Codecademy
Free Trial Available
English
Certificate Available
15 hours worth of material
selfpaced
Overview
Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
### Why Learn Statistics?
Statistics is a tool used to communicate our understanding of data. It helps us understand the world better, make assertions, and communicate our confidence in the statements we are making.
### Take-Away Skills
This course focuses on a number of different descriptive statistics including the mean, median, mode, standard deviation, and variance of different datasets. Not only will you learn how to calculate these statistics, but you will learn how to interpret them. By getting an understanding of what these statistics represent, you will be able to better describe your own datasets.
### Why Learn Statistics?
Statistics is a tool used to communicate our understanding of data. It helps us understand the world better, make assertions, and communicate our confidence in the statements we are making.
### Take-Away Skills
This course focuses on a number of different descriptive statistics including the mean, median, mode, standard deviation, and variance of different datasets. Not only will you learn how to calculate these statistics, but you will learn how to interpret them. By getting an understanding of what these statistics represent, you will be able to better describe your own datasets.
Syllabus
- Mean, Median, and Mode: Learn to use Python packages or manually calculate the mean, median, and mode of real-world datasets.
- Mean
- Median
- Mode
- Central Tendency for Housing Data
- Mean, Median, and Mode
- Variance and Standard Deviation: In this module, you will learn how to quantify the spread of the dataset by calculating the variance and standard deviation.
- Variance
- Standard Deviation
- Variance and Standard Deviation
- Variance in Weather
- Histograms: In this lesson, learn how to visualize and interpret a dataset using a histogram.
- Histograms
- Traveling to Acadia
- Histograms
- Describe a Histogram: Learn how to describe a statistical distribution by considering its center, shape, spread, and outliers.
- Describe a Histogram
- Describe Exam Grade Distributions
- Describe a Histogram
- Quartiles, Quantiles, and Interquartile Range: In this course, you will learn how to calculate three important descriptive statistics that describe the spread of the data.
- Quartiles
- Quantiles
- Interquartile Range
- Quantiles, Quartiles, and IQR
- Life Expectancy By Country
- Boxplots: Learn how to create and interpret boxplots using a variety of different datasets
- Boxplots
- Boxplots
- Healthcare in Different States
