Data Analysis with SQL, Python, and Tableau Training Course
Python has emerged as the leading programming language for data science and machine learning. SQL remains the standard tool for database management, while Tableau stands out as a premier platform for business intelligence and data visualization. Integrating these three technologies offers a comprehensive, end-to-end solution for effective data analysis.
This instructor-led live training, available either online or onsite, is designed for data scientists and developers looking to master the integration of 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 performing data analysis using SQL, Python, and Tableau.
- Grasp essential concepts of software integration, including data handling, servers, clients, APIs, and endpoints.
- Review and solidify their understanding of core Python and SQL principles.
- Apply data pre-processing techniques within Python.
- Establish connections between Python and SQL to facilitate robust data analysis.
- Design compelling data visualizations and charts using Tableau.
Course Format
- Engaging interactive lectures and group discussions.
- Extensive exercises and practical practice sessions.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- To request a customized version of this course, please contact us to make arrangements.
Course Outline
Introduction
- Core fundamentals of Python and SQL
- Overview of Tableau’s features and architecture
Getting Started
- Configuring the development environment
- Understanding software integration principles
Data Pre-processing in Python
- Importing libraries and datasets
- Managing missing data values
- Data normalization and formatting
- Conducting regression analysis
Data Analysis with SQL
- Configuring the database setup
- Integrating Python with SQL
- Executing database queries
- Manipulating data through filtering, sorting, and grouping
Data Visualization using Tableau
- Visualization design principles within Tableau
- Building dashboards, charts, tables, and maps
- Practical examples and real-world use cases
Troubleshooting
Summary and Next Steps
Requirements
- Familiarity with SQL concepts and Tableau
- Python programming experience
Audience
- Data scientists
- Developers
Open Training Courses require 5+ participants.
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Testimonials (3)
the immediate application of what is learned
Mariana Gomez - BANCO DE MEXICO
Course - Tableau Fundamentals to Advanced
Machine Translated
The examples and personalized attention
Yahaira - Trane Technologies Manufactura S de RL de CV
Course - Tableau Advanced
Machine Translated
No pressure on the attendance
Agata Budzynska - Tech NorthWest Skillnet
Course - Tableau Fundamentals
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