R for Data Analysis and Research Training Course

Objective:

Achieve proficiency in independently using SPSS for advanced applications, including its dialog boxes and command language syntax, to implement selected analytical techniques.

Target Audience:

This course is designed for analysts, researchers, scientists, students, and anyone seeking to master the use of SPSS at an advanced level and gain knowledge of selected statistical models. While the training covers universal analytical challenges, it is tailored to address the specific needs of particular industries.

Target Audience:

This course is designed for IT professionals seeking robust solutions for storing and processing extensive datasets within distributed system environments.

Course Objective:

To impart in-depth knowledge regarding the administration of Hadoop clusters.

Delivered by an instructor via live sessions (Malaysia (online or onsite), this programme is designed for intermediate-level data scientists and statisticians who wish to effectively prepare data, construct models, and apply machine learning techniques within their respective professional fields.

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

• Comprehend and implement a variety of machine learning algorithms.
• Prepare data and models for machine learning applications.
• Conduct post-hoc analyses and visualise results effectively.
• Apply machine learning techniques to real-world, sector-specific scenarios.

This instructor-led, live training session in Malaysia (online or onsite) is designed for scientists who wish to learn and apply Design of Experiments (DoE) to understand the cause-and-effect relationships between multiple factors.

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

• Appreciate the benefits of designed experiments compared to other methodologies.
• Interpret the cause-and-effect relationships and interactions between different factors.
• Master the best practices and guidelines for conducting successful experiments.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level engineers and designers who wish to use DFSS to ensure that quality is built into the product or process from the start of the design phase.

By the end 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 Malaysia (online or onsite) is designed for individuals looking to learn and master the fundamentals of econometric analysis and modeling.

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

• Learn and comprehend the core principles of econometrics.
• Utilise Eviews and risk simulators effectively.

Audience

Financial or market analysts, managers, accountants

Course Objectives

Facilitate and automate all kinds of financial analysis with Microsoft Excel

Target Audience

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

Course Objectives

By the end of this course, you will have a deeper understanding of both Excel and statistical concepts, enabling you to perform your work or research with greater effectiveness and efficiency.

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

This instructor-led, live training in Malaysia (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 training session (available online or onsite) 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.
• Extensive exercises and practical application.

Customization Options

• To arrange tailored training for this course, please contact us.

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical visualization. Its adoption is expanding rapidly among corporate managers, data analysts, and academic researchers. R boasts an extensive ecosystem of packages tailored for data mining and analytical tasks.

This course is tailored for those with an existing background in data science and statistics. The explanations are crafted to either refresh the knowledge of those familiar with these concepts or to inform participants with a suitable academic or professional background.
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Audience

This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting capabilities, covering areas such as 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 outcomes based on historical data.

It utilises standard tools such as Microsoft Excel or open-source software, notably the R project.

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

This instructor-led, live training in Malaysia (online or onsite) targets beginner to intermediate professionals who aim to execute statistical analysis using SPSS to accurately interpret data, perform complex statistical tests, and derive meaningful insights.

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

• Navigate the SPSS interface and manage datasets with efficiency.
• 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