Data Analysis with SQL, Python, and Tableau Training Course
Python stands out as the premier programming language for data science and machine learning. SQL is the standard tool for database management, while Tableau serves as a top-tier platform for business intelligence and data visualization. By integrating SQL, Python, and Tableau, you gain a comprehensive, end-to-end solution for data analysis.
This instructor-led live training, available either online or onsite, is designed for data scientists and developers aiming to master the integration of SQL, Python, and Tableau to conduct complex data analysis, processing, and visualization.
Upon completing this course, participants will be able to:
- Configure the required environment for data analysis using SQL, Python, and Tableau.
- Grasp essential software integration concepts, including data flow, servers, clients, APIs, and endpoints.
- Review the core principles of Python and SQL.
- Execute data pre-processing techniques within Python.
- Establish connections between Python and SQL to facilitate data analysis.
- Generate insightful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practice opportunities.
- Practical implementation in a live laboratory setting.
Customization Options
- To arrange customized training for this course, please get in touch with us.
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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