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 applications. SQL serves as the predominant tool for managing databases, while Tableau leads the market in business intelligence and data visualization. The integration of SQL, Python, and Tableau delivers a robust, end-to-end solution for comprehensive 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 execute complex data analysis, processing, and visualization tasks.
Upon completion of this training, participants will be capable of:
- Configuring the required environment to conduct data analysis using SQL, Python, and Tableau.
- Gaining a clear understanding of essential software integration concepts, including data structures, servers, clients, APIs, and endpoints.
- Reviewing the foundational principles of Python and SQL.
- Applying data pre-processing techniques within Python.
- Mastering the connection between Python and SQL for effective data analysis.
- Designing insightful data visualizations and charts using Tableau.
Course Format
- Engaging lectures paired with interactive discussions.
- Extensive exercises and practical practice sessions.
- Hands-on implementation within a live-lab setting.
Course Customization Options
- For customized training arrangements for this course, please get in touch with us to coordinate.
Course Outline
Introduction
- 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
- Working knowledge of SQL concepts and Tableau
- Experience with Python programming
Target Audience
- Data scientists
- Developers
Open Training Courses require 5+ participants.
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Testimonials (1)
The joyful atmosphere, the openness of the knowledgeable trainer who offered us a lot of tips and tricks.
Ionut - MOLSONCOORS GLOBAL BUSINESS SERVICES SRL
Course - From Tableau Beginners to Advanced User
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