R for Data Analysis and Research Training Course

Objective:

Achieve proficiency in independently utilizing SPSS for advanced applications, including the use of dialog boxes and command language syntax for specific analytical techniques.

Target Audience:

Analysts, researchers, scientists, students, and anyone seeking to master SPSS at an advanced level and learn selected statistical models. The training addresses universal analytical challenges while offering insights relevant to specific industries.

Audience:

This course is designed for IT professionals seeking strategies to store and process large datasets within a distributed system environment.

Goal:

To develop in-depth expertise in administering Hadoop clusters.

This instructor-led, live training in Portugal (online or onsite) is designed for data scientists and statisticians at an intermediate level who wish to effectively prepare data, build models, and apply machine learning techniques in their professional domains.

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

• Understand and implement various Machine Learning algorithms.
• Prepare data and models for machine learning applications.
• Conduct post hoc analyses and visualize results effectively.
• Apply machine learning techniques to real-world, sector-specific scenarios.

This instructor-led, live training in Portugal (online or onsite) is targeted at scientists eager to master and apply Design of Experiments (DoE) to decipher cause-and-effect relationships among various factors.

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

• Recognize the benefits of designed experiments compared to other methods.
• Identify cause-and-effect relationships and interactions between factors.
• Acquire best practices and guidelines for executing successful experiments.

This instructor-led, live training in Portugal (online or on-site) is targeted at intermediate-level engineers and designers who wish to utilise DFSS to embed quality into the product or process from the start of the design phase.

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

• Grasping the principles and concepts underlying Design for Six Sigma (DFSS).
• Familiarising themselves with the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Applying DFSS tools and techniques to design and optimise processes.
• Acquiring the skills necessary to manage and lead DFSS projects effectively.

This instructor-led, live training in Portugal (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.

Target Audience

Financial analysts, market analysts, managers, and accountants

Course Objectives

Enable the facilitation and automation of all types of financial analysis using Microsoft Excel

Target Audience

This course is designed for analysts, researchers, scientists, graduates, students, and any individuals keen on mastering statistical analysis within Microsoft Excel.

Learning Objectives

By the end of this course, you will have enhanced your proficiency in both Excel and statistics, thereby boosting the effectiveness and efficiency of your professional work or research.

The curriculum covers the use of the Analysis ToolPak in Microsoft Excel, various statistical functions, and essential statistical procedures. It also addresses Excel's inherent limitations and provides strategies to overcome them.

This instructor-led, live training in Portugal (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 session, available either online or on-site, is designed for HR professionals looking to leverage analytical methods to enhance organizational performance. The curriculum encompasses both qualitative and quantitative approaches, including empirical and statistical techniques.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and hands-on practice sessions.

Customization Options

• For those interested in a customized training course, please get in touch with us to make arrangements.

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly utilized by managers and data analysts within both corporate environments and academic institutions. R offers a vast array of packages tailored for data mining tasks.

This course is intended for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.

Target Audience

This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting skills. These skills are applicable to sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.

Course Description

This course guides participants through a series of methodologies, frameworks, and algorithms useful for predicting future outcomes based on historical data.

It utilises standard tools such as Microsoft Excel or open-source software (notably the R programming environment).

The principles covered in this course can be implemented using any software (e.g., SAS, SPSS, Statistica, MINITAB, ...)

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

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.

Target Audience

Course Format

Upon completing this training, participants will be equipped to:

This instructor-led live training guides participants through the process of manipulating and visualizing data using the tools available in the Tidyverse.

The Tidyverse comprises a suite of versatile R packages designed for cleaning, processing, modelling, and visualizing data. Key packages include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R language
• Beginners in data analysis and data visualization

• A mix of lectures, discussions, exercises, and extensive hands-on practice

• Conduct data analysis and create compelling visualizations
• Derive meaningful insights from various datasets and sample data
• Filter, sort, and summarize data to address exploratory questions
• Transform processed data into informative line plots, bar plots, and histograms
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files