Course Outline
Introduction
- Overview of Tableau
- Fundamentals of Python, R, and SQL
Getting Started
- Setting up the development environment
- Understanding software integration
Data Analysis with Python
- Python fundamentals and programming
- Importing libraries and datasets
- Wrangling data
- Data normalization and formatting
- Exploratory data analysis
- Performing regression analysis
- Model development and evaluation
- Visualizing Data
Data Analysis with R
- R fundamentals and programming
- Preparing data
- Classifying and working with data in R
- Using functions
- Visualizing Data
Data Analysis with SQL
- Setting up the database
- Connecting Python and SQL
- Connecting R and SQL
- SQL aggregations and joins
- Querying the database
- Manipulating data
Data Visualization Using Tableau
- Tableau design principles for visualization
- Creating dashboards, charts, and tables
- Mapping techniques
- Regressions in R and Tableau
- Advanced analytics with R and Tableau
- Practical examples and use cases
Troubleshooting
Summary and Next Steps
Requirements
- Hands-on experience with data analysis (e.g., using Excel)
- General understanding of database concepts
- No programming experience required
Audience
- 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
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.