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.