Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Course Overview
- Tableau platform summary
- Core concepts in Python, R, and SQL
Initial Configuration
- Configuring the development workspace
- Analyzing software interoperability
Data Analysis with Python
- Python fundamentals and coding practices
- Library installation and dataset ingestion
- Data preprocessing techniques
- Data standardization and formatting
- Exploratory data analysis
- Regression methodology
- Model construction and validation
- Data Visualization
Data Analysis with R
- R fundamentals and scripting
- Data preparation workflows
- Data classification and manipulation in R
- Function application
- Data Visualization
Data Analysis with SQL
- Database configuration
- Integrating Python with SQL
- Integrating R with SQL
- SQL aggregation and join operations
- Database querying procedures
- Data manipulation techniques
Data Visualization Using Tableau
- Visualization design principles for government
- Dashboards, charts, and tabular reports
- Geospatial mapping methods
- Regression analysis in R and Tableau
- Advanced analytics integration with R and Tableau
- Operational case studies and applications
Issue Resolution
Course Summary and Future Directions
Requirements
- Practical proficiency in data evaluation utilizing tools such as Microsoft Excel
- Fundamental knowledge of database structures and principles
- Programming skills are not a prerequisite
Target Audience
- Information analysts
35 Hours
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
Equipped with examples