Data Science with Tableau and R Programming Training Course

This course explores human perception and demonstrates how to utilize it to generate optimal insights. Participants will become familiar with design theory, covering Gestalt Laws, pre-attentive attributes, and inclusive design practices. You will also gain an understanding of the similarities and distinctions between exploratory and explanatory analysis. The curriculum includes guidance on chart selection, helping you identify the most appropriate visualization type for your data. By the end of the course, you will know how to apply design principles to visualizations created using Tableau software.

This instructor-led live training in Romania (offered online or onsite) targets data scientists and developers looking to utilize and integrate SQL, Python, and Tableau for complex data analysis, processing, and visualization.

By the conclusion of this training, participants will be able to:

• Establish the necessary environment to perform data analysis using SQL, Python, and Tableau.
• Comprehend core software integration concepts such as data, servers, clients, APIs, and endpoints.
• Refresh their knowledge of Python and SQL fundamentals.
• Execute data pre-processing techniques in Python.
• Learn how to link Python and SQL for data analysis purposes.
• Create meaningful data visualizations and charts with Tableau.

Throughout this course, you will gain the ability to:

This is a beginner-level Tableau training course designed for individuals eager to work with data. It aims to equip you with the skills to utilize Tableau's core functionalities effectively.

• Establish connections with your data sources.
• Edit and save data sources.
• Grasp key Tableau terminology.
• Utilize the Tableau interface and conceptual framework to create impactful visualizations.
• Develop basic calculations, including arithmetic operations, custom aggregations, ratios, date-based math, and quick table calculations.
• Visualize your data using various chart types:
  • Cross tabs
  • Geographic maps
  • Heat maps
  • Tree maps
  • Pie charts and bar charts
  • Dual axis and combined charts with mixed mark types
  • Highlight Tables
  • Scatter Plots
• Construct dashboards to share your visual insights.

This instructor-led, live training in Romania (online or onsite) is aimed at beginner-level professionals who wish to use Tableau to create data visualizations and interactive dashboards.

By the end of this training, participants will be able to: connect to data sources, build visualizations, design dashboards, and apply basic data analysis techniques.

This instructor-led, live training in Romania (online or onsite) is aimed at beginner-level to intermediate-level data analysts 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 distinctions 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 visualizations such as tables, bar charts, line charts, and maps, and apply filters to refine data presentations.
• Develop intermediate visualizations including geographic maps, dual-axis charts, and use hierarchies, groups, and sets to enhance analysis.
• Build calculated fields and parameters to create dynamic and customized visualizations based on user inputs and logic functions.
• Design interactive dashboards and stories, incorporating multiple visualizations and filters to tell a cohesive narrative.

Tableau Explorer is a license level in Tableau Cloud designed for users who interact with dashboards, apply filters, create views, and collaborate with teams using published data sources.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business users who wish to explore, filter, and interact with data using Tableau Explorer in Tableau Cloud.

By the end of this training, participants will be able to:

• Navigate Tableau dashboards and shared workbooks confidently.
• Apply filters, drill down, and export data from dashboards.
• Create saved views and custom alerts based on data changes.
• Collaborate with team members using comments, subscriptions, and shared views.

Format of the Course

• Interactive lecture and demonstration.
• Hands-on exercises using shared dashboards and published content.
• Real-time practice in Tableau Cloud with guided exploration.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in Romania, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization.

By the end of this training, participants will be able to:

• Install and configure Tableau (Desktop, Server, Online.)
• Understand the fundamentals of developing with Tableau.
• Create and publish data visualizations and interactions with Tableau.
• Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.

Upon completing this training, participants will be able to:

This live, instructor-led training in Romania (online or onsite) is designed for intermediate-level digital forensic and cybersecurity professionals seeking 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.

This instructor-led live training, conducted in Romania (online or onsite), is tailored for data analysts and data scientists aiming 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.

This instructor-led, live training in Romania (online or onsite) is aimed at data analysts who wish to prepare and shape data using Tableau Prep Builder.

By the end of this training, participants will be able to:

• Install Tableau Prep.
• Understand and implement a Data Science Workflow.
• Read data from a variety of sources, such as Excel and databases.
• Prepare, shape and sample data for analysis in Tableau Desktop.
• Explore and validate data.
• Create and publish Tableau Prep flows.

This instructor-led live training in Romania (online or onsite) is designed for beginner to intermediate data analysts who want to acquire practical expertise in Tableau Prep Builder and key mapping functionalities in Tableau to address data preparation and visualization challenges.

By the conclusion of this training, participants will be able to:

• Connect to a wide range 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 various sources for improved 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 serves as a powerful business intelligence and data visualization platform, while Python is a versatile programming language that supports a broad spectrum of statistical and machine learning methods. By leveraging Tableau's robust visualization capabilities alongside Python's advanced machine learning features, developers can swiftly create sophisticated data analytics solutions tailored to diverse business needs.

Through this instructor-led live training, attendees will learn how to effectively merge Tableau and Python to perform advanced analytics. The integration between the two tools is facilitated via the TabPy API.

Upon completing this training, participants will be able to:

• Integrate Tableau and Python using the TabPy API
• Analyze complex business scenarios with minimal Python code by utilizing their combined integration

Audience

• Developers
• Data scientists

Format of the course

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Upon completion of this training, participants will be equipped with the following capabilities:

This instructor-led live training in Romania (online or onsite) is designed for intermediate to advanced data architects seeking to acquire the skills necessary for installing, configuring, managing, and maintaining a Tableau Server environment.

• Gain an in-depth understanding of the Tableau Server architecture.
• Comprehend Tableau Server processes and functions.
• Leverage Tableau Server to automate various tasks.
• Configure and manage the Tableau Server effectively.
• Establish Tableau Server configurations for high availability and scalability.

This instructor-led live training in Romania (online or onsite) is designed for beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.

Audience

Format of the course

By the end of this training, participants will be able to:

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Beginners to the R language
• Beginners to data analysis and data visualization

• Part lecture, part discussion, exercises and heavy hands-on practice

• Perform data analysis and create appealing visualizations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarize data to answer exploratory questions
• Turn processed data into informative line plots, bar plots, histograms
• Import and filter data from diverse data sources, including Excel, CSV, and SPSS files