Statistics 2 Part 1: Probability and Distribution Theory
The third in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
Monthly Subscription Starting at AED 99 + VAT
- Level Awareness
- المدة
- الطبع بواسطة The London School of Economics and Political Science
- Total students 860 enrolled
-
Offered by
عن
Statistics 2 Part 1 is a self-paced course from LSE which aims to develop your knowledge of elementary statistical theory, particularly relating to the concepts, methods and techniques of measurement and hypothesis testing that were introduced in Statistics 1, Parts 1 and 2. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals.
Part 1, Probability and Distribution Theory, covers the following topics:
- Probability theory I
- Probability theory II
- Random variables
- Common distributions of random variables
- Multivariate random variables
There is an emphasis on topics that relate to econometrics, finance and quantitative social science. Concepts and methods that provide the foundations for more specialised undergraduate-level courses in statistics and econometrics are introduced.
What you will learn
By the end of this course, you will:
-
Have developed key ideas from Statistics 1 that are accessible to a student with a moderate mathematical competence
-
apply and be competent users of standard statistical operators
-
be able to recall a variety of well-known distributions and their respective moments
Skills you learn
Syllabus
● Probability theory I
● Probability theory II
● Random variables
● Common distributions of random variables
● Multivariate random variables
Auto Summary
Enhance your quantitative skills with "Statistics 2 Part 1: Probability and Distribution Theory" by edX. This IT & Computer Science course is part of a comprehensive series designed to master statistics fundamentals, ideal for progressing in high-growth careers or advancing towards further undergraduate study. Accessible via Professional and Starter subscriptions, this course offers foundational awareness in probability and distribution theories. Perfect for aspiring professionals and students seeking a robust statistical skillset.
James Abdey