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Statistics for Data Science and Business Analysis

Via Udemy

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Overview

Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis What you'll learn: Understand the fundamentals of statisticsLearn how to work with different types of dataHow to plot different types of dataCalculate the measures of central tendency, asymmetry, and variabilityCalculate correlation and covarianceDistinguish and work with different types of distributionsEstimate confidence intervalsPerform hypothesis testingMake data driven decisionsUnderstand the mechanics of regression analysisCarry out regression analysisUse and understand dummy variablesUnderstand the concepts needed for data science...

Syllabus

  • Introduction
  • Sample or population data?
  • The fundamentals of descriptive statistics
  • Measures of central tendency, asymmetry, and variability
  • Practical example: descriptive statistics
  • Distributions
  • Estimators and estimates
  • Confidence intervals: advanced topics
  • Practical example: inferential statistics
  • Hypothesis testing: Introduction


Statistics for Data Science and Business Analysis
Go to Class

via Udemy

4 hours 52 minutes

Certificate Available

English

On-Demand

Beginner

Instructor

365 Careers

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