2024/2025

Основы статистики

Статус: Маго-лего

Кто читает: Департамент больших данных и информационного поиска

Когда читается: 4 модуль

Охват аудитории: для своего кампуса

Язык: русский

Кредиты: 3

Программа дисциплины

Аннотация

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

Цель освоения дисциплины

• 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.

Планируемые результаты обучения

• 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

Содержание учебной дисциплины

• 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

Элементы контроля

• SGA
  Every week except Weeks 1 and 2 contains Staff Graded Assignments (SGAs), that are manually evaluated by one of the course's professors. You can submit your answers to an SGA only once.
• Programming Assignments
  Week 2 contains programming assignments. You are expected to submit all graded PA during the current week.
• Quizzes
  Every week contains graded quizzes. You are expected to submit all graded quizzes during the current week. Your submission attempts are limited: you’ll have only 2 attempts.
• F​inal project
  Final project has three parts: Programming Assignment, Quiz and Staff Graded Assignments. It has a strict deadline. After that you could not submit any changes.

Промежуточная аттестация

• 2024/2025 4th module
  0.3 * F​inal project + 0.1 * Programming Assignments + 0.3 * Quizzes + 0.3 * SGA

Список литературы

Рекомендуемая основная литература

• 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

Рекомендуемая дополнительная литература

• 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

Авторы

• Литвишкина Ален Витальевна
• Ахмедова Гюнай Интигам кызы