🔢Introduction to Data Analysis

Data analysis is a crucial skill in today's data-driven world.

Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. According to Shamoo and Resnik (2003) various analytic procedures “provide a way of drawing inductive inferences from data and distinguishing the signal (the phenomenon of interest) from the noise (statistical fluctuations) present in the data”

The basic idea is to use tools and creativity to learn something new from the data and extract value from the data that is being collected.

There are many ways to work with data and utilize the different analytical methods. Some are as simple as using Excel workbooks while others involve some basic or advanced SQL programming.

It is also common to use the Python programming language and its libraries such as pandas and matplotlib and more advanced data analysis may involve statistical methods and machine learning.