Data Analysis with SQL, Python, and Tableau Training Course
Python stands as the most widely used programming language in the fields of data science and machine learning. SQL remains the predominant tool for managing databases, while Tableau is recognized as a top-tier platform for business intelligence and data visualization. The integration of SQL, Python, and Tableau offers a robust, comprehensive solution for data analysis.
This instructor-led, live training session (available online or onsite) is designed for data scientists and developers looking to leverage and combine 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 necessary environment to conduct data analysis using SQL, Python, and Tableau.
- Gaining a clear understanding of core software integration concepts (such as data, servers, clients, APIs, and endpoints).
- Reviewing the fundamental principles of Python and SQL.
- Applying data pre-processing techniques in Python.
- Establishing connections between Python and SQL for effective data analysis.
- Developing meaningful data visualizations and charts using Tableau.
Format of the Course
- Engaging lectures and interactive discussions.
- Extensive exercises and practical practice.
- Hands-on implementation within a live-lab environment.
Course Customization Options
- For information regarding customized training for this course, please reach out to 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.
Data Analysis with SQL, Python, and Tableau Training Course - Booking
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Testimonials (2)
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
What I liked the most, was the practical part.
Andreea - REGNOLOGY ROMANIA S.R.L.
Course - SQL Advanced
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