Data Analysis with SQL, Python, and Tableau Training Course
Python stands out as the most widely adopted programming language for data science and machine learning. Meanwhile, SQL remains the go-to tool for database management, and Tableau leads the field in 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 either online or onsite—is designed for data scientists and developers looking to leverage and integrate SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks.
Upon completing this training, participants will be able to:
- Configure the required environment for data analysis using SQL, Python, and Tableau.
- Grasp essential software integration concepts, including data handling, servers, clients, APIs, and endpoints.
- Refresh their knowledge of Python and SQL fundamentals.
- Apply data pre-processing techniques in Python.
- Master the connection between Python and SQL for effective data analysis.
- Develop insightful data visualizations and charts using Tableau.
Course Format
- Engaging lectures and interactive discussions.
- Extensive exercises and practice sessions.
- Practical implementation in a live laboratory environment.
Customization Options
- For tailored training requests, please get in touch with us to arrange a session.
Course Outline
Introduction
- Core concepts of Python and SQL
- Overview of Tableau’s features and architecture
Getting Started
- Establishing the development environment
- Understanding software integration
Data Pre-processing in Python
- Loading libraries and datasets
- Managing missing data values
- Data normalization and formatting
- Conducting regression analysis
Data Analysis with SQL
- Database setup
- Connecting Python with SQL
- Executing database queries
- Data manipulation (filtering, sorting, and grouping)
Data Visualization using Tableau
- Visualization design principles in Tableau
- Building dashboards, charts, tables, and maps
- Practical examples and use cases
Troubleshooting
Summary and Next Steps
Requirements
- Basic understanding of SQL concepts and Tableau
- Hands-on experience with Python programming
Target Audience
- Data scientists
- Developers
Open Training Courses require 5+ participants.
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Testimonials (2)
The joyful atmosphere, the openness of the knowledgeable trainer who offered us a lot of tips and tricks.
Ionut - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL
Course - From Tableau Beginners to Advanced User
What I liked the most, was the practical part.
Andreea - REGNOLOGY ROMANIA S.R.L.
Course - SQL Advanced
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