Analysing Financial Data in Excel Training Course

This instructor-led, live training in US (online or onsite) is designed for intermediate-level advanced R users who aim to enhance their skills in building faster workflows, improving code quality, and managing more complex analysis tasks for government.

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

Big Data refers to technologies and solutions designed for storing and processing extensive data sets. Initially developed by Google, these Big Data solutions have since advanced and inspired numerous similar initiatives, many of which are now available as open-source projects. The programming language R is widely used in the financial sector and can also be leveraged for government applications to enhance data analysis and decision-making processes.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level data analysts who wish to utilize R programming to manage data, conduct basic data analysis, and produce insightful visualizations. By the end of this training, participants will be able to: - Grasp the fundamentals of R Programming. - Implement essential data science methodologies. - Generate visual representations of data to support decision-making for government.

Data analytics is a critical tool in the public sector today. This course will focus on developing practical, hands-on skills for government data analysis. The aim is to equip participants with the ability to provide evidence-based answers to key questions:

What has happened?

• processing and analyzing data
• creating informative data visualizations

What will happen?

• forecasting future performance for government operations
• evaluating the accuracy of forecasts

What should happen?

• transforming data into evidence-based decisions for government
• optimizing processes and workflows

This instructor-led, live training in US (online or onsite) is designed for 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 government 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 for statistical computing, data analytics, and graphical representation. This course introduces the R programming language to participants, covering language fundamentals, libraries, and advanced concepts. It includes advanced data analytics and graphing techniques using real-world data.

Audience

Developers and Data Analysts for government

Duration

3 days

Format

Lectures and Hands-on Exercises

This instructor-led, live training in [location] (online or onsite) is aimed at individuals who wish to learn and master the fundamentals of econometric analysis and modeling for government. By the end of this training, participants will be able to: - Understand and apply the core principles of econometrics. - Utilize Eviews and risk simulation tools effectively.

This instructor-led, live training in US (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 for government.

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 US (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME for government applications.

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

• Plan, build, and deploy machine learning models in KNIME for government projects.
• Make data-driven decisions for operational improvements.
• Implement end-to-end data science projects within public sector workflows.

R Markdown is an authoring framework that integrates executable R code with narrative text to produce dynamic and reproducible documents. This instructor-led, live training (online or onsite) is designed for beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for government internal documentation, research publications, or web publishing. By the end of this training, participants will be able to: - Create R Markdown documents with embedded R code chunks and formatted text. - Generate outputs in multiple formats, including HTML, PDF, and Word. - Use parameterized reports and conditional logic to generate dynamic content. - Customize document appearance with themes, templates, and LaTeX for professional presentation. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options** - To request a customized training for this course, please contact us to arrange.

Shiny is an R package that enables users to develop interactive and dynamic web applications directly from R, without the need for knowledge of JavaScript or complex web frameworks. This instructor-led, live training (online or onsite) is designed for intermediate-level R users who wish to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting in a government context. By the end of this training, participants will be able to: - Create interactive web applications using Shiny and R. - Design user interfaces with reactive elements and dynamic inputs. - Incorporate data visualizations and reporting features into Shiny apps. - Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud. **Format of the Course** - Interactive lecture and discussion. - Numerous exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** - To request a customized training for this course, tailored to specific government needs, please contact us to arrange.

This instructor-led, live training in US (online or onsite) is aimed at intermediate to advanced computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R for government applications.

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

• Effectively utilize Stata for data analysis and statistical modeling in public sector projects.
• Compare Stata’s functionalities with those of SPSS and R to make informed decisions for government workflows.
• Integrate Stata with R to enhance statistical computing capabilities for government initiatives.
• Develop and automate workflows using Stata and R to improve efficiency and accuracy in public sector tasks.

This instructor-led, live training (available online or on-site) is designed for government data analysts who wish to utilize Stata and R to conduct statistical analysis of big data. By the end of this training, participants will be able to: - Develop statistical models for predicting key variables and events. - Produce descriptive visualizations, summary tables, frequencies, and other relevant outputs. - Organize and manage large datasets to prepare for comprehensive data analysis for government purposes.

By the end of this training, participants will be able to: This instructor-led, live training (online or onsite) is designed for government data scientists who wish to program in R for Tableau. - Implement Tableau analytics using R. - Return values to Tableau by applying learning algorithms in R. - Structure and visualize R functions within Tableau. - Make data-driven decisions to enhance business operations for government.