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    Results for "research methods"

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Deep Learning for Object Detection

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Analysis, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Codio

      Data Analysis in R with RStudio & Tidyverse

      Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Analysis with Pandas and Python

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Pivot Tables And Charts, Jupyter, Microsoft Excel, Data Analysis, Data Manipulation, Python Programming, Data Structures, Integrated Development Environments, Development Environment, Software Installation, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Data Processing, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Sampling (Statistics), Big Data, Performance Tuning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of California, Davis

      SQL für Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Data Manipulation, Database Design, Data Transformation, Query Languages, Data Modeling, Databases, Relational Databases, Data Analysis, Descriptive Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Measurement – Turning Concepts into Data

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Data Modeling, Data Validation, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of London

      Doing Economics: Measuring Climate Change

      Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Correlation Analysis, Policy Analysis, Environmental Issue, Scatter Plots, Environmental Science, Economics, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Total Data Quality

      Skills you'll gain: Data Quality, Quantitative Research, Data Validation, Data Integrity, Data Collection, Data Cleansing, Quality Assurance, Data Processing, Data Analysis, Data Access, Statistical Analysis, Sampling (Statistics), Threat Detection, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Specialization · 1 - 3 Months

    • T

      The Hong Kong University of Science and Technology

      Understanding China, 1700-2000: A Data Analytic Approach, Part 2

      Skills you'll gain: Social Sciences, Big Data, Sociology, Demography, Anthropology, Economics, Data Analysis, Analytics, Cultural Diversity, World History, Statistical Analysis, Quantitative Research

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to research methods

    research methods in psychology
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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…252627…39

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

    • Deep Learning for Object Detection: MathWorks
    • Data Analysis in R with RStudio & Tidyverse: Codio
    • Foundations of Data Analysis with Pandas and Python: Packt
    • Launching into Machine Learning 日本語版: Google Cloud
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • SQL für Data Science: University of California, Davis
    • Measurement – Turning Concepts into Data: Johns Hopkins University
    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • Doing Economics: Measuring Climate Change: University of London

    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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