February 2018
Advanced
2h 53m
English
Closed Captioning available in English
Overview
In this 2-hour course, you will explore advanced statistics and data mining techniques relevant to Data Science. You will learn how to apply predictive modeling, cluster analysis, and association modeling using practical examples and SPSS. Master these skills to analyze data effectively and gain actionable insights.
What I will be able to do after this course
- Learn advanced statistical analysis and data mining principles.
- Differentiate and apply predictive modeling, using methodologies like decision trees and machine learning.
- Master the techniques involved in regression analysis and understand its applications.
- Develop skills in clustering methods for segmentation modeling.
- Understand and apply association modeling using approaches like market basket analysis.
Course Instructor(s)
Jesus Salcedo has an extensive background in data science, specializing in statistical modeling and data mining. With years of teaching experience in the domain, he brings a practical and approachable perspective to the subject. His courses emphasize clarity and real-world application, ensuring learners gain useful and actionable skills.
Who is it for?
This course is tailored for data science professionals looking to deepen their knowledge in advanced data analysis techniques. It's ideal for those in roles like data analysts, business intelligence professionals, and statistical consultants. Learners should have basic statistical knowledge and a willingness to expand their data science toolkit.
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