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

  • 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

  • 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

  • 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

  • Birla Institute of Technology & Science, Pilani

    From the course: Introduction to Bioinformatics·Lesson: Interpretation and Visualisation

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    444 views

    Micro Lesson · 5 minutes

  • Birla Institute of Technology & Science, Pilani

    From the course: Introduction to Bioinformatics·Lesson: Gene Ontology and Pathway Enrichment

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    452 views

    Micro Lesson · 6 minutes

  • 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

  • Microsoft

    Skills you'll gain: Logistic Regression, Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Data Analysis, Regression Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Statistical Programming, R Programming, R (Software), Predictive Modeling, Analytics, Technical Communication, Analysis

    Beginner · Course · 1 - 3 Months

  • Johns Hopkins University

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2 stars, 4.5K reviews, Mixed, Course, 1 - 4 Weeks