Data Analysis with SQL, Python, and Tableau Training Course
Python has become the leading programming language for data science and machine learning. SQL remains the most widely adopted tool for database management, while Tableau stands out as a premier business intelligence and data visualization platform. Integrating SQL, Python, and Tableau creates a robust, end-to-end solution for comprehensive data analysis.
This instructor-led live training, available online or onsite, is designed for data scientists and developers looking to leverage and integrate SQL, Python, and Tableau to conduct complex data analysis, processing, and visualization.
Upon completion of this training, participants will be capable of:
- Configuring the necessary environment to execute data analysis using SQL, Python, and Tableau.
- Gaining a solid understanding of core software integration concepts (such as data flows, servers, clients, APIs, and endpoints).
- Refreshing their knowledge of Python and SQL fundamentals.
- Applying data pre-processing techniques within Python.
- Establishing connections between Python and SQL for effective data analysis.
- Developing insightful data visualizations and charts using Tableau.
Format of the Course
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live lab environment.
Course 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)
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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