Data Science with Tableau and R Programming Training Course

This instructor-led live training in Turkey (online or onsite) is designed for intermediate-level R users who aim to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to create reusable functions, enhance data workflows, debug and optimize code, and produce reproducible reports.

Big Data encompasses solutions designed for the storage and processing of massive datasets. Originally developed by Google, these Big Data frameworks have evolved and inspired numerous similar initiatives, many of which are available as open-source software. R is widely recognized as a leading programming language within the financial sector.

This instructor-led live training, delivered Turkey (online or onsite), is tailored for beginner-level data analysts who intend to use R programming for data manipulation, basic data analysis, and creating impactful visualizations to uncover insights.

Upon completion of this training, participants will be able to:

• Grasp the core principles of R Programming.
• Implement fundamental data science processes.
• Generate visual representations of data.

Data analytics serves as a pivotal asset in contemporary business environments. Our primary focus throughout this course is to cultivate practical, hands-on skills in data analysis. The objective is to empower participants to formulate evidence-based responses to key questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Turkey (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

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

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language, covering its fundamentals, libraries, and advanced concepts. Participants will learn how to perform advanced data analytics and create graphics using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on

This instructor-led, live training in Turkey (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

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

• Understand the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Utilize the ‘forecast’ package to generate accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led live training in Turkey (available online or onsite) is designed for data scientists and developers who aim to utilize and integrate SQL, Python, and Tableau to perform advanced data analysis, processing, and visualization.

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

• Establish the necessary environment to perform data analysis with SQL, Python, and Tableau.
• Understand key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
• Get a refresher on the fundamentals of Python and SQL.
• Perform data pre-processing techniques in Python.
• Learn how to connect Python and SQL for data analysis.
• Create insightful data visualizations and charts with Tableau.

This instructor-led, live training in Turkey (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 represents a specific license tier within Tableau Cloud, tailored for users who engage with dashboards, apply filters, generate views, and collaborate with teams using published data sources.

This instructor-led, live training session (available online or onsite) targets beginner to intermediate business users who aim to explore, filter, and interact with data using the Tableau Explorer role in Tableau Cloud.

Upon completing this training, participants will be equipped to:

• Navigate Tableau dashboards and shared workbooks with confidence.
• Apply filters, drill down into details, and export data directly from dashboards.
• Create saved views and establish custom alerts triggered by data changes.
• Collaborate effectively with team members through comments, subscriptions, and shared views.

Course Format

• Interactive lectures and live demonstrations.
• Hands-on exercises utilizing shared dashboards and published content.
• Real-time practice within Tableau Cloud, guided by exploratory instructions.

Customization Options

• For customized training arrangements, please contact us.

Upon completing this training, participants will be equipped to:

This live, instructor-led training in Turkey (online or on-site) targets intermediate-level cybersecurity and digital forensic professionals who wish to gain thorough understanding and hands-on skills in utilizing Tableau Forensic Imager for forensic purposes.

• Grasp the significance and role of digital forensic imaging in investigations.
• Operate Tableau Forensic Imager to obtain forensically sound images.
• Implement best practices for preserving and handling digital evidence.
• Navigate the software interface to configure, manage, and execute imaging tasks.
• Validate and analyze forensic images to guarantee integrity and court admissibility.

This instructor-led, live training in Turkey (online or onsite) is designed for data analysts and data scientists who wish to search, analyze, and visualize data using Tableau.

Upon completing this training, participants will be able to:

• Establish connections to various data sources.
• Edit and save data sources effectively.
• Gain a solid understanding of Tableau terminology.
• Leverage the Tableau interface and underlying paradigm to create impactful visualizations.
• Develop complex calculations, including arithmetic operations, custom aggregations and ratios, date functions, and table calculations.
• Represent data through a variety of visualization types.
• Construct dashboards to share and present visual insights.

This instructor-led, live training in Turkey (online or onsite) is designed for data analysts at beginner to intermediate levels who seek to gain practical knowledge of Tableau Prep Builder and the essential mapping functionalities in Tableau to address data preparation and visualization challenges.

Upon completion of this training, participants will be able to:

• Establish connections with a wide range of data sources, such as cloud-based and local files, while managing both live and extracted data connections.
• Execute data fusion and combination through sophisticated joining methods to consolidate multiple datasets from various origins for enhanced analysis.
• Develop calculated fields and conduct operations to dynamically manipulate and analyze data.
• Publish and update prepared data to Tableau Server or Tableau Online, thereby facilitating automated updates and scheduling.
• Design both fundamental and advanced maps using geographic data, encompassing filled maps, density maps, and dual-axis maps.
• Utilize mapping techniques to resolve practical business issues by developing interactive, detailed geographic visualizations.

This instructor-led, live training in Turkey (online or onsite) is aimed at 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 advanced calculations, design interactive dashboards, and optimize performance.

This engaging 4-day course is designed for Tableau newcomers. Throughout the sessions, you will become proficient in all Tableau capabilities and learn how to create and share data visualizations with others. The curriculum walks you through every essential step: connecting to data sources, creating calculations, selecting appropriate chart types, building dashboards, and publishing your final work.

The course structure combines topic-specific lectures with practical exercises. It concludes with a 30-minute knowledge test and a 60-minute project assignment.

Course milestones:

• Get comfortable with the Tableau interface.
• Connect to and manage your data effectively.
• Utilize key Tableau features.
• Create insightful visualizations.
• Share your work with a wider audience.

Format of the Course:

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.
• Knowledge test and hands-on project at the end of the course