R for Data Analysis and Research Training Course

Objective:

Develop the capability to work independently with SPSS for advanced applications, including dialog box navigation and command-line syntax, tailored to specific analytical techniques.

Target Audience:

This course is designed for analysts, researchers, scientists, students, and any professionals seeking to master SPSS at an advanced level and learn selected statistical models. The training addresses universal analytical challenges while allowing for customization to specific industry needs.

Audience:

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

Objective:

To provide in-depth knowledge of Hadoop cluster administration.

This instructor-led, live training in Brazil (online or onsite) targets intermediate-level data scientists and statisticians who wish to prepare data, build models, and effectively 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 Brazil (online or onsite) is aimed at scientists who wish to learn and utilize Design of Experiments (DoE) to understand the cause-and-effect relationships between multiple factors.

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

• Understand the advantages of designed experiments over other approaches.
• Understand the cause-and-effect relationships and interactions between factors.
• Learn the best practices and guidelines for conducting successful experimentation.

This instructor-led live training, offered in Brazil (online or on-site), is designed for intermediate-level engineers and designers who want to leverage DFSS to embed quality into the product or process from the very beginning of the design phase.

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

• Understand the principles and concepts of Design Six Sigma (DFSS).
• Learn the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Apply DFSS tools and techniques to design and optimize processes.
• Develop skills to manage and lead DFSS projects effectively.

This instructor-led live training in Brazil (online or onsite) targets anyone interested in mastering 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.

Audience

This course is designed for analysts, researchers, scientists, graduates, and students, as well as anyone interested in mastering statistical analysis using Microsoft Excel.

Course Objectives

By the end of this course, you will enhance your proficiency in both Excel and statistical concepts, thereby increasing the effectiveness and efficiency of your work or research.

The curriculum covers the use of Excel's Analysis ToolPak, statistical functions, and fundamental statistical procedures. It also addresses common Excel limitations and provides strategies to overcome them.

This instructor-led, live training in Brazil (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, available online or onsite, is designed for HR professionals seeking 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 group discussions.
• Extensive exercises and practical application.

Customization Options

• To request customized training for this course, please contact us to arrange your session.

R is an open-source, free programming language designed for statistical computing, data analysis, and graphics. A growing number of managers and data analysts within both corporate environments and academia rely on R. It offers a wide variety of packages tailored for data mining.

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 capabilities in areas such as 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 that are valuable when selecting approaches to predict future outcomes based on historical data.

It utilizes standard tools such as Microsoft Excel or open-source software (particularly the R programming language).

The principles taught in this course can be applied using any statistical software (e.g., SAS, SPSS, Statistica, MINITAB, among others).

This course is designed for anyone with an interest in statistical analysis. It builds proficiency in Minitab, enhancing your data analysis capabilities and deepening your understanding of statistical concepts.

This instructor-led live training in Brazil (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.

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.

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 packages included are: 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 heavy hands-on practice

• Perform data analysis and create appealing visualizations
• Draw useful conclusions from various datasets of sample data
• Filter, sort and summarize data to answer exploratory questions
• Turn processed data into informative line plots, bar plots, histograms
• Import and filter data from diverse data sources, including Excel, CSV, and SPSS files