The student will learn about the central limit theorem.
9. The student will learn about the various hypothesis testing techniques.
10. The student will learn about confidence intervals.
11. The student will learn about simple linear regression and multiple linear regression.
12. The student will learn about Bayesian statistics.
13. The student will learn about goodness of fit tests.
14. The student will learn about real world applications of statistics.
Who this course is for:
Anybody who wants to learn statistics for academic or professional reasons.
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