Advanced Statistics using SPSS Predictive Analytics Software Training Course

This instructor-led, live training in Taiwan (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 Taiwan (online or onsite) is designed for business analysts who wish to automate their 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 specific increments.
• Lower trading costs by leveraging algorithmic trading techniques.
• Automatically monitor stock prices and execute trades without manual intervention.

Big Data refers to solutions designed for the storage and processing of large-scale data sets. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are available as open-source software. R is a widely used programming language in the financial industry.

This instructor-led, live training in Taiwan (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for 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 graphics. An increasing number of managers and data analysts within corporate and academic sectors utilize R. It has also gained popularity among statisticians, engineers, and scientists without formal programming backgrounds who appreciate its user-friendly nature. This rising prominence stems from the expanding application of data mining for diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, or refining financial models. R supports a broad array of packages tailored for data mining.

This instructor-led, live training in Taiwan (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 is a vital asset for modern businesses. This course emphasizes the development of practical, hands-on data analysis skills. Its goal is to equip participants with the ability to provide evidence-based responses to key questions: 

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, offered both online and onsite, targets beginner-level professionals eager to clean and analyze data, make 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 highly popular, open-source environment dedicated to statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering language fundamentals, essential libraries, and advanced concepts, along with practical advanced data analytics and graphing techniques using real-world datasets.

Audience

Developers and data analytics professionals

Duration

3 days

Format

Lectures combined with hands-on practice

This instructor-led live training in Taiwan (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.

This instructor-led, live training in Taiwan (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.

Designed for HR professionals seeking to leverage analytical techniques to enhance organizational performance, this instructor-led live training is available either online or on-site. The curriculum encompasses qualitative methods alongside empirical and statistical quantitative approaches.

Course Format

• Engaging lectures coupled with interactive discussion.
• Extensive exercises and hands-on practice.

Customization Options

• To arrange a tailored training session for this course, please reach out to us.

Target Audience

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

It utilizes standard tools such as Microsoft Excel or open-source programs (notably the R project).

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

This instructor-led, live training in Taiwan (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

Course Format

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

In this instructor-led live session, attendees will learn how to manipulate and visualize data using the tools within the Tidyverse.

The Tidyverse is a suite of versatile R packages designed for cleaning, processing, modeling, and visualizing data. Key packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

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

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

• Conduct data analysis and produce engaging visualizations
• Derive meaningful insights from various sample datasets
• 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