Statistical Methods

Statistical methods are a collection of mathematical computations, formulas, and models used to analyze and interpret data. Coursera's skill catalogue in statistical methods teaches you a broad range of techniques for understanding data, making predictions, and informed decision-making. You'll learn about various statistical methods such as hypothesis testing, regression analysis, probability distributions, and data visualization. You'll also understand the application of these methods in various fields like economics, social sciences, engineering, and more. Whether you're a data scientist, researcher, or a student, you'll gain the skills you need to analyze complex data and make data-driven decisions.

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Results for "Statistical Methods"

  • John Wiley & Sons

    Skills you'll gain: Statistical Methods, Exploratory Data Analysis, Data Quality, Statistics, Data Analysis, Data Science, Statistical Analysis, Probability & Statistics, Data Storage, Data Collection, Data Management, Data Pipelines, Statistical Machine Learning, Data-Driven Decision-Making, Applied Mathematics, Probability Distribution, Machine Learning, Linear Algebra

    Beginner · Course · 1 - 4 Weeks

  • University of Leeds

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software

    4.8 stars, 10 reviews, Intermediate, Course, 1 - 4 Weeks

  • Sage Publications

    Skills you'll gain: SPSS, SPSS (Software), Social Sciences, Political Sciences, Data Entry, Data Literacy, Research, Descriptive Statistics, Research Methodologies, Data Analysis, Science and Research, Statistical Analysis, Statistical Methods, Research Design, Statistical Software, Statistics, Quantitative Research, International Relations, Data Visualization, Statistical Inference

    Beginner · Course · 1 - 4 Weeks

  • O.P. Jindal Global University

    Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data

    Mixed · Course · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations

    Intermediate · Specialization · 3 - 6 Months

  • Sage Publications

    Skills you'll gain: Time Series Analysis and Forecasting, Stata, Logistic Regression, STATA (Software), Quantitative Research, General Science and Research, Regression Analysis, Descriptive Statistics, Forecasting, Exploratory Data Analysis, Data Entry, Descriptive Analytics, Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Analysis, Statistical Programming, Statistical Modeling, Data Import/Export, Data Analysis

    Intermediate · Specialization · 3 - 6 Months

  • University of Amsterdam

    Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming

    4.6 stars, 8K reviews, Beginner, Specialization, 3 - 6 Months

  • Arizona State University

    Skills you'll gain: Statistical Methods, Bayesian Statistics, Statistics, Probability & Statistics, Analytics, Data Storage Technologies, Exploratory Data Analysis, Data Store, Mathematical Software, Data Storage, Data Access, Database Software, Estimation, Machine Learning Methods, Data-Driven Decision-Making, Applied Machine Learning, Supervised Learning, Markov Model, Logistic Regression, Regression Testing

    4.3 stars, 6 reviews, Intermediate, Specialization, 3 - 6 Months

  • Coursera

    Skills you'll gain: Stakeholder Management, Data Storytelling, People Analytics, Risk Mitigation, Workforce Planning, HR Tech, Consulting, Organizational Strategy, Persuasive Communication, Management Reporting, Communication, Data Visualization, Data Analysis, Talent Management, Strategic Thinking, Employee Engagement, Information Technology, Project Management, Empathy, Statistical Methods

    Advanced · Specialization · 3 - 6 Months

  • Ball State University

    Skills you'll gain: Statistical Methods, Probability & Statistics, Probability, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, R (Software), Simulations, Statistical Visualization

    Intermediate · Course · 1 - 3 Months

  • Sage Publications

    Skills you'll gain: Surveys, Survey Creation, Qualitative Research, Research Design, Descriptive Statistics, Statistical Hypothesis Testing, Research Methodologies, Correlation Analysis, Quantitative Research, Experimentation, Scientific Methods, Statistical Methods, Probability & Statistics, Science and Research, Data Analysis, Statistical Analysis, Statistics, Statistical Inference, Research, Psychology

    Beginner · Specialization · 3 - 6 Months

  • Rice University

    Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Methods, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Modeling, Statistical Analysis, Statistical Inference, Excel Formulas, Data Analysis, Presentations, Data Presentation, Sample Size Determination

    4.7 stars, 13K reviews, Beginner, Specialization, 3 - 6 Months