Statistical Data Analysis

Faculty
Leah Isakov
Global Head of BioStatistics, Data Management, Programming and Medical Writing at Seqirus
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
This advanced course is devoted to the vast array of statistical analysis methods with focus on the applications.
We would consider various standard data analysis tasks that require statistics, study the statistical methods, learn their limits and assumptions, evaluate model fit and results interpretation.
Also, the apply methodology to different datasets and problems using R.
Learning highlights
- Identify cases where statistical analysis should be applied
- Select the most appropriate statistical method for the analysis
- Check if the data in hand satisfies the underlying assumptions of the method
- Run the analysis using R
- Interpret results
Course outline
4 classes
Session 1
Introduction/review, data types, probability and laws of probability. Random data types
Session 2
Foundations of statistics: estimation and hypothesis testing
Distribution, density function, expectations
Measures of Quality of Estimators
Sufficient Statistics
Completeness and Uniqueness
Central Limit Theorem
and sampling distribution
MLE
Prerequisites
This course is one of three in a wholistic series.
Students that have already taken MSL-111 and those with prior experience with HTML, CSS, and Javascript building simple web pages will be good candidates for this module.
Leah Isakov is a senior leader in the pharmaceutical industry with a unique combination of leadership and technical skills. She has worked in clinical trials for more than two decades and is known for delivering results. Leah has led NDA (New Drug Applications), PMA (Pre-Marketing Approvals) and BLA (Biologics License Applications) and have deep experience interacting with all the major regulatory bodies (FDA, EMEA, PMDA, Russian Ministry of Health, and Health Canada). She also has direct experience successfully managing cross-cultural international teams (USA, China, Japan and Canada). The recent therapeutic areas include Oncology, Infectious Diseases, Cardiovascular, Asthma, Renal Failure and HIV for Phase II-IV clinical trials in drugs and biologics.
As a leader, Dr. Isakov strives to be at the forefront of management practice. She incorporates data-driven decision making and quantitative risk management, and focus on building internal capabilities along with external collaborations. Leah believes that successful management comes from understanding the full organisational stack; that is, not only high-level strategy but also the technical aspects that enable success.
See full profileApply for this course
Statistical Data Analysis
by Leah Isakov
Total hours
45 Hours
Dates
Jun 10 - Jun 28, 2019
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.