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”..
Why learn this?
Data analysis is both a fascinating topic in itself and a tool that lets you make powerful inferences and understand the world around you. The techniques you will learn will help you accurately characterize data using models and then make inferences and decisions. If you enjoy applying math and analytical thinking to practical problems, this course is for you.
There has also been a large spike in demand for data analysts, so learning analytics can be extremely advantageous from a career perspective as well. Being able to find trends in large datasets will help you know how to make sound decisions in all aspects of your life.
Data and Analysis in the Real World
Real World Analytical Organizations
Getting Started and Charting
Using The Tools
Presenting your data
Reporting Using PowerBI
Who is this data analysis course for?
This course is intended for people with little to no background in data analysis and computer programming. An introductory statistics class and an introductory programming class will both come in handy, but are not necessary. A basic familiarity with calculus and general computer competency is assumed.
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