Data Analysis with SQL, Python, and Tableau Training Course
Python stands out as the most widely adopted programming language for data science and machine learning. SQL remains the predominant tool for database management, while Tableau leads the market in business intelligence and data visualization. Integrating these three technologies offers a robust, end-to-end solution for data analysis.
This instructor-led live training, available either online or onsite, is designed for data scientists and developers who aim to leverage and integrate SQL, Python, and Tableau to conduct complex data analysis, processing, and visualization.
Upon completing this training, participants will be capable of:
- Configuring the necessary environment to conduct data analysis using SQL, Python, and Tableau.
- Grasping 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.
- Developing meaningful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practical practice.
- Hands-on implementation in a live lab environment.
Course Customization Options
- To request a customized training version of 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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