Data Analysis with SQL, Python, and Tableau Training Course
Python stands as the leading programming language for data science and machine learning. SQL is the most widely adopted tool for database management, while Tableau serves as a top-tier business intelligence and data visualization platform. 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) is designed for data scientists and developers aiming to leverage and combine SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks.
Upon completing this training, participants will be able to:
- Establish the required environment for conducting data analysis using SQL, Python, and Tableau.
- Grasp core software integration concepts (data, servers, clients, APIs, endpoints, etc.).
- Refresh their knowledge of Python and SQL fundamentals.
- Apply data pre-processing techniques in Python.
- Master the connection between Python and SQL for data analysis.
- Design insightful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Introduction
- The 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
- Familiarity with SQL concepts and Tableau
- Programming experience in Python
Audience
- Data scientists
- Developers
Open Training Courses require 5+ participants.
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Testimonials (2)
Small group, in-person for 3 days,
Annina - Ricardo AG
Course - SQL: Basics to Intermediate
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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