Statistics Level 1 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.

This instructor-led, live training (online or onsite) is aimed at business analysts who wish to automate trade processes using algorithmic trading, Python, and R for government.

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

• Utilize algorithms to execute the buying and selling of securities at precise intervals rapidly.
• Minimize costs associated with trading through algorithmic methods.
• Automatically monitor stock prices and execute trades accordingly.

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.

This instructor-led, live training in [location] (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis for government. By the end of this training, participants will be able to: - Utilize cluster analysis for data mining. - Master R syntax for clustering solutions. - Implement both hierarchical and non-hierarchical clustering techniques. - Make data-driven decisions to enhance operational efficiency in public sector workflows.

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.

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously contribute to this growing body of data.

This instructor-led, live course focuses on extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training, participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on their significance, enhancing decision-making processes for government.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they develop a real-world application. By the end of this training, participants will be able to: - Understand and implement unsupervised learning techniques. - Apply clustering and classification methods to make predictions based on real-world data. - Visualize data to quickly gain insights, make decisions, and further refine analysis. - Improve the performance of a machine learning model using hyper-parameter tuning. - Deploy a model into production for use in a larger application. - Apply advanced machine learning techniques to address questions involving social network data, big data, and more, ensuring alignment with public sector workflows and governance for government.

R is a widely used programming language in the financial sector. It is applied in various financial applications, from core trading systems to risk management frameworks.

In this instructor-led, live training, participants will learn how to leverage R to develop practical applications for addressing specific finance-related challenges.

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

• Comprehend the foundational principles of the R programming language
• Select and utilize R packages and techniques to organize, visualize, and analyze financial data from multiple sources (CSV, Excel, databases, web, etc.)
• Create applications that address issues related to asset allocation, risk analysis, investment performance, and more
• Diagnose, integrate, deploy, and optimize an R application for government use

Audience

• Developers
• Analysts
• Quants

Format of the course

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

Note

• This training is designed to provide solutions for key challenges faced by finance professionals. If you have specific topics, tools, or techniques that you would like to add or delve deeper into, please contact us to arrange.