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 standard tool for database management, while Tableau is a top-tier solution for business intelligence and data visualization. Integrating SQL, Python, and Tableau delivers a robust, end-to-end framework for data analysis.
This instructor-led live training (available online or onsite) targets data scientists and developers looking to leverage and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.
Upon completion of this training, participants will be capable of:
- Establishing the required environment to conduct data analysis using SQL, Python, and Tableau.
- Grasping the core principles of software integration (including data, servers, clients, APIs, and endpoints).
- Reviewing the fundamentals of Python and SQL.
- Applying data pre-processing techniques in Python.
- Connecting Python with SQL for effective data analysis.
- Developing meaningful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab setting.
Customization Options
- For customized training requests, please contact us to arrange.
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 in Python programming
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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