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
Testimonials (5)
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.
Cristian Tudose - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The thing I liked the most about the training was the organization and the location
Hamid Tuama - Ability with Innovation General Contracting (DMCC Branch)
Course - ArcGIS for Spatial Analysis
I genuinely enjoyed the lots of labs and practices.