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Machine Learning

Master machine learning fundamentals in four hands-on courses

About This Specialization This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data. Created by: Industry Partners: 4 courses Follow the suggested order or choose your own. Projects Designed to help you practice and apply the skills you learn. Certificates Highlight your new skills on your resume or

Программирование на Python

Программирование на Python


About this course: Python – простой, гибкий и невероятно популярный язык, который используется практически во всех областях современной разработки. С его помощью можно создавать веб-приложения, писать игры, заниматься анализом данных, автоматизировать задачи системного администрирования и многое другое. “Программирование на Python” читают разработчики, применяющие Python в проектах, которыми ежедневно пользуются миллионы людей. Курс покрывает все необходимые для ежедневной работы программиста темы, а также рассказывает про многие особенности языка, которые часто опускают при его изучении. В ходе курса вы изучите конструкции языка, типы и структуры данных, функции, научитесь применять объектно-ориентированное и функциональное программирование, узнаете про особенности реализации Python, научитесь писать асинхронный и многопоточный код. Помимо теории вас ждут практические задания, которые помогут проверить полученные знания и отточить навыки программирования на Python. После успешного окончания курса вы сможете использовать полученный опыт для разработки проектов различной сложности.

Who is this class for: Этот курс будет полезен студентам и профессионалам, которые имеют навыки программирования на других языках и хотят познакомиться с Python или углубить свои знания о нём. Для успешного прохождения курса нужен базовый опыт программирования на любом языке.


Created by:  Moscow Institute of Physics and Technology, Mail.Ru Group
LevelIntermediate
Commitment6 недель обучения, 5-7 часов нагрузки в неделю.
Language
Russian
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 5.0See what learners said

Syllabus
WEEK 1
Введение в Python.
На первой неделе вы познакомитесь с языком, основными конструкциями и базовыми типами. Настроите окружение для работы и выберете среду разработки.

15 videos12 readings1 practice quiz
Graded: Тест по неделе
Graded: Проверка установки Python
Graded: Сумма цифр в строке
Graded: Рисуем лестницу
Graded: Корни квадратного уравнения
WEEK 2
Структуры данных и функции.
В этой неделе вы узнаете про новые типы данных — коллекции, познакомитесь с функциями, а так же научитесь использовать функциональное программирование в Python.

12 videos6 readings2 practice quizzes 
Graded: Тест по неделе
Graded: Key-value хранилище
Graded: Декоратор to_json
WEEK 3
Объектно-ориентированное программирование.
В третьей неделе вас ждёт погружение в мир объектно-ориентированного программирования на Python. Вы научитесь создавать свои классы, применять наследование и обрабатывать исключения в программах.

12 videos7 readings2 practice quizzes
Graded: Тест по неделе
Graded: Реализация простого класса для чтения из файла
Graded: Классы и наследование
WEEK 4
Углубленный Python.
В этой неделе мы более подробно познакомимся с тем, как работают классы в Python. Узнаем, как создавать свои классы, которые поддерживают стандартные протоколы и методы. Научимся отлаживать и тестировать свои программы.

8 videos8 readings1 practice quiz
Graded: Файл с магическими методами
Graded: Дескриптор с комиссией
Graded: Тест по неделе
WEEK 5
Многопоточное и асинхронное программирование.
Пятая неделя посвящена одной из самых актуальных тем современного мира разработки — асинхронному и многопоточному программированию. Вы узнаете про процессы и потоки, а также научитесь писать асинхронный код с помощью asyncio.

14 videos6 readings2 practice quizzes

Graded: Тест по неделе
Graded: Клиент для отправки метрик
WEEK 6
Финальный проект.
На последней неделе курса вам предстоит реализовать полноценное серверное приложение для получения метрик от множества клиентов.
Graded: Сервер для приема метрик


How It Works
Coursework
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.


Creators
Moscow Institute of Physics and Technology
Московский физико-технический институт (неофициально известный как МФТИ или Физтех) является одним из самых престижных в мире учебных и научно-исследовательских институтов. Он готовит высококвалифицированных специалистов в области теоретической и прикладной физики, прикладной математики, информатики, биотехнологии и смежных дисциплин. Физтех был основан в 1951 году Нобелевской премии лауреатами Петром Капицей, Николаем Семеновым, Львом Ландау и Сергеем Христиановичем. Основой образования в МФТИ является уникальная «система Физтеха»: кропотливое воспитание и отбор самых талантливых абитуриентов, фундаментальное образование высшего класса и раннее вовлечение студентов в реальную научно-исследовательскую работу. Среди выпускников МФТИ есть Нобелевские лауреаты, основатели всемирно известных компаний, известные космонавты, изобретатели, инженеры.
Mail.Ru Group


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