Overview
In this hands-on AMA-2006: Advanced Tools and Techniques for Data Analysis course, you will cover a variety of analytics tools, such as histograms, ANOVA analysis, A/B testing, Pareto analysis, clustering, box plots, scatter diagrams, partitioning, unstructured text analysis, and multivariate regression analysis. Best of all, no background in statistics or programming is required.
As long as you have a basic understanding of spreadsheets, you will learn how to manipulate complex data sets so you can gain insights that are not possible with common business intelligence techniques.
Skills Covered
- Go above and beyond standard business intelligence analysis techniques
- Get answers to complex data analysis questions without becoming a statistician
- Learn which data analysis technique to use for various business problems
- Extract the most meaningful results from large and small data sets and multiple data types
- Become familiar with basic text analysis tools and gain insights from unstructured text data
- Use advanced analysis functions in Excel and open source tools
- Build on your basic understanding of spreadsheets to access powerful analytic techniques
- Improve your business efficiency and effectiveness
Who Should Attend
Business professionals looking for data analysis tools to solve complex problems such as customer churn, statistically valid web-page optimization, and social media/online customer feedback analysis.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
