Data Analysis with SQL, Python, and Tableau Training Course
Python stands as the premier programming language for data science and machine learning. SQL serves as the most widely adopted tool for database management, while Tableau leads the market in business intelligence and data visualization. By integrating SQL, Python, and Tableau, organizations can achieve a robust, end-to-end data analysis solution.
This instructor-led, live training—available either online or onsite—is designed for data scientists and developers who aim to leverage and integrate SQL, Python, and Tableau to conduct complex data analysis, processing, and visualization.
Upon completing this training, participants will be able to:
- Configure the necessary environment to perform data analysis using SQL, Python, and Tableau.
- Grasp the core concepts of software integration, including data flows, servers, clients, APIs, and endpoints.
- Review the fundamental 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 practical practice.
- Hands-on implementation within a live laboratory environment.
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
- Experience with Python programming
Audience
- Data scientists
- Developers
Open Training Courses require 5+ participants.
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Testimonials (2)
No pressure on the attendance
Agata Budzynska - Tech NorthWest Skillnet
Course - Tableau Fundamentals
The Practice, I created a dashboard is super easy, once time understand the subjects.
Luis Fernando - si
Course - Tableau Fundamentals to Advanced
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