Intro to Data Analysis with Python

Descriptive and Inferential Statistics with Python

Take a deep dive into the fascinating world of statistics using Python with this well-curated course. It focuses on the calculation and practical application of descriptive and inferential statistics using Python's pandas, numpy, and scipy libraries.

Lessons and practices

Analyzing Age Group Dataset with Measures of Centrality

Altering Dataset for Changing Measures of Centrality

Calculating Mean and Median for a New Age Group

Space Camp Age Analysis

Analyzing Class Performance: Range, Variance, and Standard Deviation Calculation in Python

Analyzing Student Performance Scores: Switch to English Marks

Unrevealed Measures of Dispersion

Adding Measures of Dispersion to Student Score Analysis

Calculating Measures of Dispersion for Math Scores

Exploring Quartiles and Interquartile Range of Student Grades

Calculating the Interquartile Range for Math Scores

Fix the Interquartile Range Calculation

Calculating the Interquartile Range of Math Scores

Calculate Median and Interquartile Range of Student Grades

Analyzing Weather Patterns with Scipy

Altering Parameters in the Weather Simulation

Fix the Skewness and Kurtosis Calculation

Compute Skewness and Kurtosis for Weather Data

Analyzing Weather Patterns with Scipy

Analyzing and Visualizing Normal Distribution with Python

Exploring Normal Distribution in a Card Game

Rectifying Normal Distribution Parameters for a Card Game

Generating and Analyzing Uniform Distributions with Python

Simulating and Analyzing Normal Distribution for Heights of Basketball Team Players

Interested in this course? Learn and practice with Cosmo!

Practice is how you turn knowledge into actual skills.