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    Results for "research methods"

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Neuroscience Methods

      Skills you'll gain: Research Design, Science and Research, Laboratory Research, Research Methodologies, Statistical Analysis, Data Analysis, Data Collection, Neurology, Psychology, Image Analysis, Medical Equipment and Technology, Biology, Human Learning, Medical Imaging

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Literacy

      Skills you'll gain: Surveys, Survey Creation, Data Literacy, Data Analysis, Peer Review, Research Design, Statistics, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Research, Probability, Quantitative Research, Statistical Hypothesis Testing, Analytics, Probability Distribution, Analysis, Report Writing, Correlation Analysis, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      250 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Global Disease Masterclass

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Health Disparities, Cardiology, Chronic Diseases, Microbiology, Community Health, Health Systems, Health Policy, Socioeconomics, Preventative Care, Health Care, Health Assessment, Biostatistics, Data Analysis, Policy Analysis, Trend Analysis, Medical Science and Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      316 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computational Social Science Methods

      Skills you'll gain: Social Sciences, Network Analysis, Data Science, Machine Learning, Computational Thinking, Economics, Policy, and Social Studies, Artificial Intelligence, Data Analysis, Simulations, Big Data, Scientific Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      342 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Data Science for Business Innovation

      Skills you'll gain: Data-Driven Decision-Making, Big Data, Data Science, NoSQL, Data Modeling, Data Storage Technologies, Analytics, Business Analytics, Data Mining, Data Analysis, Machine Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART), Descriptive Analytics, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML)

      4.3
      Rating, 4.3 out of 5 stars
      ·
      265 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Observational Methods and Qualitative Data Analysis

      Skills you'll gain: Qualitative Research, Interviewing Skills, Data Analysis, Research Methodologies, Social Sciences, Research, Data Collection, Culture, Psychology, Anthropology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • É

      École Polytechnique

      Wind resources for renewable energies

      Skills you'll gain: Water Resources, Hydraulics, Data Analysis, Real Time Data, Physical Science, Estimation, Spatial Data Analysis, Environment and Resource Management, Mathematical Modeling, Environmental Engineering, Applied Mathematics, Systems Of Measurement, Mechanics

      3.6
      Rating, 3.6 out of 5 stars
      ·
      130 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Programming for Python Data Science: Principles to Practice

      Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Computational Thinking, Predictive Modeling, Data Cleansing, Data Structures, Data Visualization Software, Visualization (Computer Graphics), Debugging, Data Analysis, Object Oriented Programming (OOP), Data Manipulation, Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Statistical Methods, Program Development

      3.8
      Rating, 3.8 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      136 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Grant Writing for Health Researchers

      Skills you'll gain: Concision, Grant Writing, Sample Size Determination, Proposal Writing, Biostatistics, Proposal Development, Writing, Editing, Statistical Analysis, Data Analysis, Clinical Research, Statistical Methods, Medical Science and Research, Literacy, Science and Research, Research Design, Research, Statistical Hypothesis Testing, Communication, Organizational Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Meaningful Marketing Insights

      Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      285 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Fake News Detection with Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      258 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to research methods

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    1…151617…39

    In summary, here are 10 of our most popular research methods courses

    • Neuroscience Methods: Johns Hopkins University
    • Data Literacy: Johns Hopkins University
    • Global Disease Masterclass: Imperial College London
    • Computational Social Science Methods: University of California, Davis
    • Data Science for Business Innovation: EIT Digital
    • Observational Methods and Qualitative Data Analysis: American Psychological Association
    • Wind resources for renewable energies: École Polytechnique
    • Programming for Python Data Science: Principles to Practice: Duke University
    • Machine Learning Capstone: IBM
    • Grant Writing for Health Researchers: University of Colorado System

    Frequently Asked Questions about Research Methods

    Research methods courses on Coursera equip you with essential tools and techniques for conducting scientific research:

    • Understanding of different research designs, including qualitative, quantitative, and mixed methods approaches.
    • Skills in data collection techniques such as surveys, interviews, experiments, and observational studies.
    • Data analysis methods, including statistical analysis and interpretation using software tools like SPSS, R, or Python.
    • Knowledge of ethical considerations in research to ensure integrity and protect participants.
    • Writing and communication skills necessary for crafting clear, concise research proposals, reports, and publications.
    • Project management skills to effectively plan and execute research projects.
    • Critical evaluation skills to assess the validity and reliability of research findings.‎

    Research methods courses on Coursera are designed to meet learners at various levels of expertise:

    • Introductory courses are ideal for learners new to research methods, providing basic concepts and foundational skills.
    • Intermediate courses build upon basic knowledge, offering more in-depth study of specific methodologies and analytical techniques.
    • Advanced courses are tailored for learners with substantial experience in research, focusing on sophisticated techniques and complex research challenges.‎

    Coursera collaborates with academic institutions and industry leaders to offer a range of credentials related to research methods:

    • Professional certificates that can support your development in research skills.
    • Specialized course certificates that document your engagement with specific research methodologies.
    • Degree programs and professional qualifications that are designed to enhance your knowledge and expertise in conducting research.

    These educational options are intended to enhance your understanding and proficiency in research methods, helping you prepare for advanced academic or professional roles.‎

    Skills acquired in research methods courses can open doors to a range of career paths:

    • Research Analyst: Conduct and analyze data to inform business decisions, policy development, or scientific discovery.
    • Academic Researcher: Lead or participate in research projects within university settings.
    • Market Researcher: Design and implement studies to understand market trends and consumer behavior.
    • Program Evaluator: Assess the effectiveness of programs and interventions in public health, education, or social services.
    • Data Scientist: Apply complex analytical techniques to large datasets in various industries. ‎
    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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