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Data Science

10 learners

Introduction to Statistics with SciPy

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.

Python

SciPy

See path

4 lessons

15 practices

1 hour

Exploratory Data Analysis and Visualization

Lessons and practices

Lesson 1: Descriptive Statistics and Probability Distributions with SciPy

Uncover Data Insights with SciPy

Calculating Modes with SciPy

Mastering Normal Distribution Analysis

Lesson 2: Hypothesis Testing with SciPy

Conduct a Hypothesis Test

Comparing Team Working Hours

Enhance Data Independence

Analyzing TV Watching Patterns

Lesson 3: Confidence Intervals and Correlation Using SciPy

Discover Temperature Confidence Intervals

Changing Correlation Dynamics

Confidence Interval for Titanic Ages

Confidence Interval for Petal Length

Lesson 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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