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.

Filter by

Subject
Required

Language
Required

The language used throughout the course, in both instruction and assessments.

Learning Product
Required

Build job-relevant skills in under 2 hours with hands-on tutorials.

Level
Required

Duration
Required

Subtitles
Required

Educator
Required

Hands-on Learning
Required

Results for "Statistical Methods"

  • Skills you'll gain: Risk Analysis, Portfolio Risk, Google Sheets, Financial Analysis, Risk Management, Quantitative Research, Spreadsheet Software, Statistical Analysis, Statistical Methods, Statistics, Market Data, Probability & Statistics, Descriptive Analytics

  • Skills you'll gain: Model Evaluation, Forecasting, Trend Analysis, Statistical Visualization, Spreadsheet Software, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Analysis, Plot (Graphics), Predictive Modeling, Data-Driven Decision-Making, Data Analysis

  • Skills you'll gain: Google Sheets, Exploratory Data Analysis, Statistical Analysis, Data Analysis, Data Presentation, Statistical Methods, Spreadsheet Software, Data Visualization, Graphing, Data Science, Data Manipulation