Certified Analytics Professional: Methodology Selection
Offered By: Pluralsight
Course Description
Overview
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.
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.
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.
Syllabus
- Course Overview 2mins
- Problem-solving Approaches 3mins
- Descriptive Analysis 17mins
- Predictive Analysis 52mins
- Prescriptive Analysis 30mins
- Tips and Best Practices 7mins
- Conclusion 1min
Taught by
Pluralsight
Related Courses
Social Network AnalysisUniversity of Michigan via Coursera Intro to Algorithms
Udacity Data Analysis
Johns Hopkins University via Coursera Computing for Data Analysis
Johns Hopkins University via Coursera Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX