DS406
Statistical Data Analysis
Faculty
Evgeniy Riabenko
Senior Data Scientist at The Trade Desk, London
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 aims to give students knowledge about statistical analysis methods with a focus on applications. We’ll consider various data science tasks that require statistics, study the taxonomy of statistical methods, learn their requirements and limitations, and apply them to different real-world problems and datasets using R.
Learning highlights
- To learn how to identify data analysis problems tackled with statistics .
- To be able to select the most fitting method to solve those problems.
Course outline
15 classes
Introduction
Foundations of statistical science: distributions and statistics. R basics.
Estimation and hypothesis tests
Point and interval parameter estimates. Fundamentals of hypothesis testing.
Parametric tests
Hypotheses about proportions, means, and variances.
Nonparametric tests
Sign, rank, permutation, and bootstrap tests.
Multiple hypothesis testing
Family-wise error rate, false discovery rate, and methods to control them.
Dependencies
Correlation for continuous and discrete variables.
ANOVA
Comparing multiple means using various kinds of ANOVAs.
Linear regression
Statistical perspective on linear regression.
Generalised linear models
Regression for binary and count targets.
Time series, part 1
Forecasting: ARIMA.
Time series, part 2
Forecasting: ETS and more.
Panel data
Regression for longitudinal data.
Causal inference, part 1
Basics of causal analysis. Graphs.
Causal inference, part 2
Observational causal inference: adjustments and more.
Final exam
Final exam
Course materials
Books
Prerequisites
Probability and statistics.
Methodology
Lectures, exercises, individual work.
Grading
Evgeniy Riabenko is a data scientist and researcher with 15 years of experience in both industry and academia. He got his PhD in mathematical modelling from Moscow State University, and has expertise in statistics, machine learning, optimization, and bioinformatics.
He taught statistics and data analysis courses at Harbour Space, Moscow State University, Moscow Institute of Physics and Technology, Higher School of Economics, as well as on various online platforms.
See full profileApply for this course
Statistical Data Analysis
by Evgeniy Riabenko
Total hours
45 Hours
Dates
Jan 30 - Feb 17, 2023
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.