• Online, Self-Paced
Course Description

NumPy is a Python library used in data science and big data that works with arrays when performing scientific computing with Python. In this Skillsoft Aspire course, you will explore how to initialize and load data into arrays and learn about basic array manipulation operations using NumPy including universal functions, indexing and slicing, array iteration, and array reshaping.

Learning Objectives

Python for Data Science: Introduction to NumPy for Multi-dimentional Data

  • Course Overview
  • identify the applications of NumPy
  • install NumPy and learn how to create basic NumPy arrays
  • create specialized NumPy arrays
  • describe how arrays of different shapes and sizes can be displayed
  • explore the different mathematical operations available when working with arrays
  • work with functions which apply to each element of an array
  • retrieve specific parts of an array using row and column indices
  • describe the options available when iterating over 1-dimensional and multi-dimensional arrays
  • perform reshape operations on arrays to visualize its contents in different ways
  • utilize NumPy to perform basic array manipulation

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Software Development