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, 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

  • EDUCBA

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Data Visualization, Descriptive Statistics, Statistical Analysis, Statistical Software, Plot (Graphics), Statistics, Sampling (Statistics), Statistical Visualization, Process Analysis, Probability & Statistics, Probability Distribution, Statistical Modeling, Data Analysis, Statistical Methods, Performance Analysis, Exploratory Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Johns Hopkins University

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Probability Distribution, Data Analysis, Statistical Software, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, Correlation Analysis, R Programming

    Intermediate · Course · 1 - 3 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

  • 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

  • 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