Advanced Statistics and Data Mining for Data Science
Dive deep into Statistical and Data Mining Techniques
Explore advanced statistical methods and data mining techniques designed for data science professionals. Learn how to apply predictive, segmentation, and association modeling to real-world data analysis projects. Gain practical experience with tools and approaches used in industry settings.
Packt | Feb 2018 | 173 min
What You Will Learn
You will work through practical scenarios that show when and how to use each technique. By setting up analyses, making informed choices, and interpreting real results, you will build a strong foundation in applying advanced statistics and data mining to solve complex problems. The focus stays on hands-on application rather than mathematical proofs.
Key Features
- Apply predictive modeling using statistical, decision tree, and machine learning methods
- Perform cluster analysis and association modeling for deeper data insights
- Interpret and communicate results to support smarter business decisions
Target Audience
Designed for experienced data analysts, developers, and professionals in analytics or business intelligence roles who want to deepen their expertise. If you already understand basic statistics and want to master advanced modeling and data mining for better decision-making, this content is a strong fit for your goals.
