Master 2022/2023

Basic Statistics

Type: Compulsory course

Area of studies: Applied Mathematics and Informatics

Delivered by: Big Data and Information Retrieval School

Where: Faculty of Computer Science

When: 1 year, 3 module

Mode of studies: distance learning

Online hours: 82

Open to: students of one campus

Instructors: Довгополый Иоанн Алексеевич

Master’s programme: Master of Data Science

Language: English

ECTS credits: 5

Contact hours: 8

Course Syllabus

Abstract

We begin studying Statistics, a branch of mathematics that uses probability theory to analyze data.

Learning Objectives

• After completion of this course you will be able to do basic data science work, for example, answer in a statistically rigorous way question like "is it true that implementing of special offer increased value per one customer in a segment of young females?" or "is it true that people are more willing to pay for service when they become older?". You also will be prepared to study more sohpisticated Applied Statistics course.

Expected Learning Outcomes

• A​pply Python and pandas to dataset analysis
• A​nalyze datasets, distinguish between different variable types
• Summarize and visualize data
• M​ake conclusion based on data that takes into account random factors, test statistical hypotheses
• Estimate values with point and interval estimators, understand their properties

Course Contents

• 1. D​ata in statistics
• 2. W​orking with pandas
• 3. S​tatistical hypothesis testing (part 1)
• 4. S​tatistical hypothesis testing (part 2)
• 5. S​tatistical estimates
• 6. C​orrelations

Assessment Elements

• Final project
• Programming Assignments
• Staff-graded Assignments
• Quizzes

Interim Assessment

• 2022/2023 3rd module
  0.3 * Final project + 0.1 * Programming Assignments + 0.3 * Quizzes + 0.3 * Staff-graded Assignments

Bibliography

Recommended Core Bibliography

• Rohatgi, V. K., & Saleh, A. K. M. E. (2015). An Introduction to Probability and Statistics (Vol. 3rd edition). Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1050364
• Seemon Thomas. (2014). Basic Statistics. [N.p.]: Alpha Science Internation Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1663598

Recommended Additional Bibliography

• Larsen, R. J., & Marx, M. L. (2015). An introduction to mathematical statistics and its applications. Slovenia, Europe: Prentice Hall. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.19D77756

Authors

• Литвишкина Ален Витальевна
• SCHUROV ILYA VALEREVICH