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    Results for "research methods"

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Implementing Supply Chain Analytics

      Skills you'll gain: Descriptive Analytics, Supply Chain, Supply Chain Management, Supply Chain Systems, Supply Chain Planning, Predictive Analytics, Forecasting, Inventory Management System, Data-Driven Decision-Making, Business Analytics, Advanced Analytics, Analytics, SQL, Data Presentation, Data Analysis, Technical Communication, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      SAS

      Statistics with SAS

      Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Neuromarketing

      Skills you'll gain: Research Design, Science and Research, Laboratory Research, Research Methodologies, Research, Consumer Behaviour, Influencing, Marketing Psychology, Persuasive Communication, Statistical Analysis, Ethical Standards And Conduct, Data Analysis, Data Collection, Advertising, Behavioral Economics, Experimentation, Neurology, Decision Making, Qualitative Research, Psychology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Tools for Exploratory Data Analysis in Business

      Skills you'll gain: Data Storytelling, Extract, Transform, Load, Business Analytics, Business Intelligence, Exploratory Data Analysis, Data Quality, Analytics, Data Visualization Software, Data Analysis, Power BI, Alteryx, Descriptive Statistics, Statistical Methods, Data Transformation, R Programming

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Correlation Analysis, Ethical Standards And Conduct, Statistics, Predictive Modeling, Innovation, Sustainability Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Regression Modeling in Practice

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Copenhagen

      Personalised Medicine from a Nordic Perspective

      Skills you'll gain: Precision Medicine, Health Informatics, Healthcare Ethics, Patient Education And Counseling, Patient Treatment, Risk Management, Health Policy, Risk Analysis, Data-Driven Decision-Making, Medical Science and Research, Healthcare Industry Knowledge, Health Care, Health Care Procedure and Regulation, Preventative Care, Health Systems, Clinical Research, Pharmaceuticals, Data Ethics, Biostatistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Icahn School of Medicine at Mount Sinai

      Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

      Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Processing, Data Analysis, Metadata Management, Application Programming Interface (API), Restful API

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 3 - 6 Months

    • U

      University of California San Diego

      Code Free Data Science

      Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Statistical Methods, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      211 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Factorial and Fractional Factorial Designs

      Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Assisting Public Sector Decision Makers With Policy Analysis

      Skills you'll gain: Statistical Analysis, Program Evaluation, Policy Analysis, Data Analysis, Statistical Methods, Public Policies, Statistical Hypothesis Testing, Policy Development, Analytical Skills, Forecasting, R Programming, Data-Driven Decision-Making, Research Design, Time Series Analysis and Forecasting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistical Analysis Fundamentals using Excel

      Skills you'll gain: Descriptive Statistics, Regression Analysis, Forecasting, Probability Distribution, Business Analytics, Data Analysis, Statistical Analysis, Statistical Methods, Microsoft Excel, Statistics, Spreadsheet Software, Predictive Analytics, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to research methods

    research methods in psychology
    understanding research methods
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    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…181920…39

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

    • Implementing Supply Chain Analytics: Unilever
    • Statistics with SAS: SAS
    • Neuromarketing: Johns Hopkins University
    • Tools for Exploratory Data Analysis in Business: University of Illinois Urbana-Champaign
    • Business intelligence and data analytics: Generate insights: Macquarie University
    • Regression Modeling in Practice: Wesleyan University
    • Personalised Medicine from a Nordic Perspective: University of Copenhagen
    • Big Data Science with the BD2K-LINCS Data Coordination and Integration Center: Icahn School of Medicine at Mount Sinai
    • Code Free Data Science: University of California San Diego
    • Factorial and Fractional Factorial Designs: Arizona State University

    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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