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You will get idea about the present fundamental concepts in applied probability, exploratory data analysis, and statistical inference, focusing on probability and analysis of one and two samples. The goal of this course is to equip you with biostatistics and quantitative scientists with core applied statistical concepts.

You will learn graphical and exploratory data analysis, hypothesis testing, confidence intervals, discrete and continuous probability models, variance, central limit theorem, inference, maximum likelihood estimation etc. and of course basic concepts of ANOVA.

Assessment

This course does not involve any written exams. Students need to answer 5 assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Each answer needs to be 200 words (1 Page). Once the answers are submitted, the tutor will check and assess the work.

Certification

Edukite courses are free to study. To successfully complete a course you must submit all the assignment of the course as part of the assessment. Upon successful completion of a course, you can choose to make your achievement formal by obtaining your Certificate at a cost of £49.

Having an Official Edukite Certification is a great way to celebrate and share your success. You can:

  • Add the certificate to your CV or resume and brighten up your career
  • Show it to prove your success

 

Course Credit: JHSPH Open

Course Curriculum

Module: 01
Lecture Number 1 Set Theory Basics and Probability 00:05:00
Lecture Number 2 Introduction to Probability 00:10:00
Lecture Number 3 Expected Values 1 00:10:00
Lecture Number 4 Random Vectors, Independence 1 00:10:00
Module: 02
Lecture Number 5 Conditional Probabilities, Baye’s Rule 1 00:10:00
Lecture Number 6 Likelihood 00:08:00
Lecture Number 7 Distributions 00:10:00
Lecture Number 8 Asymptotics 00:10:00
Module: 03
Lecture Number 9 Confidence Intervals 1 00:15:00
Lecture Number 10 Confidence Intervals 1 00:05:00
Lecture Number 11 Presentation of Data 1 00:15:00
Lecture Number 12 Bootstrapping 1 00:08:00
Lecture Number 14 Logs and Geometric Means 1 00:10:00
Assessment
Submit Your Assignment 00:00:00
Certification 00:00:00

Course Reviews

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