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    Results for "research methods"

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Artificial Neural Networks, Text Mining, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The University of Edinburgh

      Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

      Skills you'll gain: Artificial Intelligence, Agentic systems, Psychology, Anthropology, Human Learning, Human Development, Machine Learning, Science and Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • T

      The University of Hong Kong

      University Teaching

      Skills you'll gain: Instructional Design, Curriculum Development, Lesson Planning, Pedagogy, Teaching, Syllabus Development, Course Development, Instructional Strategies, Student Engagement, Higher Education, Student-Centred Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Data Processing, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Motion Graphics, Linear Algebra, Color Theory, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Deep Learning & Neural Networks with Keras

      Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Network Architecture, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Icahn School of Medicine at Mount Sinai

      Systems Biology and Biotechnology

      Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Mathematical Modeling, Molecular Biology, Data Analysis, Pharmacology, Science and Research, Network Analysis, Analytical Skills, Scientific Methods, Differential Equations, Computational Logic, Experimentation, Biochemistry, Laboratory Experience, Analysis, Biology

      4.4
      Rating, 4.4 out of 5 stars
      ·
      974 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Statistics for Data Science

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling, Sample Size Determination

      4.4
      Rating, 4.4 out of 5 stars
      ·
      762 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      C

      Copenhagen Business School

      Digital Transformation in Financial Services

      Skills you'll gain: FinTech, Technology Strategies, Payment Systems, Financial Services, Digital Transformation, International Finance, Mobile Banking, Banking, Innovation, Financial Regulations, Business Technologies, Business Transformation, Financial Market, Competitive Analysis, Analysis, Financial Regulation, Business Strategy, Business Analysis, Market Dynamics, Business Strategies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Teamwork Skills: Communicating Effectively in Groups

      Skills you'll gain: Conflict Management, Teamwork, Decision Making, Cooperation, Collaboration, Diversity Awareness, Mediation, Interpersonal Communications, Cultural Diversity, Communication, Creativity, Digital Communications, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Caltech

      The Evolving Universe

      Skills you'll gain: Physical Science, Physics, General Science and Research, Mechanics, Systems Of Measurement, Mathematical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      825 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to research methods

    research methods in psychology
    understanding research methods
    qualitative research methods
    qualitative research methods in psychology
    user research methods and practices
    qualitative research methods: capturing rich insights
    quantitative research methods: tools for data analysis
    methods for quantitative research in psychology
    1…383940…357

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

    • Natural Language Processing with Attention Models: DeepLearning.AI
    • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Introduction to Computer Vision and Image Processing: IBM
    • University Teaching: The University of Hong Kong
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Introduction to Deep Learning & Neural Networks with Keras: IBM
    • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Digital Transformation in Financial Services: Copenhagen Business School

    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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