Математический анализ для работы с данными from Coursera

В онлайн-курсе НИУ ВШЭ представлены основные понятия и методы математического анализа, необходимые для работы с данными. Первая лекция вводная и посвящена обсуждению базовых понятий: функция, ее график, множество уровня и т.д. Следующие пять лекций содержат основы теории пределов и дифференциального исчисления скалярных и векторных функций от одной и нескольких переменных. В частности, в шестой лекции рассматриваются задачи гладкой оптимизации. Последняя, седьмая лекция посвящена интегральному исчислению. Наряду со стандартным материалом в курсе рассмотрены некоторые вычислительные методы и алгоритмы.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches the mathematical analysis concepts that are essential for working with data

Strong fit for learners who want to enter or advance in the field of data science or analytics

Introduces the essential mathematical ideas for working with data and is appropriate for beginners

Reviews summary

Math for data scientists

This math course provides a comprehensive overview of concepts critical to data science, including functions, limits, derivatives, and integrals. The course is well-paced and engaging, though some students may find the extensive homework assignments challenging. Overall, it is a valuable resource for students looking to strengthen their mathematical foundation for data science.

Clear and concise explanations of mathematical concepts.

"Отличный курс. Достаточно большой объем материала и в то же время все доходчиво объясняется."

In-depth coverage of key mathematical concepts for data science.

"Основные понятия и методы математического анализа, необходимые для работы с данными."

Some topics are mentioned but not covered in detail.

"Некоторые темы просто скипнуты. Я понимаю, что они достаточно простые, но зачем тогда было вообще о них упоминать."

Disorganized lecture slides with limited search functionality.

"Слайды, добавленные к неделям сделаны в форме скриншотов, без какого-либо оглавления, без возможности искать что-то в них."

Extensive and rigorous homework assignments.

"Довольно ядреные домашки, столько производных я не считал со времен университетской скамьи."

"Курс очень понравился, каждая тема раскрыта максимально подробно. Единственно, надо набраться терпения при прохождении курса, т.к. на этот курс уйдет достаточно много времени."

Career center

Learners who complete Математический анализ для работы с данными will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use mathematical, statistical, and computational techniques to extract knowledge and insights from data. They work with businesses and organizations to help them make better decisions. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in data science, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as a Data Scientist.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve complex problems. They work with data scientists and other engineers to build and deploy models that can learn from data and make predictions. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in machine learning, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex problems in business and industry. They develop and implement solutions that improve efficiency, productivity, and profitability. This course in Mathematical Analysis for Working with Data can help you build a foundation in the mathematical concepts and methods used in operations research, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. They work with businesses, governments, and other organizations to help them make informed decisions. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in statistics, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as a Statistician.

See salaries and explore the career path for Statistician

Data Analyst

Data Analysts collect, clean, and analyze data to find meaningful patterns and trends. They use their findings to help businesses make better decisions. This course in Mathematical Analysis for Working with Data can help you build a foundation in the mathematical concepts and methods used in data analysis, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as a Data Analyst.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use mathematical and analytical techniques to evaluate and make recommendations on investments. They help businesses and individuals make informed decisions about their financial future. This course in Mathematical Analysis for Working with Data can help you build a foundation in the mathematical concepts and methods used in financial analysis, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with financial data, and this course can help you develop the skills you need to succeed as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze and predict financial markets. They help investment firms make informed decisions about trading and investing. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in quantitative analysis, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with financial data, and this course can help you develop the skills you need to succeed as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess and manage risk. They work with insurance companies, pension funds, and other financial institutions to help them make informed decisions about their financial future. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in actuarial science, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as an Actuary.

See salaries and explore the career path for Actuary

Software Engineer

Software Engineers design, develop, and maintain software applications. They work with businesses and organizations to help them solve problems and achieve their goals. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in software engineering, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as a Software Engineer.

See salaries and explore the career path for Software Engineer

Computer Scientist

Computer Scientists conduct research and develop new computer technologies. They work with businesses, governments, and other organizations to help them solve problems and achieve their goals. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in computer science, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as a Computer Scientist.

See salaries and explore the career path for Computer Scientist

Operations Manager

Operations Managers plan, organize, and oversee the day-to-day operations of a business or organization. They work with employees, customers, and suppliers to ensure that the business runs smoothly and efficiently. This course in Mathematical Analysis for Working with Data can help build a foundation in the mathematical concepts and methods used in operations management, such as functions, limits, derivatives, integrals, and optimization. These concepts are essential for understanding and working with data, and this course can help you develop the skills you need to succeed as an Operations Manager.

See salaries and explore the career path for Operations Manager

Business Analyst

Business Analysts help businesses improve their performance by analyzing their business processes and identifying opportunities for improvement. They work with stakeholders throughout the organization to develop and implement solutions that meet the business's needs. This course in Mathematical Analysis for Working with Data can provide some of the mathematical concepts and methods used in business analysis, such as functions, limits, derivatives, integrals, and optimization. These concepts can be helpful for understanding and working with data, and this course may help you develop some of the skills you need to succeed as a Business Analyst.

See salaries and explore the career path for Business Analyst

Market Research Analyst

Market Research Analysts conduct research to understand the needs and wants of consumers. They work with businesses and organizations to help them develop and market products and services that meet the needs of their target market. This course in Mathematical Analysis for Working with Data can provide some of the mathematical concepts and methods used in market research, such as functions, limits, derivatives, integrals, and optimization. These concepts can be helpful for understanding and working with data, and this course may help you develop some of the skills you need to succeed as a Market Research Analyst.

See salaries and explore the career path for Market Research Analyst

Product Manager

Product Managers are responsible for the development and marketing of a product or service. They work with engineers, designers, and marketers to ensure that the product meets the needs of the target market. This course in Mathematical Analysis for Working with Data can provide some of the mathematical concepts and methods used in product management, such as functions, limits, derivatives, integrals, and optimization. These concepts can be helpful for understanding and working with data, and this course may help you develop some of the skills you need to succeed as a Product Manager.

See salaries and explore the career path for Product Manager

Financial Manager

Financial Managers plan and oversee the financial activities of a business or organization. They work with employees, customers, and suppliers to ensure that the business has the resources it needs to achieve its goals. This course in Mathematical Analysis for Working with Data can provide some of the mathematical concepts and methods used in financial management, such as functions, limits, derivatives, integrals, and optimization. These concepts can be helpful for understanding and working with data, and this course may help you develop some of the skills you need to succeed as a Financial Manager.

See salaries and explore the career path for Financial Manager

Математический анализ для работы с данными

Good to know

Save this course

Reviews summary

Math for data scientists

Activities

Career center

Reading list

Share

Similar courses