Data Analysis with SQL, Python, and Tableau Training Course
Python stands out as the leading programming language for data science and machine learning. SQL remains the go-to tool for database management, while Tableau serves as a premier platform for business intelligence and data visualization. Integrating SQL, Python, and Tableau delivers a robust, end-to-end solution for comprehensive data analysis.
This instructor-led live training, available online or onsite, targets data scientists and developers eager to leverage and integrate SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks.
Upon completing this training, participants will be equipped to:
- Configure the necessary environment for data analysis using SQL, Python, and Tableau.
- Comprehend core software integration concepts, including data flow, servers, clients, APIs, and endpoints.
- Review the fundamental principles of Python and SQL.
- Apply data pre-processing techniques in Python.
- Master the integration of Python and SQL for effective data analysis.
- Design meaningful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Practical implementation in a live-lab setting.
Customization Options
- For customized training arrangements, please contact us to discuss your specific needs.
Course Outline
Introduction
- Fundamentals of Python and SQL.
- Overview of Tableau features and architecture.
Getting Started
- Setting up the development environment.
- Understanding software integration.
Data Pre-processing in Python
- Importing libraries and datasets.
- Handling missing data values.
- Data normalization and formatting.
- Performing regression analysis.
Data Analysis with SQL
- Setting up the database.
- Connecting Python and SQL.
- Querying the database.
- Manipulating data (filtering, sorting, and grouping).
Data Visualization using Tableau
- Design principles for visualization in Tableau.
- Creating dashboards, charts, tables, and mapping.
- Practical examples and use cases.
Troubleshooting
Summary and Next Steps
Requirements
- Basic understanding of SQL concepts and Tableau.
- Experience with Python programming.
Audience
- Data scientists.
- Developers.
Open Training Courses require 5+ participants.
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Testimonials (1)
I liked the pace of the training and the level of interaction. All participants were encouraged to actively partake in discussions around exercise solutions, etc.
Aaron - Computerbits
Course - SQL Advanced level for Analysts
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