Applied analytical programming is a course focusing on the tools and techniques used by social scientists, researchers to understand, describe and analyse (quantitative) data. It is an introductory level course, though oriented largely towards those who may have had some previous contact with mathematics or statistics in their undergraduate degrees. The focus will be on learning how to apply practical statistics in a research context (rather than looking at fundamental mathematical foundations of statistical concepts)
Discrete Distribution: Binomial
Continuous Distribution: Normal
Central Limit Theorem
Coding with Variable Types
Using Graphs to Understand Data
Measuring Center and Spread
This course will help you understand data management, data preprocessing, and modeling including linear and logistic regression analysis using programming tools. It covers applications of statistical software for data management and reporting.
Applied analytics is when companies use data, and the insights they can gain from analyzing that data, to enhance their business. Typically, what they're actually enhancing are specific business processes
Data analytics is expected to radically change the way we live and do business in the future. We have already been using analytics in our technology devices for many decisions in our lives.
Skilled data analysts are some of the most sought-after professionals in the world. Because the demand is so strong, and the supply of people who can truly do this job well is so limited, data analysts command huge salaries and excellent perks, even at the entry level.