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, Data Analysis, Data Science, Statistical Analysis, 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

  • EDUCBA

    Skills you'll gain: Process Mapping, Six Sigma Methodology, Lean Six Sigma, Quality Improvement, Lean Methodologies, Statistical Hypothesis Testing, Quality Management, Process Analysis, Process Improvement, Correlation Analysis, Kaizen Methodology, Data-Driven Decision-Making, Process Optimization, Continuous Improvement Process, Sampling (Statistics), Project Management, Statistical Methods, Data Analysis, Regression Analysis, Kanban Principles

    4.8 stars, 83 reviews, Beginner, Specialization, 1 - 3 Months

  • Packt

    From the course: Foundations of Data Analysis with Pandas and Python·Lesson: Series

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    2k views

    Micro Lesson · 4 minutes

  • SkillsBooster Academy

    From the course: AI-Powered Data Analysis with Microsoft Copilot·Lesson: Untitled Lesson

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    136 views

    Micro Lesson · 4 minutes

  • 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

  • Microsoft

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

    Beginner · Course · 1 - 3 Months

  • IBM

    Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Probability Distribution, Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Statistical Modeling, Descriptive Analytics, Statistical Inference, Correlation Analysis, Probability

    4.5 stars, 470 reviews, Mixed, Course, 1 - 3 Months

  • Genentech

    From the course: Making Data Science Work for Clinical Reporting·Lesson: Lesson 3: Core principles (and tools) for R package development

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    314 views

    Micro Lesson · 12 minutes

  • IBM

    Skills you'll gain: Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Forecasting, Probability Distribution, Data Analysis, Statistical Analysis, Statistical Methods, Analytics, Probability & Statistics, Microsoft Excel, Statistics, Spreadsheet Software, Probability, Model Evaluation

    4.6 stars, 154 reviews, Intermediate, Course, 1 - 3 Months

  • EDUCBA

    Skills you'll gain: Minitab, Process Capability, Statistical Process Controls, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Statistics, Sampling (Statistics), Statistical Visualization, Probability & Statistics, Probability Distribution, Statistical Modeling, Data Analysis, Statistical Methods, Statistical Inference, Regression Analysis

    Beginner · Course · 1 - 4 Weeks

  • Packt

    From the course: Principles of Data Science·Lesson: Lesson 1

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    6 views

    Micro Lesson · 54 seconds

  • Board Infinity

    Skills you'll gain: Portfolio Risk, Regression Analysis, Finance, Statistical Hypothesis Testing, Statistical Modeling, Probability & Statistics, Probability, Statistical Methods, Financial Modeling, Statistical Analysis, Statistics, Statistical Machine Learning, Financial Trading, Correlation Analysis, Simulations, Probability Distribution, Financial Analysis, Descriptive Statistics, Big Data, Estimation

    Beginner · Course · 1 - 3 Months