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Управление анализом данных

Jeff Leek, PhD, Brian Caffo, PhD, and Roger D. Peng, PhD

Этот недельный курс описывает процесс анализа данных и способы управления этим процессом. Мы рассмотрим итеративный характер анализа данных и роль постановки точного вопроса, исследовательский анализ данных, выводы, формальное статистическое моделирование, интерпретацию и коммуникацию. Также вы узнаете, как организовать аналитическую работу внутри команды и направить процесс анализа данных на получение понятных и полезных результатов.

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Этот недельный курс описывает процесс анализа данных и способы управления этим процессом. Мы рассмотрим итеративный характер анализа данных и роль постановки точного вопроса, исследовательский анализ данных, выводы, формальное статистическое моделирование, интерпретацию и коммуникацию. Также вы узнаете, как организовать аналитическую работу внутри команды и направить процесс анализа данных на получение понятных и полезных результатов.

Это специализированный курс, предназначенный для быстрого ознакомления с процессом анализа данных и способами управления этим процессом. Мы стремились сделать курс максимально удобным для вас, не жертвуя важными материалами. Техническую информацию мы оставили в стороне, чтобы вы могли сконцентрироваться на управлении своей командой и ее развитии.

По окончании этого курса вы сможете:

1. Описать базовый цикл анализа данных

2. Определять различные типы вопросов и преобразовывать их в специальные наборы данных

3. Описать различные типы получения данных

4. Анализировать наборы данных, чтобы определять, подходят ли они для вопроса

5. Координировать построение модели для распространенных типов анализа данных

6. Интерпретировать результаты распространенных типов анализа данных

7. Объединять статистические выводы для составления последовательных презентаций анализа данных

Затраты времени: 1 учебная неделя, 4–6 часов

Обложка курса от fdecomite. Creative Commons https://flic.kr/p/4HjmvD

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What's inside

Syllabus

Управление анализом данных
Добро пожаловать на курс "Управление анализом данных"! Курс содержит один модуль и рассчитан на одну неделю. Наиболее эффективно изучать материалы в том порядке, в котором он представлены. Каждая лекция содержит видео и материалы для самостоятельного изучения, дополняющие лекцию. Рад видеть вас на занятии и с нетерпением жду, когда вы станете частью учебного сообщества. Если у вас есть вопросы по содержимому курса, задавайте их на форумах, чтобы получить помощь от других участников. Для решения технических проблем с платформой Coursera обращайтесь в Центр поддержки учащихся. Желаю вам успехов в учебе и надеюсь, что вам понравится курс!

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Разработан для помощи в управлении командой по анализу данных
Сосредоточен на руководителях аналитических команд и на том, как направить процесс анализа данных на получение понятных и полезных результатов
Включает практические примеры и упражнения
Предоставляет подробное руководство по управлению анализом данных
Подходит для тех, кто хочет получить представление об управлении анализом данных
Длится всего одну учебную неделю

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Reviews summary

Informative and well-presented data analysis course

Students in this course give overwhelmingly positive feedback. Most say that the course is well-organized, informative, and timely. However, a few students suggest the course could benefit from providing more specific technical details.
Organized and detailed course.
"Thanks"
"Спасибо. Для меня это очень ценные знания."
"Отличный курс! Подача информаций и примеров!"
Could go into more detail on technical concepts.
"Н​а русском тяжело воспринимать субтитры к видео, так как многие слова имеют неверные окончания или перепутаны местами, получается ломается смысл текста и затрачиваешь больше времени, чтобы понять о чём говорит спикер, так же некоторые материалы для самостоятельного обучения требуют куда больше времени, чем 10 минут, хотя я так понимаю это время сделали стандартным и написали на всех темах самостоятельного обучения."

Activities

Coming soon We're preparing activities for Управление анализом данных. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Управление анализом данных will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst gathers and analyzes data to identify trends and patterns. Data Analysts can find work in various industries, including healthcare, finance, and retail. This course can help you get a job as a Data Analyst by providing you with the skills you need to collect, analyze, and interpret data to help businesses make informed decisions.
Business Analyst
A Business Analyst works with businesses to understand their needs and develop solutions to improve their operations. Business Analysts can work in various industries, including healthcare, finance, and retail. This course can help you get a job as a Business Analyst by providing you with the skills you need to analyze data, identify problems, and develop solutions.
Product Manager
A Product Manager is responsible for the development and launch of new products. Product Managers can work in various industries, including technology, healthcare, and manufacturing. This course can help you get a job as a Product Manager by providing you with the skills you need to analyze data, identify market opportunities, and develop new products.
Data Scientist
A Data Scientist uses data to solve problems and make predictions. Data Scientists can work in various industries, including healthcare, finance, and retail. This course can help you get a job as a Data Scientist by providing you with the skills you need to collect, analyze, and interpret data to help businesses make informed decisions.
Financial Analyst
A Financial Analyst uses data to analyze financial data and make investment recommendations. Financial Analysts can work in various industries, including banking, investment management, and insurance. This course can help you get a job as a Financial Analyst by providing you with the skills you need to collect, analyze, and interpret data to help businesses make informed decisions.
Marketing Analyst
A Marketing Analyst uses data to understand customer behavior and develop marketing campaigns. Marketing Analysts can work in various industries, including retail, healthcare, and technology. This course can help you get a job as a Marketing Analyst by providing you with the skills you need to collect, analyze, and interpret data to help businesses make informed decisions.
Operations Research Analyst
An Operations Research Analyst uses data to improve the efficiency of operations. Operations Research Analysts can work in various industries, including manufacturing, healthcare, and transportation. This course can help you get a job as an Operations Research Analyst by providing you with the skills you need to collect, analyze, and interpret data to help businesses make informed decisions.
Risk Analyst
A Risk Analyst uses data to identify and assess risks. Risk Analysts can work in various industries, including banking, insurance, and healthcare. This course can help you get a job as a Risk Analyst by providing you with the skills you need to collect, analyze, and interpret data to help businesses make informed decisions.
Statistician
A Statistician uses data to collect, analyze, and interpret data. Statisticians can work in various industries, including healthcare, finance, and education. This course may be useful for you if you want to become a Statistician, as it will provide you with the skills you need to collect, analyze, and interpret data.
Data Engineer
A Data Engineer builds and maintains data systems. Data Engineers can work in various industries, including technology, healthcare, and finance. This course can help you get a job as a Data Engineer by providing you with the skills you need to build and maintain data systems to help businesses make informed decisions.
Machine Learning Engineer
A Machine Learning Engineer builds and deploys machine learning models. Machine Learning Engineers can work in various industries, including technology, healthcare, and finance. This course may be useful for you if you want to become a Machine Learning Engineer, as it will provide you with the skills you need to build and deploy machine learning models to help businesses make informed decisions.
Web Developer
A Web Developer designs and develops websites and web applications. Web Developers can work in various industries, including technology, healthcare, and finance. This course may be useful for you if you want to become a Web Developer, as it will provide you with the skills you need to design and develop websites and web applications to help businesses make informed decisions.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. Software Engineers can work in various industries, including technology, healthcare, and finance. This course may be useful for you if you want to become a Software Engineer, as it will provide you with the skills you need to design, develop, and maintain software applications to help businesses make informed decisions.
IT Manager
An IT Manager plans and directs the implementation of information technology systems. IT Managers can work in various industries, including technology, healthcare, and finance. This course may be useful for you if you want to become an IT Manager, as it will provide you with the skills you need to plan and direct the implementation of information technology systems to help businesses make informed decisions.
Database Administrator
A Database Administrator designs, implements, and maintains databases. Database Administrators can work in various industries, including technology, healthcare, and finance. This course may be useful for you if you want to become a Database Administrator, as it will provide you with the skills you need to design, implement, and maintain databases to help businesses make informed decisions.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Управление анализом данных.
Provides a more advanced introduction to data science using Python. It good reference for those who want to learn more about the Python programming language.
Provides a more advanced introduction to the R programming language. It good reference for those who want to learn more about the R programming language.
Provides a comprehensive introduction to data science using R. It good reference for those who want to learn more about the R programming language.
Provides a good introduction to ggplot2, a popular data visualization library for R. It good reference for those who want to learn more about the R programming language.
Provides a good overview of the data science process, including data mining and data-analytic thinking. It good starting point for those new to the field.
Provides a good introduction to R Markdown, a popular tool for creating dynamic reports and presentations with R. It good reference for those who want to learn more about the R programming language.
Provides a probabilistic perspective on machine learning. It good reference for those who want to learn more about the theoretical foundations of machine learning.
Provides a good introduction to data analysis using Python. It good reference for those who want to learn more about the Python programming language.
Provides a good introduction to data manipulation with R. It good reference for those who want to learn more about the R programming language.

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