Certified Analytics Professional: Methodology Selection
This course covers problem-solving approaches in data analysis, including descriptive, predictive, and prescriptive analysis. It also covers software tools selection, testing approaches, and approach selection, with tips and best practices.
What you'll learn
Knowing how to analyze data and make informed decisions is crucial in many fields today. Whether in business, healthcare, social science, or any other field, the ability to collect and analyze data is a vital skill for success.
In this course, Certified Analytics Professional: Methodology Selection, you’ll gain the ability to analyze data and make informed decisions.
First, you’ll explore the techniques and types of descriptive analysis, including data visualization and the advantages of descriptive analysis.
Next, you’ll discover the types and advantages of predictive analysis.
Finally, you’ll learn how to choose appropriate types of prescriptive analysis, as well as how to select the best software tools and testing, and approach selections for data analysis.
When you’re finished with this course, you’ll have the skills and knowledge of methodology selection needed to analyze data and make informed decisions in your field.
Table of contents
About the author
Hello, I'm Ali. I have a PhD in computer science. I am currently conducting research on natural language processing (NLP) using Python and machine learning. I have a YouTube channel, named Flutterware, that shares tutorial on Google's Flutter platform that is used to develop mobile applications for Android and iOS with one base code. I love research and exploring knowledge. I think acquiring knowledge without sharing it is useless. I hope that you find my classes helpful.