Методология научных исследований и котики from Coursera

Курс “Методология научных исследований и котики” знакомит с основами исследовательской деятельности. В нем описан полный цикл проведения научных исследований - от постановки научной проблемы до публикации статьи. Вы узнаете, чем отличаются научные исследования от ненаучных и познакомитесь с базовыми типами исследований и основами статистической обработки данных. Курс позволит вам научиться: a. Ставить научную проблему и гипотезу, б. Искать и анализировать статьи в научных базах данных, в. Проектировать дизайн исследования, г. Обрабатывать и грамотно интерпретировать полученные данные, д. Описывать результаты исследования в статьях и научных докладах. Помимо этого, в курсе показаны некоторые тонкости и практические приемы, значительно облегчающие работу исследователю. Каждая глава курса подкрепляется забавными и полезными практическими заданиями, а итоговым заданием курса будет написание почти настоящей научной статьи. Главная фишка курса - все основные идеи объясняются на котиках. Поэтому курс получился доступным для понимания максимально широкой аудитории. Курс будет полезен студентам естественно-научных и социо-гуманитарных специальностей (биологам, социологам, психологам, медикам), начинающим исследователям и аналитикам .

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Introduces foundational scientific research principles and their practical application, especially valuable for beginners

Course material is explained using cats, making advanced topics accessible to a wide audience

Provides a comprehensive study of scientific research methods, covering the entire process from problem statement to publication

Teaches essential research skills, such as hypothesis development, data analysis, and scientific writing

Offers practical assignments and exercises to reinforce learning and prepare learners for real-world research

Useful for both academic and industry settings, as scientific research is fundamental to various fields

Reviews summary

Fun cat-themed research methods

This course provides an entertaining and accessible introduction to scientific research methods for beginners. It features lively cat-themed explanations to help learners grasp complex concepts easily. While one reviewer found the course unsuitable for those with a technical background, most highly recommend it for budding researchers and even experienced scientists seeking a refresher. The course covers the full research cycle, from problem formulation to data analysis and publication. It emphasizes practical applications and includes a hands-on project to help learners apply their knowledge.

Emphasizes real-world applications and hands-on projects.

"Каждая глава курса подкрепляется забавными и полезными практическими заданиями, а итоговым заданием курса будет написание почти настоящей научной статьи."

Provides a solid grounding in research methods.

"Отличный вводный курс по методологии количественных исследований, подойдёт также и для людей с опытом проведения самостоятельных исследований, чтобы систематизировать базу."

Clear and easy-to-understand explanations for novices.

"Отличный курс для начинающих!"

"Просто супер объясение для новичков "

"доступно и очень полезно. Будет полезен всем молодым ученым и даже студентам вузов."

Unique cat-themed approach makes learning enjoyable.

"Котики "красной линией" проходят по всему курсу, что значимо помогает при изучении."

Relies on Microsoft Excel for data analysis instead of specialized software.

"Жаль, что для вычисления корреляционных коэффициентов используется Microsoft Excel, а не Python или R."

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 Методология научных исследований и котики with these activities:

Find a Research Mentor

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Having a research mentor can provide guidance and support throughout your research journey.

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Identify potential mentors based on their research interests and expertise.
Contact potential mentors and express your interest in working with them.

Review Hypothesis Testing

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Reviewing how to effectively perform and analyze a hypothesis test helps you to understand the core concepts necessary to complete research in this course.

Browse courses on Hypothesis Testing

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Re-familiarize yourself with the concepts of a null hypothesis and alternative hypothesis.
Practice calculating the p-value for a given set of data.

Tutorials on Statistical Software

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Becoming proficient in statistical software is essential for data analysis in this course. Following tutorials will equip you with the necessary skills.

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Watch tutorials on how to use the software.
Complete practice exercises in the software.

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Practice Designing a Research Study

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Designing a research study is a fundamental skill required in this course. Completing practice problems will help you to develop the necessary skills.

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Identify the research question and objectives.
Determine the appropriate research design and data collection method.
Develop a plan for data analysis.

Review 'Writing Scientific Research Articles'

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This book provides guidance on the structure and elements of a scientific research paper. This will be helpful for completing the summative assessment which is an original research article.

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Read chapter 2: 'Planning and Preparation'
Read chapter 5: 'Results'

Peer Review of Research Proposals

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Providing peer feedback on research proposals will help you to develop a critical eye and improve your own research skills.

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Read and evaluate your peer's research proposal.
Provide constructive feedback on the proposal.

Data Analysis Project

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Conducting a data analysis project will provide you with hands-on experience and reinforce the concepts covered in the course.

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Choose a dataset that is relevant to your research interests.
Clean and prepare the data for analysis.
Perform statistical analyses on the data.
Interpret the results of the analysis and draw conclusions.

Contribute to an Open-Source Research Project

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Joining an open-source research project provides you with valuable experience working on real-world research problems.

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Find an open-source research project that aligns with your interests.
Contact the project leader and express your interest in contributing.
Complete a task or make a contribution to the project.

Career center

Learners who complete Методология научных исследований и котики will develop knowledge and skills that may be useful to these careers:

Statistician

Statisticians collect, analyze, interpret, and present data. This course's coverage of statistical data analysis may help build a foundation for this career. Particularly relevant is the information on how to design statistical studies.

See salaries and explore the career path for Statistician

Science Communicator

Science Communicators interpret and disseminate scientific information to the public. This course's coverage of how to write scientific articles may help build a foundation for this career. Of particular relevance is the information on how to communicate scientific findings.

See salaries and explore the career path for Science Communicator

Data Scientist

Data Scientists use data to solve real-world problems. This course's coverage of statistical data analysis may help build a foundation for this career. Particularly relevant is the information on machine learning and artificial intelligence.

See salaries and explore the career path for Data Scientist

Medical Researcher

Medical Researchers investigate the causes and treatments of diseases. This course's coverage of scientific research methods may be useful for those interested in this career. Of particular relevance is the information on how to design research studies.

See salaries and explore the career path for Medical Researcher

Science Editor

Science Editors review and edit scientific manuscripts for publication. This course's coverage of scientific writing may help build a foundation for this career. Especially relevant is the information on how to critique scientific writing.

See salaries and explore the career path for Science Editor

Market Research Analyst

Market Research Analysts conduct research to understand consumer behavior and market trends. This course's coverage of scientific research methods may be useful. Particularly relevant is the information on how to design market research studies.

See salaries and explore the career path for Market Research Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to improve operational efficiency. This course's coverage of scientific research methods may be useful. Of particular relevance is the information on how to analyze data and make recommendations.

See salaries and explore the career path for Operations Research Analyst

Clinical Research Coordinator

Clinical Research Coordinators assist in the design, conduct, and analysis of clinical research studies. This course's coverage of scientific research methods may be useful. Particularly relevant is the information on how to manage clinical research studies.

See salaries and explore the career path for Clinical Research Coordinator

Actuary

Actuaries analyze data to assess risk and uncertainty. This course's coverage of statistical data analysis may help build a foundation for this career. Of particular relevance is the information on how to model risk.

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Science Teacher

Science Teachers educate students in science subjects such as biology, chemistry, and physics. This course's coverage of scientific research methods may be helpful for those interested in this career. Particularly relevant is the information on how to communicate scientific concepts.

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Policy Analyst

Policy Analysts research and analyze public policy issues. This course's coverage of scientific research methods may help build a foundation for this career. Of particular relevance is the information on how to evaluate public policies.

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Technical Writer

Technical Writers create instruction manuals, technical reports, and other documents that explain complex technical information. This course's coverage of scientific writing may help build a foundation for this career. Especially relevant is the information on how to write clear and concise technical documents.

See salaries and explore the career path for Technical Writer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course's coverage of statistical data analysis may be useful. Especially relevant is the information on how to interpret data.

See salaries and explore the career path for Data Analyst

Science Writer

Science Writers communicate complex scientific information to the public. This course's discussion on how to write scientific articles may be useful for those interested in this career. Of particular relevance is the information on how to structure a scientific paper.

See salaries and explore the career path for Science Writer

Research Scientist

Research Scientists design, conduct, and analyze scientific research in a variety of fields, including biology, chemistry, physics, and social sciences. This course's emphasis on scientific research methods may help build a foundation for this career. Particularly relevant is the information provided on how to analyze data.

See salaries and explore the career path for Research Scientist

Методология научных исследований и котики

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Fun cat-themed research methods

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