Advanced Statistics using SPSS Predictive Analytics Software Training Course

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

This instructor-led live training in South Korea (online or onsite) is designed for business analysts aiming to automate trading using algorithmic trading, Python, and R.

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

• Utilize algorithms to rapidly buy and sell securities at specialized increments.
• Decrease trading costs through the use of algorithmic trading.
• Automatically monitor stock prices and execute trades.

Big Data refers to technologies designed for storing and processing large-scale datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar open-source projects. R is a widely used programming language in the financial sector.

This instructor-led, live training in South Korea (online or onsite) targets beginner-level data analysts who intend to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations to gain insights.

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

• Understand the basics of R Programming.
• Apply fundamental data science processes.
• Create visual representations of data.

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 and academic sectors. Additionally, R has gained popularity among statisticians, engineers, and scientists without extensive programming backgrounds due to its user-friendly nature. This widespread adoption stems from the growing reliance on data mining to achieve various objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers a comprehensive suite of packages tailored for data mining tasks.

This instructor-led, live training in South Korea (online or onsite) is aimed at data analysts who wish to program with R in SAS for cluster analysis.

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

• Use cluster analysis for data mining.
• Master R syntax for clustering solutions.
• Implement hierarchical and non-hierarchical clustering.
• Make data-driven decisions to help to improve business operations.

Data analytics has become an essential asset for modern businesses. This course emphasizes the development of practical, hands-on data analysis skills. The primary objective is to equip participants with the ability to provide evidence-based responses to key business inquiries:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led live training in South Korea (online or onsite) targets beginner-level professionals seeking to clean and analyze data, perform 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 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 popular, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering its fundamental concepts, essential libraries, and advanced topics. Participants will engage in advanced data analytics and visualization techniques using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures combined with hands-on practice

This instructor-led, live training in South Korea (online or onsite) is designed for individuals seeking to learn and master the fundamentals of econometric analysis and modeling.

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

• Acquire a solid understanding of the fundamentals of econometrics.
• Effectively utilize Eviews and risk simulators.

This instructor-led, live training in South Korea (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 aiming to leverage analytical methods to enhance organizational performance. The course encompasses both qualitative and quantitative approaches, including empirical and statistical techniques.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical activities.

Customization Options

• To arrange a customized training session for this course, please contact us.

Target Audience

This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting capabilities, including 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 essential for predicting future outcomes based on historical data.

It utilizes standard tools such as Microsoft Excel and various open-source programs, notably the R Project.

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

This instructor-led, live training in South Korea (online or onsite) is designed for beginner to intermediate-level professionals who aim to perform statistical analysis using SPSS to accurately interpret data, execute complex statistical tests, and derive 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

Course Format

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

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