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Plan Szkolenia
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
Wymagania
- Hands-on experience with data analysis (e.g., using Excel)
- General understanding of database concepts
- No programming experience required
Audience
- Data analysts
35 godzin
Opinie uczestników (5)
Trener dostosował materiały i treści do tego, co uważał za najlepsze dla nas i udało mu się. Jakość szkolenia była doskonała.
Jorge Sanchez Hernandez - CSMART - Carnival
Szkolenie - QGIS for Geographic Information System
Przetłumaczone przez sztuczną inteligencję
Szkolenie prowadzone w sposób przykuwający uwagę
Karol - Centralny Ośrodek Informatyki
Professional and very practical, usuefull in a daily work
Jozefin Rékasi - SC Automobile Dacia SA
Szkolenie - 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
Szkolenie - Introduction to Spotfire
I genuinely enjoyed the lots of labs and practices.
