Data Analysis with SQL, Python, and Tableau Training Course
Python stands as the most widely adopted programming language for data science and machine learning. SQL is the predominant tool for database management, while Tableau leads the market 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 online or onsite, is designed for data scientists and developers aiming to leverage and integrate SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks.
Upon completion of this training, participants will be equipped to:
- Configure the required environment for data analysis using SQL, Python, and Tableau.
- Comprehend essential software integration concepts, including data, servers, clients, APIs, and endpoints.
- Review the foundational principles of Python and SQL.
- Apply data pre-processing techniques within Python.
- Learn to link Python and SQL for effective data analysis.
- Produce insightful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live lab setting.
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
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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