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Course Outline
Introduction
Exploratory Analysis as a Precursor to Data Analysis
Preparing the Development Environment
Installing Python or R
Exploratory Techniques for Summarizing Data
Tools and Techniques for Constructing Data Graphics
Exploring Categorical Data
Exploring Numerical Data
Describing Data
Using Multivariate Statistical Techniques to Visualize Data.
Preparing for Formal Modeling
Summary and Conclusion
Requirements
- Python or R programming experience.
Audience
- Developers
- Data scientists
- Data analysts
7 Hours
Testimonials (5)
The trainer adapted the materials and contents to what he thought would be best for us and he succeeded. The quality of the training was excellent.
Jorge Sanchez Hernandez - CSMART - Carnival
Course - QGIS for Geographic Information System
A lot of patience
Mateusz - WestWind Energy Polska Sp. z o.o.
Machine Translated
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
It covered the areas i said i was interested in before the course: data relationships, using python script. Connecting to databases will be covered in the advanced module.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
I genuinely enjoyed the lots of labs and practices.
