Data Analysis with SQL, Python, and Tableau Training Course
Python stands as the most widely used programming language for data science and machine learning. SQL serves as the predominant tool for database management, while Tableau leads the field as a business intelligence and data visualization platform. Integrating SQL, Python, and Tableau delivers a robust, end-to-end solution for data analysis.
This instructor-led, live training—available either online or onsite—is designed for data scientists and developers who want to leverage and combine SQL, Python, and Tableau to conduct complex data analysis, processing, and visualization.
Upon completion of this training, participants will be able to:
- Configure the necessary environment to conduct data analysis using SQL, Python, and Tableau.
- Comprehend the core concepts of software integration, including data, servers, clients, APIs, endpoints, and more.
- Review the foundational principles of Python and SQL.
- Apply data pre-processing techniques in Python.
- Establish connections between Python and SQL for effective data analysis.
- Generate 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 setting.
Customization Options
- To arrange tailored training for this course, please reach out to us.
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
- Understanding of SQL concepts and Tableau
- Experience with Python programming
Target 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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