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CodeSignal

Introduction to Statistics with SciPy

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Overview

This course investigates SciPy's statistics module, introducing participants to statistical functions and methods. It includes topics like descriptive statistics, probability distributions, hypothesis testing, and confidence intervals, providing learners with practical skills to apply statistical analysis in Python.

Syllabus

  • Unit 1: Descriptive Statistics and Probability Distributions with SciPy
    • Uncover Data Insights with SciPy
    • Calculating Modes with SciPy
    • Mastering Normal Distribution Analysis
  • Unit 2: Hypothesis Testing with SciPy
    • Conduct a Hypothesis Test
    • Comparing Team Working Hours
    • Enhance Data Independence
    • Analyzing TV Watching Patterns
  • Unit 3: Confidence Intervals and Correlation Using SciPy
    • Discover Temperature Confidence Intervals
    • Changing Correlation Dynamics
    • Confidence Interval for Titanic Ages
    • Confidence Interval for Petal Length
  • Unit 4: Simple Linear Regression with SciPy
    • Linear Regression Equation Task
    • Exploring Iris with Linear Regression
    • Predict House Prices with Regression
    • Transform Variables for Better Modeling

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