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Что такое обработка и анализ данных?
Rav Ahuja
and
Alex Aklson
Rav Ahuja
and
Alex Aklson
Люди с древних времен занимаются поиском закономерностей и тенденций в данных. Древние египтяне использовали данные переписи для более эффективного сбора налогов, а также из года в год точно предсказывали разлив Нила. С тех времен люди, занимающиеся анализом...
Read more
Люди с древних времен занимаются поиском закономерностей и тенденций в данных. Древние египтяне использовали данные переписи для более эффективного сбора налогов, а также из года в год точно предсказывали разлив Нила. С тех времен люди, занимающиеся анализом...
Read more
Люди с древних времен занимаются поиском закономерностей и тенденций в данных. Древние египтяне использовали данные переписи для более эффективного сбора налогов, а также из года в год точно предсказывали разлив Нила. С тех времен люди, занимающиеся анализом данных, сделали эту сферу деятельности отдельной уникальной наукой. И эта наука называется «обработка и анализ данных». В этом курсе мы познакомимся с несколькими специалистами по обработке и анализу данных и разберемся, что представляет собой эта наука в современном мире.
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Introduces learners to the history and applications of data processing and analysis
Explores industry-standard methods in data collection, storage, and retrieval
Examines a variety of data analysis techniques, including statistical modeling, machine learning, and data visualization
Taught by Alex Aklson and Rav Ahuja, who have extensive experience in data analysis and management
Builds a strong foundation for learners interested in pursuing careers in data science, data analytics, and related fields
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Learners who complete Что такое обработка и анализ данных? will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
A Data Analyst examines and interprets large amounts of data using various techniques to uncover patterns, trends, and anomalies. This course from IBM Skills Network provides an introduction to the skills and knowledge required for a successful career as a Data Analyst. Learners will gain insights into data processing, analysis, and visualization techniques, which form the foundation of data analytics. By understanding the principles and practices covered in this course, individuals can enhance their ability to derive meaningful insights from data and contribute to data-driven decision-making.
Data Scientist
Data Scientist
A Data Scientist possesses advanced skills in data analysis, machine learning, and statistical modeling. This course offered by IBM Skills Network aligns well with the foundational knowledge required for a Data Scientist. Learners will gain an understanding of data processing, visualization, and analysis techniques, providing a strong basis for further exploration in data science. Additionally, the course provides insights into the practical applications of data science, making it valuable for aspiring Data Scientists looking to build a solid foundation in the field.
Business Analyst
Business Analyst
A Business Analyst bridges the gap between technology and business by analyzing data to understand business needs and translating them into technical solutions. This IBM Skills Network course provides a solid foundation for individuals seeking a career as a Business Analyst. Learners will acquire skills in data analysis, visualization, and interpretation, enabling them to effectively identify and solve business problems using data-driven insights.
Market Research Analyst
Market Research Analyst
A Market Research Analyst collects, interprets, and analyzes market data to understand consumer behavior and trends. The course offered by IBM Skills Network provides a valuable introduction to data analysis and interpretation techniques, which are essential for success in market research. Learners will gain insights into data collection, analysis, and reporting, enabling them to effectively contribute to market research initiatives.
Financial Analyst
Financial Analyst
A Financial Analyst examines financial data to assess the performance and risks of companies or investments. This course from IBM Skills Network provides a foundation in data analysis and interpretation, which are crucial skills for Financial Analysts. Learners will gain an understanding of data processing, visualization, and statistical analysis techniques, enabling them to effectively analyze financial data and make informed decisions.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to improve business operations and decision-making. This IBM Skills Network course provides a strong foundation in data analysis and modeling, which are essential skills for Operations Research Analysts. Learners will gain insights into data collection, analysis, and optimization techniques, enabling them to effectively contribute to data-driven decision-making in various industries.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data infrastructure and systems. This course offered by IBM Skills Network provides an introduction to data management and processing techniques, which are fundamental skills for Data Engineers. Learners will gain insights into data storage, retrieval, and analysis, enabling them to effectively design and manage data systems that support data-driven initiatives.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course from IBM Skills Network may provide a useful foundation for Software Engineers who wish to specialize in data-driven applications. Learners will gain insights into data analysis and visualization techniques, enabling them to effectively incorporate data into software solutions.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases to ensure data integrity and availability. This IBM Skills Network course provides an introduction to data management and processing techniques, which are valuable skills for Database Administrators. Learners will gain insights into data storage, retrieval, and analysis, enabling them to effectively administer and maintain databases for various applications.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course from IBM Skills Network may provide a helpful foundation for Quantitative Analysts who wish to enhance their data analysis and modeling skills. Learners will gain insights into data analysis, statistical modeling, and visualization techniques, enabling them to effectively contribute to investment analysis and decision-making.
Actuary
Actuary
An Actuary assesses and manages financial risks using mathematical and statistical techniques. This IBM Skills Network course may provide a useful foundation for Actuaries who wish to enhance their data analysis and modeling skills. Learners will gain insights into data analysis, statistical modeling, and visualization techniques, enabling them to effectively contribute to risk assessment and management in various industries.
Epidemiologist
Epidemiologist
An Epidemiologist investigates the causes and distribution of diseases in populations. This course from IBM Skills Network may provide a useful foundation for Epidemiologists who wish to enhance their data analysis and modeling skills. Learners will gain insights into data analysis, statistical modeling, and visualization techniques, enabling them to effectively analyze health data and contribute to disease prevention and control.
Statistician
Statistician
A Statistician designs, conducts, and interprets statistical studies to extract meaningful insights from data. This course from IBM Skills Network may provide a helpful foundation for Statisticians who wish to enhance their data analysis and modeling skills. Learners will gain insights into data analysis, statistical modeling, and visualization techniques, enabling them to effectively design and conduct statistical studies.
Data Journalist
Data Journalist
A Data Journalist uses data to tell stories and inform the public. This course from IBM Skills Network may provide a useful foundation for Data Journalists who wish to enhance their data analysis and visualization skills. Learners will gain insights into data analysis, data visualization, and storytelling techniques, enabling them to effectively communicate data-driven insights to a wide audience.
Risk Analyst
Risk Analyst
A Risk Analyst identifies, assesses, and manages risks to an organization. This course from IBM Skills Network may provide a useful foundation for Risk Analysts who wish to enhance their data analysis and modeling skills. Learners will gain insights into data analysis, risk assessment, and visualization techniques, enabling them to effectively contribute to risk management initiatives in various industries.
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Reading list
We've selected ten 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
Что такое обработка и анализ данных?.
Provides a comprehensive overview of advanced analytics with Spark. It great resource for students and professionals who want to learn about the different Spark libraries and how to use them to solve real-world problems.
Provides a practical guide to machine learning using Scikit-Learn, Keras, and TensorFlow. It great resource for students and professionals who want to learn how to use these tools to solve real-world problems.
Provides a practical guide to deep learning using Python. It great resource for students and professionals who want to learn how to use deep learning to solve real-world problems.
Provides a comprehensive overview of data science, including data collection, analysis, and visualization. It great resource for business professionals who want to learn more about data science and how it can be used to improve their decision-making.
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Provides a comprehensive overview of deep learning. It great resource for students and professionals who want to learn about the different types of deep learning algorithms and how to use them to solve real-world problems.
Provides a comprehensive overview of data science. It great resource for students and professionals who want to learn about the different aspects of data science, including data collection, analysis, and visualization.
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Provides a comprehensive overview of data mining. It great resource for students and professionals who want to learn about the different data mining algorithms and how to use them to solve real-world problems.
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Provides a step-by-step guide to data analysis using the R programming language. It great resource for students and professionals who want to learn how to use R to analyze data.
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Provides a practical guide to storytelling with data. It great resource for students and professionals who want to learn how to communicate data insights effectively.
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Provides a practical introduction to data visualization. It great resource for students and professionals who want to learn how to create effective data visualizations.
For more information about how these books relate to this course, visit:
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Time
2 hours
Via
Coursera
Institutions
IBM
IBM Skills Network
Instructors
Rav Ahuja
Alex Aklson
Good to know
Introduces learners to the history and applications of data processing and analysis
Explores industry-standard methods in data collection, storage, and retrieval
Examines a variety of data analysis techniques, including statistical modeling, machine learning, and data visualization
Taught by Alex Aklson and Rav Ahuja, who have extensive experience in data analysis and management
Builds a strong foundation for learners interested in pursuing careers in data science, data analytics, and related fields
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