Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
### Why Learn NumPy?
NumPy is a popular Python library that will help you calculate large quantities and common descriptive statistics without writing these functions from scratch. These courses also teach the fundamentals of statistical distributions that can be used to describe datasets.
### Take-Away Skills:
In this set of courses, you will learn the basics of NumPy, a Python module for performing numerical operations on large quantities of data.
You'll learn how to:
- Create arrays, the basic data type in NumPy, and how to perform calculations like addition, subtraction, and selection.
- Calculate descriptive statistics, such as means, medians, and ranges.
- Explore and calculate common statistical distributions, such as the normal and binomial distributions.
- Explore and create histograms, a great way of visualizing large quantities of numerical data.
### Notes on Prerequisites:
There are no prerequisites for this course, but it might be helpful if you are familiar with the first four lessons of Learn Python.
### Why Learn NumPy?
NumPy is a popular Python library that will help you calculate large quantities and common descriptive statistics without writing these functions from scratch. These courses also teach the fundamentals of statistical distributions that can be used to describe datasets.
### Take-Away Skills:
In this set of courses, you will learn the basics of NumPy, a Python module for performing numerical operations on large quantities of data.
You'll learn how to:
- Create arrays, the basic data type in NumPy, and how to perform calculations like addition, subtraction, and selection.
- Calculate descriptive statistics, such as means, medians, and ranges.
- Explore and calculate common statistical distributions, such as the normal and binomial distributions.
- Explore and create histograms, a great way of visualizing large quantities of numerical data.
### Notes on Prerequisites:
There are no prerequisites for this course, but it might be helpful if you are familiar with the first four lessons of Learn Python.
