Analysing Financial Data in Excel Training Course

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level advanced R users who wish 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, improve data workflows, debug and optimize code, and produce reproducible reports.

Big Data encompasses solutions designed for the storage and processing of extensive datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R has established itself as a widely utilized programming language within the financial sector.

This instructor-led, live training in the UAE (available online or onsite) is tailored for beginner-level data analysts who wish to leverage R programming to manipulate data, conduct basic data analysis, and create compelling visualizations for insights.

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

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

Data analytics is a vital asset in the modern business landscape. This course emphasizes the development of practical, hands-on data analysis skills. The primary objective is to equip participants with the ability to provide evidence-based answers 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 the UAE (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 highly popular, 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 core fundamentals, essential libraries, and advanced concepts. Participants will learn advanced data analytics and graphing techniques using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures and Hands-on

This instructor-led live training in the UAE (online or onsite) is aimed at anyone who wishes to learn and master the fundamentals of econometric analysis and modeling.

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

• Learn and understand the fundamentals of econometrics.
• Utilize Eviews and risk simulators.

This instructor-led, live training in the UAE (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 the UAE (online or on-site) is tailored for data scientists seeking to utilize Python and R for KNIME.

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

• Plan, develop, and deploy machine learning models within KNIME.
• Make data-driven decisions for operational improvements.
• Implement comprehensive data science projects from start to finish.

R Markdown serves as an authoring framework that seamlessly integrates executable R code with narrative text to produce dynamic and reproducible documents.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate R users who aim to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

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

• Create R Markdown documents that include embedded R code chunks and formatted text.
• Generate outputs in various formats, including HTML, PDF, and Word.
• Utilize parameterized reports and conditional logic to produce dynamic content.
• Customize document appearance using themes, templates, and LaTeX for a professional presentation.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical sessions.
• Hands-on implementation in a live-lab environment.

Customization Options

• To request a customized training version of this course, please contact us to make arrangements.

Shiny is an R package that empowers users to construct interactive and dynamic web applications directly within the R environment, eliminating the need for JavaScript expertise or complex web frameworks.

This instructor-led live training, available either online or on-site, is designed for intermediate-level R users looking to create and deploy custom web applications using Shiny. The focus is on leveraging Shiny for data visualization, user interaction, and reporting.

Upon completing this training, participants will be able to:

• Develop interactive web applications using Shiny and R.
• Design user interfaces featuring reactive components and dynamic inputs.
• Integrate data visualizations and reporting capabilities into Shiny applications.
• Deploy and distribute Shiny applications locally or online using Shiny Server or Posit Cloud.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To arrange a tailored training session for this course, please contact us.

This instructor-led, live training in the UAE (online or onsite) targets intermediate to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

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

• Utilize Stata effectively for data analysis and statistical modeling.
• Evaluate Stata’s capabilities in comparison to SPSS and R.
• Integrate Stata with R to facilitate smooth statistical computing.
• Create and automate workflows using both Stata and R.

This instructor-led, live training (available online or onsite) is designed for data analysts who wish to use Stata and R to analyze big data for statistical analysis.

Upon completion of this training, participants will be capable of:

• Developing statistical models to predict key variables and events of interest.
• Producing descriptive visualizations, summary tables, frequency distributions, and additional analytical outputs.
• Managing and structuring large databases to prepare them for data analysis.

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

This instructor-led live training in the UAE (available online or onsite) is designed for data scientists who wish to program in R for Tableau.

• Implement Tableau analytics using R.
• Return values to Tableau using learning algorithms in R.
• Structure and visualize R functions in Tableau.
• Drive business decisions through data.