Data Analysis with SQL, Python, and Tableau Training Course
Python stands out as the leading programming language for data science and machine learning. SQL remains the go-to tool for database management, while Tableau serves as a premier platform for business intelligence and data visualization. Integrating SQL, Python, and Tableau delivers a robust, end-to-end solution for comprehensive data analysis.
This instructor-led live training, available online or onsite, targets data scientists and developers eager to leverage and integrate SQL, Python, and Tableau to execute complex data analysis, processing, and visualization tasks.
Upon completing this training, participants will be equipped to:
- Configure the necessary environment for data analysis using SQL, Python, and Tableau.
- Comprehend core software integration concepts, including data flow, servers, clients, APIs, and endpoints.
- Review the fundamental principles of Python and SQL.
- Apply data pre-processing techniques in Python.
- Master the integration of Python and SQL for effective data analysis.
- Design meaningful data visualizations and charts using Tableau.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and practice sessions.
- Practical implementation in a live-lab setting.
Customization Options
- For customized training arrangements, please contact us to discuss your specific needs.
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
- Basic understanding of 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
Data Analysis with SQL, Python, and Tableau Training Course - Enquiry
Data Analysis with SQL, Python, and Tableau - Consultancy Enquiry
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
Upcoming Courses
Related Courses
SQL Advanced
14 HoursThis instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level database administrators, developers, and analysts who wish to master advanced SQL functionalities for complex data operations and database management.
By the end of this training, participants will be able to:
- Perform advanced querying techniques using unions, subqueries, and complex joins.
- Add, update, and delete data, tables, views, and indexes with precision.
- Ensure data integrity through transactions and manipulate database structures.
- Create and manage databases efficiently for robust data storage and retrieval.
AI for SQL: Leveraging Large Language Models for Intelligent Querying and Optimization
21 HoursThis instructor-led live training in Uzbekistan empowers data engineers to seamlessly integrate LLMs into SQL environments. Participants will learn to build natural language pipelines, apply AI-driven optimization, and design secure enterprise workflows for automated data analysis.
SQL DATABASE MANAGEMENT AND DESIGN - Bespoke
14 HoursOracle Database 19c Performance Management and Tuning
28 HoursThis instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level database administrators and IT professionals who wish to optimize the performance of Oracle Database 19c.
By the end of this training, participants will be able to:
- Understand Oracle Database 19c performance tuning concepts.
- Use performance management tools effectively.
- Optimize database performance through tuning techniques.
- Troubleshoot and resolve performance issues.
Oracle SQL - advanced
14 HoursUpon completion of this training, participants will be able to:
This course is tailored for users, developers, or administrators who have some prior experience with Oracle databases and aim to enhance and organize their expertise. It acts as a follow-up to the ORA_S1 training.
By the end of this training, participants will be able to:
- Leverage advanced SQL skills to store and process data efficiently, including optimization, analysis, and various extraction methods. Gain knowledge of database architecture and its advanced features to build robust applications.
Course Format
- Interactive lectures and discussions.
- Extensive exercises and hands-on practice.
- Practical implementation in a live-lab environment.
Customization Options
- To request a customized version of this course, please contact us to arrange it.
SQL Advanced level for Analysts
21 HoursSQL Basics
14 HoursData Science with Tableau and R Programming
14 HoursUpon completion of this training, participants will be equipped with the following skills:
This instructor-led, live training in Uzbekistan (online or onsite) is designed for data scientists interested in programming with R for Tableau.
- Integrate Tableau analytics with R.
- Return values to Tableau using R's learning algorithms.
- Organize and visualize R functions using Tableau.
- Drive business decisions through data analysis.
Tableau Desktop
21 HoursThis instructor-led, live training in Uzbekistan (online or onsite) is designed for data analysts at beginner to intermediate levels who wish to use Tableau Desktop to transform raw data into meaningful insights through graphical representations such as charts, graphs, maps, and tables.
By the end of this training, participants will be able to:
- Connect to multiple types of data sources (Excel, CSV, databases, cloud-based) and understand the differences between live and extract connections.
- Prepare and clean data for analysis, including renaming fields, handling null values, and combining datasets through joins and blends.
- Create basic visualisations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
- Develop intermediate visualisations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
- Build calculated fields and parameters to create dynamic and customised visualisations based on user inputs and logic functions.
- Design interactive dashboards and stories, incorporating multiple visualisations and filters to tell a cohesive narrative.
Tableau Explorer: Interactive Data Analysis and Dashboard Navigation
7 HoursTableau Forensic Imager
14 HoursBy the end of this training, participants will be able to:
This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level digital forensic and cybersecurity professionals who wish to have a comprehensive understanding and practical skills in using Tableau Forensic Imager for digital forensic purposes.
- Understand the role and importance of digital forensic imaging in investigations.
- Operate Tableau Forensic Imager to acquire forensically sound images.
- Apply best practices in handling and preserving digital evidence.
- Navigate the software interface to configure, execute, and manage imaging tasks.
- Analyze and validate forensic images to ensure integrity and admissibility in court.
Tableau Fundamentals to Advanced
28 HoursThis instructor-led live training Uzbekistan (online or onsite) is tailored for data analysts and data scientists who want to search, analyze, and visualize data using Tableau.
By the end of this training, participants will be able to:
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
- Represent your data using different visualization types.
- Build dashboards to share visualizations.
Tableau Prep Builder and Data Maps
21 HoursThis instructor-led live training in Uzbekistan (online or onsite) targets beginner to intermediate data analysts who wish to acquire practical knowledge of Tableau Prep Builder and essential mapping functionalities in Tableau to tackle data preparation and visualization challenges.
By the end of this training, participants will be able to:
- Connect to a variety of data sources, including cloud-based and local files, and manage live and extracted data connections.
- Perform data fusion and combination using advanced joining techniques to merge multiple datasets from different sources for better analysis.
- Create calculated fields and perform operations to manipulate and analyze data dynamically.
- Publish and update prepared data to Tableau Server or Tableau Online, enabling automated updates and scheduling.
- Create basic and advanced maps with geographic data, including filled maps, density maps, and dual-axis maps.
- Apply mapping techniques to solve real-world business problems by creating interactive, detailed geographic visualizations.
Tableau Advanced
14 HoursThis instructor-led, live training in Uzbekistan (online or on-site) is designed for advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize dashboards, and perform advanced data analysis.
By the end of this training, participants will be able to install and configure Tableau for advanced use, create complex calculations, design interactive dashboards, and optimize performance.