Data Analysis with SQL, Python, and Tableau Training Course
Python stands out as the leading programming language for data science and machine learning. SQL is the most widely adopted tool for managing databases, while Tableau serves as a premier platform for business intelligence and data visualization. Integrating SQL, Python, and Tableau creates a robust, end-to-end solution for comprehensive data analysis.
This live training, delivered by an instructor (available online or onsite), is designed for data scientists and developers who aim to leverage and integrate SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks.
Upon completing this training, participants will be capable of:
- Establishing the required environment for data analysis using SQL, Python, and Tableau.
- Gaining insight into the core concepts of software integration, including data flow, servers, clients, APIs, and endpoints.
- Reviewing the fundamental principles of Python and SQL.
- Executing data pre-processing techniques within Python.
- Mastering the connection between Python and SQL for effective data analysis.
- Producing meaningful data visualizations and charts using Tableau.
Course Structure
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Practical implementation within a live-lab environment.
Customization Options
- For inquiries regarding customized training for this course, please get in touch with us to make arrangements.
Course Outline
Introduction
- Fundamentals of Python and SQL
- Overview of Tableau features and architecture
Initial Steps
- Configuring the development environment
- Understanding software integration
Data Pre-processing in Python
- Importing libraries and datasets
- Managing missing data values
- Data normalization and formatting
- Conducting regression analysis
Data Analysis with SQL
- Setting up the database
- Connecting Python and SQL
- Executing database queries
- Manipulating data (filtering, sorting, and grouping)
Data Visualization using Tableau
- Design principles for visualization in Tableau
- Building dashboards, charts, tables, and maps
- Practical examples and use cases
Troubleshooting
Summary and Next Steps
Requirements
- Knowledge 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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