Advanced Statistics using SPSS Predictive Analytics Software Training Course

This instructor-led, live training in Malaysia (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 Malaysia (online or onsite) is aimed at business analysts who wish to automate trade with algorithmic trading, Python, and R.

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

• Employ algorithms to buy and sell securities at specialized increments rapidly.
• Reduce costs associated with trade using algorithmic trading.
• Automatically monitor stock prices and place trades.

Big Data refers to frameworks designed for storing and processing large volumes of data. Initially developed by Google, these Big Data solutions have evolved and inspired numerous similar projects, many of which are now available as open-source software. R is a widely adopted programming language within the financial sector.

This instructor-led, live training in Malaysia (online or onsite) targets 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 an open-source, free programming language designed for statistical computing, data analysis, and graphics. Its user base is expanding among corporate managers and data analysts, as well as statisticians, engineers, and scientists who lack formal programming skills but appreciate its ease of use. The language's popularity stems from the growing application of data mining in diverse areas, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports this versatility through a wide array of packages tailored for data mining.

This instructor-led, live training in Malaysia (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 plays an essential role in modern business operations. Throughout this course, we will concentrate on building practical, hands-on skills for effective data analysis. The primary objective is to empower participants to provide evidence-based answers 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 in Malaysia (online or on-site) is designed for beginner-level professionals who wish 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 widely utilized, open-source environment designed for statistical computing, data analytics, and graphical representation. This course provides students with an introduction to the R programming language, encompassing its core fundamentals, library usage, and advanced concepts. Participants will explore advanced data analytics and graphing techniques utilizing real-world datasets.

Target Audience

Developers and data analysts

Duration

3 days

Format

Instructional lectures combined with practical, hands-on exercises

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.

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.

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