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"

  • University of Leeds

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

    4.8 stars, 10 reviews, Intermediate, 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

  • 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

  • Macquarie University

    From the course: Business intelligence and data analytics: Generate insights·Lesson: Weekly outline

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    3.8k views

    Micro Lesson · 2 minutes

  • University of Colorado Boulder

    Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis, Statistical Methods

    4.5 stars, 43 reviews, Beginner, Course, 1 - 3 Months

  • University of Colorado Boulder

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, R (Software), Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Statistical Software, Microsoft Excel, Statistics, Data Analysis

    4.6 stars, 52 reviews, Beginner, Specialization, 3 - 6 Months

  • O.P. Jindal Global University

    From the course: Statistical Methods for Psychological Research·Lesson: Untitled Lesson

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    8 views

    Micro Lesson · 7 minutes

  • Erasmus University Rotterdam

    Skills you'll gain: Econometrics, Data Collection, Regression Analysis, Statistical Methods, Survey Creation, Data Compilation, Economics, Quantitative Research, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Modeling, Correlation Analysis, Probability Distribution

    4.1 stars, 151 reviews, Beginner, Course, 1 - 3 Months

  • Duke University

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

    4.8 stars, 2.8K reviews, Beginner, Course, 1 - 3 Months

  • University of Colorado Boulder

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Probability & Statistics, Statistical Modeling, Statistical Methods, Descriptive Analytics, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Predictive Modeling, Data Wrangling

    4.9 stars, 8 reviews, Intermediate, Course, 1 - 3 Months

  • Wesleyan University

    Skills you'll gain: Regression Analysis, Data Storytelling, Logistic Regression, Classification And Regression Tree (CART), Statistical Hypothesis Testing, Descriptive Statistics, Data Presentation, Statistical Analysis, Statistical Software, Correlation Analysis, Exploratory Data Analysis, Data Manipulation, Decision Tree Learning, Data Visualization Software, Data Management, Statistical Machine Learning, Data Analysis, Statistical Methods, Machine Learning, Statistics

    4.4 stars, 1.4K reviews, Beginner, Specialization, 3 - 6 Months

  • University of Colorado Boulder

    From the course: Resampling, Selection and Splines·Lesson: Course Introduction

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    506 views

    Micro Lesson · 2 minutes