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Обработка больших данных
Космачев Алексей Дмитриевич,
Бардуков Анатолий Андреевич,
and
Зимовнов Андрей Вадимович
Космачев Алексей Дмитриевич,
Бардуков Анатолий Андреевич,
and
Зимовнов Андрей Вадимович
Ключ к успешному развитию любой компании в современном мире — это умение делать быстрые и правильные решения, основываясь на данных. С каждым годом этих данных становится всё больше, при этом старые методы анализа перестают адекватно работать на таких...
Read more
Ключ к успешному развитию любой компании в современном мире — это умение делать быстрые и правильные решения, основываясь на данных. С каждым годом этих данных становится всё больше, при этом старые методы анализа перестают адекватно работать на таких...
Read more
Ключ к успешному развитию любой компании в современном мире — это умение делать быстрые и правильные решения, основываясь на данных. С каждым годом этих данных становится всё больше, при этом старые методы анализа перестают адекватно работать на таких объемах.
На этом онлайн-курсе НИУ ВШЭ мы изучим основные технологии и приемы, позволяющие эффективно хранить и обрабатывать огромные массивы информации. Мы также обсудим, откуда данные вообще возникают, как их собирать и какая инженерная подготовка требуется для безболезненной работы с этими технологиями.
Register for this course and see more details by visiting:
OpenCourser.com/course/0ncrel/obrabotka
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Learn advanced technologies for working with large datasets
Taught by renowned instructors Zimovnov, Kosmachev, and Bardukov
Covers methods for storing, processing, and analyzing big data
Strengthens understanding of data sources and collection techniques
Provides a solid foundation for working with big data
Some prerequisite knowledge in data analysis may be beneficial
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Save Обработка больших данных to your list so you can find it easily later:
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Reviews summary
Effective big data handling
Students say this course effectively teaches the basics of big data handling with a lot of practical application. One student did note that some of the practice assignments had broken data sets.
Many practical applications to enhance learning
"Интересный курс, много практики."
"Very liked the section about bash: discovered something new, although he himself is familiar with it and has been using it for a long time."
Be prepared to encounter broken data sets in some practice assignments
"В некоторых практических заданиях битые выборки, нет возможности потыкать данные."
Expect challenging homework assignments
"Хороший курс, домашки сложные"
Activities
Coming soon
We're preparing activities for
Обработка больших данных.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Обработка больших данных will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts play a key role in developing strategies for collecting, cleaning, and analyzing large datasets. Taking this course will help you build a foundation in the technologies used to store and process these datasets. The course will also discuss current analytical best practices, which Data Analysts can leverage to produce quality insights.
Data Scientist
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and computer science to build models that can predict future outcomes. The technologies and tools covered in this course are essential for Data Scientists to efficiently handle large datasets and build models at scale. Taking this course will help you gain hands-on experience with these technologies and build a portfolio of projects that you can showcase to potential employers.
Big Data Architect
Big Data Architect
Big Data Architects design and implement systems for storing and processing large datasets. This course will provide you with knowledge of the different technologies and techniques used in Big Data Architecture. Taking this course will help you stay up-to-date on the latest Big Data technologies and trends.
Business Intelligence Manager
Business Intelligence Manager
Business Intelligence (BI) Managers oversee the collection, analysis, and reporting of data within an organization. The insights generated by BIs are used to support decision-making and improve business outcomes. Taking this course will give you the skills needed to manage and interpret large datasets and produce data-driven insights.
Data Engineer
Data Engineer
Data Engineers build and maintain the infrastructure used to store and process large datasets. The technologies covered in this course are essential for Data Engineers to build and maintain reliable and scalable data pipelines. Taking this course will help you gain the skills and knowledge needed to succeed as a Data Engineer.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning (ML) Engineers use their knowledge of ML algorithms and techniques to build and deploy ML models. The technologies and tools covered in this course are essential for ML Engineers to efficiently handle large datasets and build ML models at scale. Taking this course will help you gain hands-on experience with these technologies and tools and build a portfolio of projects to showcase to potential employers.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data to help stakeholders understand complex datasets. The insights generated through data visualization are used to support decision-making, improve customer experience, and identify trends and patterns. Taking this course will help you gain the skills needed to create effective data visualizations.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the accuracy, consistency, and security of data within an organization. Taking this course will help you gain the skills and knowledge needed to manage data effectively and ensure compliance with industry regulations.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course will give you the knowledge and skills needed to manage large datasets and protect the integrity of an organization's data. Taking this course may help you stand out in your role by providing expertise in big data technologies.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. The technologies and tools covered in this course are becoming increasingly important for Quantitative Analysts as financial institutions look to leverage big data to gain a competitive advantage. Taking this course may help you stand out in your role by providing expertise in big data technologies.
Software Developer
Software Developer
Software Developers design and build software applications. This course will give you the skills and knowledge needed to develop software applications that can handle large datasets. Taking this course may help you stand out in your role by providing expertise in big data technologies.
Enterprise Architect
Enterprise Architect
Enterprise Architects design and manage the technology infrastructure of an organization. This course will give you the knowledge and skills needed to design and manage large-scale data systems. Taking this course may help you stand out in your role by providing expertise in big data technologies.
Product Manager
Product Manager
Product Managers oversee the development and launch of new products and services. This course will give you the skills and knowledge needed to analyze customer data and develop products that meet their needs. Taking this course may help you stand out in your role by providing expertise in big data technologies.
Marketer
Marketer
Marketers develop and execute marketing campaigns. This course will give you the skills and knowledge needed to analyze marketing data and develop effective campaigns. Taking this course may help you stand out in your role by providing expertise in big data technologies.
Sales Manager
Sales Manager
Sales Managers lead and oversee sales teams. This course will give you the skills and knowledge needed to analyze sales data and develop effective sales strategies. Taking this course may help you stand out in your role by providing expertise in big data technologies.
For more career information including salaries, visit:
OpenCourser.com/course/0ncrel/obrabotka
Reading list
We've selected nine 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
Обработка больших данных.
Provides a practical introduction to data science for business professionals. It covers topics such as data collection, analysis, and visualization.
Provides a comprehensive overview of the Hadoop ecosystem, including topics such as HDFS, MapReduce, and Hive.
Provides a comprehensive overview of the Spark framework, including topics such as Spark SQL, Spark Streaming, and Spark MLlib.
Provides a practical introduction to machine learning using Python. It covers topics such as supervised learning, unsupervised learning, and deep learning.
Save
Provides a comprehensive overview of deep learning, including topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks.
Save
Provides a comprehensive overview of data mining, including topics such as data preprocessing, clustering, and classification.
Provides a comprehensive overview of data warehousing, including topics such as data modeling, ETL, and data quality.
Provides a comprehensive overview of dimensional modeling, including topics such as star schemas, snowflake schemas, and bridge tables.
Provides a practical introduction to big data analytics for beginners. It covers topics such as data collection, data storage, and data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/0ncrel/obrabotka
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Time
24 hours
Via
Coursera
Institution
HSE University
Instructors
Космачев Алексей Дмитриевич
Бардуков Анатолий Андреевич
Зимовнов Андрей Вадимович
This course belongs to a
collection
called
Промышленное машинное обучение. It's comprised of three courses:
- Обработка больших данных (viewing)
- Проектирование и реализация систем машинного обучения
- Машинное обучение на больших данных
Good to know
Learn advanced technologies for working with large datasets
Taught by renowned instructors Zimovnov, Kosmachev, and Bardukov
Covers methods for storing, processing, and analyzing big data
Strengthens understanding of data sources and collection techniques
Provides a solid foundation for working with big data
Some prerequisite knowledge in data analysis may be beneficial
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