Data Analysis with SQL, Python, and Tableau Training Course
Python serves as the predominant programming language for data science and machine learning applications. Structured Query Language (SQL) remains the standard utility for database management, while Tableau functions as a primary platform for business intelligence and data visualization. Integrating SQL, Python, and Tableau establishes a comprehensive, end-to-end framework for analytical workflows, specifically designed for government agencies requiring robust data capabilities.
This instructor-led live training, available in online or onsite formats, targets data scientists and developers tasked with leveraging SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks within federal operations.
Upon completion of this curriculum, participants will achieve the following outcomes:
- Configure the required technical environment to facilitate data analysis using SQL, Python, and Tableau.
- Master essential software integration principles, including data architecture, server-client relationships, APIs, and endpoints.
- Review fundamental programming concepts in Python and SQL to ensure operational proficiency.
- Execute data pre-processing methodologies within the Python environment.
- Establish functional connections between Python and SQL for streamlined data analysis.
- Generate comprehensive data visualizations and analytical charts using Tableau.
Training Delivery Format
- Interactive lectures and structured professional discussions.
- Extensive exercises and practical application drills.
- Direct implementation in a live-lab environment.
Curriculum Customization
- To request a customized training session tailored to specific organizational requirements, please contact the training administration to arrange terms.
Course Outline
Introduction
- Core concepts of Python and SQL
- Tableau capabilities and system architecture
Initiating the Project
- Configuring the development environment
- Evaluating software interoperability
Data Pre-processing via Python
- Loading libraries and datasets
- Addressing missing data points
- Data normalization and formatting procedures
- Executing regression analysis
Data Analysis with SQL
- Establishing the database infrastructure
- Integrating Python with SQL
- Performing database queries
- Data manipulation techniques (filtering, sorting, and grouping)
Data Visualization using Tableau
- Visualization design principles for Tableau
- Developing dashboards, charts, tables, and maps
- Practical applications and case studies
Troubleshooting
Summary and Next Steps
Requirements
- Working knowledge of SQL principles and Tableau
- Proficiency in Python programming
Target Audience
- Data Scientists
- Software Developers
Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.
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Testimonials (1)
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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