Python: обработка и анализ данных и ИИ from Coursera

Этот курс для начинающих поможет на начальных этапах изучения Python для обработки и анализа данных, а также программирования в целом. Python — один из самых популярных языков программирования в мире, и сегодня очень востребованы специалисты, умеющие применять основы Python для создания бизнес-решений в различных сферах. Представленный курс позволит за считанные часы научиться программировать на Python с нуля! Вы ознакомитесь с основами Python, в том числе структурами и анализом данных, выполните практические упражнения в рамках модулей курса и создадите финальный проект для проверки полученных навыков. По завершении курса вы будете уверенно создавать базовые программы, работать с данными и решать реальные задачи с помощью Python. Вы получите существенную базу для дальнейшего практического изучения языка и необходимые навыки для профессионального и карьерного роста. Этот курс входит в ряд программ аттестации на получение специализированных и профессиональных сертификатов. Когда вы завершите этот курс, ваши результаты будут учитываться при обучении в следующих программах: \Прикладной ИИ (профессиональная сертификация IBM) Прикладной анализ и обработка данных (специализация) Обработка и анализ данных (профессиональная сертификация IBM) После завершения любой из перечисленных выше программ, кроме сертификата о завершении специального курса Coursera, вы также получите цифровой значок IBM, подтверждающий вашу квалификацию в соответствующей сфере.

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Teaches the basics of Python, aimed at beginners

Helps learners develop skills in data structures and data analysis using Python

Provides hands-on practice through module exercises and a final project to solidify learning

Builds a foundation for further Python learning, career growth, and practical applications in various fields

Contributes towards specialized and professional certifications in Artificial Intelligence and Data Analysis

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python: обработка и анализ данных и ИИ with these activities:

Python Tutorial

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Get a quick refresher on the basics of Python programming.

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Review the official Python tutorial.

Python Crash Course

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Get a quick overview of Python programming.

View Python Crash Course, 3rd Edition: A Hands-On,... on Amazon

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Read through the book.

Example Driven Coding

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Practice coding by following along with examples and exercises.

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Work through the example Jupyter notebooks.

Five other activities

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Guided Tutorial Projects

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Develop Python coding skills through guided tutorial projects.

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Complete the provided tutorial projects.

Peer Coding Review

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Improve your code quality by getting feedback from your peers.

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Exchange code with a peer for review.
Provide constructive feedback on your peer's code.

Python Workshop

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Attend a Python workshop to learn new skills and techniques.

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Find and register for a Python workshop.
Attend the workshop and actively participate.

Python Coding Project

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Demonstrate your understanding by creating your own Python coding project.

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Choose a small project to implement in Python.
Write and test your code.

Python Coding Competition

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Challenge yourself by participating in a Python coding competition.

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Find and register for a Python coding competition.
Prepare for the competition by practicing and improving your skills.
Participate in the competition and give your best effort.

Career center

Learners who complete Python: обработка и анализ данных и ИИ will develop knowledge and skills that may be useful to these careers:

Data Analyst

A Data Analyst collects, cleans, and analyzes data to identify trends, patterns, and insights that can help businesses make informed decisions. This course provides a comprehensive introduction to Python programming, data analysis, and data visualization techniques, all of which are essential skills for Data Analysts. By taking this course, you can gain the skills and knowledge needed to succeed in the field of Data Analytics.

See salaries and explore the career path for Data Analyst

Data Scientist

A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course provides a solid foundation in Python programming, data structures, and data analysis techniques, which are essential skills for Data Scientists. Taking this course can help you build a strong foundation for a successful career in Data Science.

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Machine Learning Engineer

A Machine Learning Engineer designs, develops, and deploys machine learning models to solve real-world problems. This course provides a solid foundation in Python programming, machine learning algorithms, and deep learning techniques, which are essential skills for Machine Learning Engineers. Taking this course can help you build the skills and knowledge needed to succeed in the field of Machine Learning Engineering.

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Business Analyst

A Business Analyst uses data and analytical techniques to identify and solve business problems. This course provides a comprehensive introduction to Python programming, data analysis, and data visualization techniques, all of which are essential skills for Business Analysts. Taking this course can help you develop the analytical skills and problem-solving abilities needed to succeed in the field of Business Analysis.

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Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course provides a solid foundation in Python programming, data structures, and algorithms, which are essential skills for Software Engineers. Taking this course can help you build the technical skills and knowledge needed to succeed in the field of Software Engineering.

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Research Analyst

A Research Analyst conducts research and analysis to provide insights and recommendations to businesses and organizations. This course provides a comprehensive introduction to Python programming, data analysis, and data visualization techniques, all of which are essential skills for Research Analysts. Taking this course can help you develop the analytical skills and problem-solving abilities needed to succeed in the field of Research Analysis.

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Statistician

A Statistician collects, analyzes, interprets, and presents data to provide insights and make predictions. This course provides a comprehensive introduction to Python programming, data analysis, and machine learning techniques, all of which are essential skills for Statisticians. Taking this course can help you develop the analytical skills and problem-solving abilities needed to succeed in the field of Statistics.

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Product Manager

A Product Manager is responsible for the development and management of products and services. This course provides a comprehensive overview of Python programming, data analysis, and machine learning techniques, all of which are becoming increasingly important in the field of Product Management. Taking this course can help you gain the skills and knowledge needed to succeed in the field of Product Management.

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Data Engineer

A Data Engineer designs, builds, and maintains data pipelines and data infrastructure. This course provides a solid foundation in Python programming, data structures, and distributed systems, which are essential skills for Data Engineers. Taking this course can help you build the skills and knowledge needed to succeed in the field of Data Engineering.

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Data Visualization Specialist

A Data Visualization Specialist designs and creates data visualizations to communicate insights and trends from data. This course provides a comprehensive introduction to Python programming, data analysis, and data visualization techniques, all of which are essential skills for Data Visualization Specialists. Taking this course can help you develop the skills and knowledge needed to succeed in the field of Data Visualization.

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Quantitative Analyst

A Quantitative Analyst uses mathematical and statistical models to analyze financial data and make investment decisions. This course provides a comprehensive introduction to Python programming, data analysis, and machine learning techniques, all of which are essential skills for Quantitative Analysts. Taking this course can help you develop the analytical skills and problem-solving abilities needed to succeed in the field of Quantitative Analysis.

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IT Consultant

An IT Consultant provides advice and guidance to businesses and organizations on how to use technology to achieve their goals. This course provides a comprehensive overview of Python programming, data analysis, and machine learning techniques, all of which are becoming increasingly important in the field of IT Consulting. Taking this course can help you gain the skills and knowledge needed to succeed in the field of IT Consulting.

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Database Administrator

A Database Administrator designs, builds, and maintains databases to store and manage data. This course provides a solid foundation in Python programming, data structures, and distributed systems, which are essential skills for Database Administrators. Taking this course can help you build the skills and knowledge needed to succeed in the field of Database Administration.

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User Experience Designer

A User Experience Designer designs and evaluates user interfaces to make them easy to use and enjoyable. This course provides a comprehensive overview of Python programming, data analysis, and machine learning techniques, all of which are becoming increasingly important in the field of User Experience Design. Taking this course can help you gain the skills and knowledge needed to succeed in the field of User Experience Design.

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Software Tester

A Software Tester designs and executes tests to verify that software meets requirements and performs as expected. This course provides a solid foundation in Python programming, data structures, and algorithms, which are essential skills for Software Testers. Taking this course can help you build the technical skills and knowledge needed to succeed in the field of Software Testing.

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