Practical Statistics: Everyday Data Analysis for Professionals

By the end of this course, you will be able to analyze, summarize, and critique real-world datasets with confidence using fundamental statistical methods. You will learn to draw valid conclusions, detect misleading claims, and support everyday professional decisions with data.

  • Principiante
  • Unas 48,5 horas
  • English
  • 26 módulos
  • 70 lecciones
  • 104 preguntas de cuestionario
Nuevo
Creado por Learnvoro Labs
Empezar el curso

Lo que aprenderás

  • Calculate and interpret measures of central tendency (mean, median, mode) and dispersion (standard deviation, interquartile range) across practical workplace datasets.
  • Construct and evaluate common data visualizations—including histograms, box plots, and scatter plots—to reveal underlying data distributions and outliers.
  • Apply fundamental rules of probability to assess risk and quantify uncertainty in everyday decision-making scenarios.
  • Identify common sampling biases, confounding variables, and fallacies such as conflating correlation with causation in published reports and media.
  • Formulate null and alternative hypotheses and interpret confidence intervals and p-values to make data-supported claims.
  • Perform and interpret simple linear regressions to model relationships between variables and produce data-driven estimates.

Cómo aprenderás

  • Lecciones paso a paso70 lecciones
  • VideoleccionesEscucha mientras aprendes
  • Diagramas visualesIdeas hechas visibles
  • Comprobaciones de conocimientos104 preguntas de cuestionario

Requisitos previos

  • Basic arithmetic including fractions, decimals, and percentages
  • Familiarity with basic spreadsheet operations such as entering data and using simple formulas

Para quién es este curso

  • Working adults and career changers looking to build foundational data literacy and practical analytical skills for modern workplace decision-making.

Contenido de un curso

Cargando lecciones…