About this Course

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Learner Career Outcomes

41%

started a new career after completing these courses

48%

got a tangible career benefit from this course

30%

got a pay increase or promotion

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 56 hours to complete

Russian

Subtitles: Russian

Skills you will gain

Python ProgrammingMachine Learning (ML) AlgorithmsMachine LearningPandas

Learner Career Outcomes

41%

started a new career after completing these courses

48%

got a tangible career benefit from this course

30%

got a pay increase or promotion

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 56 hours to complete

Russian

Subtitles: Russian

Offered by

National Research University Higher School of Economics logo

National Research University Higher School of Economics

Yandex School of Data Analysis logo

Yandex School of Data Analysis

Syllabus - What you will learn from this course

Content RatingThumbs Up92%(40,600 ratings)Info
Week
1

Week 1

5 hours to complete

Знакомство с анализом данных и машинным обучением

5 hours to complete
6 videos (Total 58 min), 5 readings, 2 quizzes
6 videos
Видеоролик о курсе2m
Формальная постановка задачи машинного обучения14m
Примеры применения машинного обучения — 110m
Примеры применения машинного обучения — 213m
Проблема переобучения. Методология решения задач машинного обучения.15m
5 readings
Об университете10m
Приветствие и вводная информация10m
FAQ10m
Python для анализа данных10m
Работа с векторами и матрицами в NumPy10m
1 practice exercise
Основные понятия машинного обучения30m
4 hours to complete

Логические методы классификации

4 hours to complete
4 videos (Total 35 min)
4 videos
Алгоритм построения решающего дерева6m
Обработка пропусков. Достоинства и недостатки решающих деревьев.8m
Способы устранения недостатков решающих деревьев12m
1 practice exercise
Решающие деревья30m
Week
2

Week 2

7 hours to complete

Метрические методы классификации

7 hours to complete
4 videos (Total 34 min)
4 videos
Метод окна Парзена8m
Метрические методы классификации в задаче восстановления регрессии9m
Обнаружение выбросов6m
1 practice exercise
Метрические методы30m
4 hours to complete

Линейные методы классификации

4 hours to complete
5 videos (Total 31 min)
5 videos
Градиентные методы численной минимизации и алгоритм SG5m
Алгоритм SAG3m
Метод стохастического градиента. Достоинства и недостатки.10m
Проблема переобучения5m
1 practice exercise
Линейные методы и градиентный спуск30m
Week
3

Week 3

11 hours to complete

Метод опорных векторов и логистическая регрессия

11 hours to complete
5 videos (Total 38 min)
5 videos
Метод опорных векторов. Обобщение для нелинейного случая8m
Логистическая регрессия6m
Пример применения логистической регрессии5m
Регуляризованная логистическая регрессия2m
2 practice exercises
Особенности метода опорных векторов30m
Логистическая регрессия30m
4 hours to complete

Метрики качества классификации

4 hours to complete
3 videos (Total 31 min)
3 videos
Метрики качества классификации — 212m
Многоклассовая классификация7m
1 practice exercise
Метрики качества классификации30m
Week
4

Week 4

3 hours to complete

Линейная регрессия

3 hours to complete
3 videos (Total 23 min)
3 hours to complete

Понижение размерности и метод главных компонент

3 hours to complete
1 video (Total 14 min)

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

More questions? Visit the Learner Help Center.