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"

  • Skills you'll gain: A/B Testing, Sampling (Statistics), Data Analysis, Analytics, Statistics, Descriptive Statistics, Statistical Analysis, Statistical Hypothesis Testing, Probability & Statistics, Advanced Analytics, Probability Distribution, Data Science, Statistical Inference, Statistical Programming, Statistical Methods, Probability, Python Programming

  • From the course: The Power of Statistics·Lesson: Get started with the course

  • Skills you'll gain: Data Visualization, Data Ethics, Dashboard Creation, Data Presentation, Performance Measurement, Data Literacy, Data Analysis, Business Intelligence Software, Tableau Software, Data Integrity, Stakeholder Engagement, Data Storytelling, Analysis, Prompt Patterns, Statistical Methods, Analytics, Stakeholder Communications, Visual Design, Spreadsheet Software, Verbal Communication Skills

  • Skills you'll gain: Interactive Data Visualization, Statistics, Descriptive Statistics, Logistic Regression, Decision Tree Learning, Advanced Analytics, Probability & Statistics, Probability Distribution, Statistical Inference, Applied Machine Learning, Data-Driven Decision-Making, Supervised Learning, Workflow Management, Statistical Methods, Statistical Modeling, Data Cleansing, Data Structures, Interviewing Skills, NumPy, Professional Development

  • From the course: The Power of Statistics·Lesson: Descriptive statistics

  • From the course: The Power of Statistics·Lesson: Get started with the course

  • From the course: The Power of Statistics·Lesson: Apply your skills to a workplace scenario

  • From the course: The Power of Statistics·Lesson: End-of-course portfolio project wrap-up

  • From the course: Data Analysis with R Programming·Lesson: Take a closer look at the data

  • From the course: The Power of Statistics·Lesson: Introduction to confidence intervals

  • Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Analytics, Statistical Analysis, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Methods, Analytical Skills, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning

  • From the course: The Power of Statistics·Lesson: Apply your skills to a workplace scenario