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)
Dużo cierpliwości
Mateusz - WestWind Energy Polska Sp. z o.o.
Course - ArcGIS for Spatial Analysis
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
Profesional dan sangat praktis, berguna dalam pekerjaan sehari-hari
Jozefin Rékasi - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Machine Translated
Ini mencakup bidang yang saya katakan saya minati sebelum kursus: hubungan data, menggunakan skrip python. Menghubungkan ke database akan dibahas dalam modul lanjutan.
Cristian Tudose - SC Automobile Dacia SA
Course - Introduction to Spotfire
Machine Translated
I genuinely enjoyed the lots of labs and practices.