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    Results for "research methods"

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Foundations of Data Structures and Algorithms

      Skills you'll gain: Theoretical Computer Science, Algorithms, Data Structures, Graph Theory, Operations Research, Public Key Cryptography Standards (PKCS), Computational Thinking, Computer Programming, Computational Logic, Cryptography, Computer Science, Pseudocode, Programming Principles, Applied Mathematics, Advanced Mathematics, Mathematical Theory & Analysis, Tree Maps, Encryption, Network Model, Linear Algebra

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      818 reviews

      Advanced · Specialization · 3 - 6 Months

    • U

      University of Manchester

      Introduction to Molecular Spectroscopy

      Skills you'll gain: Laboratory Experience, Biochemistry, Chemistry, Quantitative Research, Vibrations, Engineering, Scientific, and Technical Instruments, Virtual Reality, Physics, Engineering Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Data Analytics Methods for Marketing

      Skills you'll gain: Marketing Analytics, Marketing Effectiveness, A/B Testing, Target Audience, Marketing Strategies, Marketing, Marketing Planning, Sales Pipelines, Customer Analysis, Marketing Channel, Advertising Campaigns, Regression Analysis, Forecasting, Unsupervised Learning, Key Performance Indicators (KPIs), Return On Investment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      266 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Business Analytics

      Skills you'll gain: Data Storytelling, Marketing Analytics, Data Presentation, Data Visualization, Extract, Transform, Load, Business Analytics, Data Collection, Data Quality, Exploratory Data Analysis, Data Visualization Software, Regression Analysis, Network Analysis, Internal Controls, Business Intelligence, Analytics, Data Processing, Data-Driven Decision-Making, R Programming, Robotic Process Automation, Data Literacy

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Programming in Python

      Skills you'll gain: Object Oriented Programming (OOP), Unit Testing, Test Driven Development (TDD), Programming Principles, Software Testing, Data Structures, Python Programming, Computer Programming, Development Environment, Integrated Development Environments, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Fundamental Neuroscience for Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Experimentation, Research Design, Psychology, Image Analysis, Medical Terminology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Applications and Interventions

      Skills you'll gain: Goal Setting, Emotional Intelligence, Personal Development, Overcoming Obstacles, Empathy, Productivity, Positive Behavior Support, Optimism, Self-Awareness, Self-Motivation, Persistence, Growth Mindedness, Cognitive flexibility, Psychology, Creativity, Curiosity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      569 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      Lund University

      European Business Law

      Skills you'll gain: Intellectual Property, Legal Writing, Labor Law, Arbitration, Environmental Laws, Case Law, Legal Research, Tax Laws, Regulation and Legal Compliance, Law, Regulation, and Compliance, Commercial Laws, Legal Strategy, Business, International Relations, Compliance Management, Business Strategy, European History, Competitive Analysis, Regulatory Compliance, Business Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Product Management: An Introduction

      Skills you'll gain: Product Lifecycle Management, Product Management, Project Management, Product Development, Product Strategy, Portfolio Management, New Product Development, Value Propositions, Product Roadmaps, Stakeholder Management, Market Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      844 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Modeling Risk and Realities

      Skills you'll gain: Risk Modeling, Probability Distribution, Mathematical Modeling, Statistical Modeling, Risk Management, Data Visualization, Predictive Modeling, Data Modeling, Probability & Statistics, Risk Analysis, Simulation and Simulation Software, Forecasting, Data-Driven Decision-Making, Business Analysis, Process Optimization, Microsoft Excel

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · 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…495051…357

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

    • Foundations of Data Structures and Algorithms: University of Colorado Boulder
    • Introduction to Molecular Spectroscopy: University of Manchester
    • Data Analytics Methods for Marketing: Meta
    • Business Analytics: University of Illinois Urbana-Champaign
    • Programming in Python: Meta
    • Fundamental Neuroscience for Neuroimaging: Johns Hopkins University
    • Positive Psychology: Applications and Interventions: University of Pennsylvania
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • European Business Law: Lund University
    • Product Management: An Introduction: IBM

    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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