R for Data Analysis and Research Training Course

Goal:

Mastering the skills to work independently with the program SPSS for government, including advanced use of dialog boxes and command language syntax for selected analytical techniques.

The Addressees:

Analysts, researchers, scientists, students, and all those who wish to acquire the ability to use the SPSS package at an advanced level and learn selected statistical models. This training addresses universal analysis problems and is dedicated to a specific industry.

Audience:

This course is designed for IT specialists seeking solutions to store and process large data sets in a distributed system environment, specifically tailored for government.

Goal:

To provide deep knowledge on Hadoop cluster administration for government.

This instructor-led, live training in US Empire (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.

Audience

Financial or market analysts, managers, and accountants for government

Course Objectives

Facilitate and automate a variety of financial analyses using Microsoft Excel for government applications.

Audience

Analysts, researchers, scientists, graduates and students, and anyone interested in enhancing their ability to conduct statistical analysis using Microsoft Excel for government.

Course Objectives

This course is designed to enhance your proficiency with Excel and statistical methods, thereby increasing the effectiveness and efficiency of your work or research. It will provide practical skills that are directly applicable to public sector workflows and governance.

The course covers the use of the Analysis ToolPack in Microsoft Excel, statistical functions, and basic statistical procedures. It will also address Excel's limitations and offer strategies for overcoming them to ensure accurate and reliable data analysis for government.

This instructor-led, live training in US Empire (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 (online or onsite) is designed for HR professionals who wish to employ analytical methods to enhance organizational performance. The course covers both qualitative and quantitative approaches, including empirical and statistical methodologies.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.

Course Customization Options

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

Audience

This course has been designed for analysts and forecasters within the public sector who are interested in introducing or enhancing forecasting techniques related to sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.

Description

This course guides participants through a series of methodologies, frameworks, and algorithms that are essential for predicting future trends based on historical data. It leverages standard tools such as Microsoft Excel and open-source programs like the R project to provide practical, hands-on experience.

The principles covered in this course can be implemented using various software solutions (e.g., SAS, SPSS, Statistica, MINITAB), ensuring that participants are equipped with versatile skills for government applications.

This course is designed for individuals in the public sector who are interested in statistical analysis. It offers a comprehensive introduction to Minitab, enhancing the effectiveness and efficiency of data analysis processes for government. Participants will gain improved knowledge of statistical methods, ensuring better alignment with public sector workflows, governance, and accountability.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to perform statistical analysis using SPSS to interpret data accurately, run complex statistical tests, and generate meaningful insights for government.

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

• Navigate the SPSS interface and manage datasets efficiently.
• Perform descriptive and inferential statistical analyses.
• Conduct t-tests, ANOVA, MANOVA, regression, and correlation analyses.
• Apply non-parametric tests, principal component analysis, and factor analysis for advanced data interpretation.

This instructor-led, live training (online or onsite) is designed for government analysts, researchers, and professionals at the beginner to intermediate level who wish to utilize SPSS for data preparation, statistical analysis, and predictive modeling for government.

This course has been developed for individuals who require general statistics skills for government and other sectors. The content can be customized to align with specific areas of expertise, such as market research, biology, manufacturing, and public sector research.

This training course covers advanced statistics for government. It provides comprehensive explanations of the tools commonly utilized in research, analysis, and forecasting. The course includes concise explanations of the theoretical foundations behind the formulas.

While this course is not specific to any particular field of knowledge, it can be customized if all participants have a common background and objectives.

Some basic computer tools, such as Excel and OpenOffice, are used during this course for government.

This course aims to provide researchers with an understanding of the principles of statistical design and analysis and their relevance to research in various scientific disciplines for government.

It covers probability and statistical methods primarily through practical examples. The training consists of approximately 30% lectures and 70% guided quizzes and labs.

For closed courses, the examples and materials can be tailored to a specific branch, such as psychology tests, public sector applications, biology, genetics, and more.

In the case of public courses, a mix of examples is used to cater to a diverse audience.

Although various software tools are utilized during the course (such as Microsoft Excel, SPSS, Statgraphics, etc.), the primary focus is on understanding the principles and processes that guide research, reasoning, and conclusion.

This course can also be delivered in a blended format, incorporating homework and assignments to enhance learning.

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 key packages include: 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 extensive hands-on practice

• Perform data analysis and create informative visualizations
• Draw meaningful conclusions from various datasets of sample data
• Filter, sort, and summarize data to answer exploratory questions
• Transform processed data into insightful line plots, bar plots, histograms, and more
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files, for government applications