Advanced Statistics using SPSS Predictive Analytics Software Training Course

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

Upon completing this training, participants will be able to:

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

Big Data encompasses solutions designed for the storage and processing of vast datasets. Originally pioneered by Google, these Big Data frameworks have evolved and inspired numerous similar open-source projects. R has established itself as a preferred programming language within the financial sector.

This instructor-led, live training in Norway (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 visualization. Its adoption is expanding among corporate managers, data analysts, and academic researchers. Additionally, R has gained a following among statisticians, engineers, and scientists who may lack formal programming training but appreciate its user-friendly nature. This growing popularity stems from the increasing reliance on data mining to achieve diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports these efforts through a comprehensive ecosystem of packages tailored for data mining.

This instructor-led live training in Norway (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 crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to 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 guided, live training in Norway (available online or at your location) targets professionals at the beginner level who want to learn how to clean and analyze data, forecast statistical trends, and generate meaningful visual representations using these tools.

Upon completing this training, attendees will be capable of:

• Gaining foundational knowledge of Python, R, Power Query, and Power BI for data analysis.
• Cleaning and organizing datasets using Python and Power Query.
• Executing statistical analysis and forecasting with R.
• Developing professional dashboards and reports using Power BI.
• Effectively integrating and analyzing data from various sources.

R is a widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course provides an introduction to the R programming language, covering essential language fundamentals, libraries, and advanced concepts. Participants will explore advanced data analytics and graphing techniques using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Format

Interactive lectures combined with hands-on exercises

This instructor-led, live training in Norway (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 Norway (online or onsite) is intended for intermediate-level data analysts and business professionals seeking to perform time series forecasting and automate data analysis workflows using R.

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

• Grasp the fundamentals of forecasting techniques in R.
• Apply exponential smoothing and ARIMA models for time series analysis.
• Leverage the 'forecast' package to create accurate forecasting models.
• Automate forecasting workflows for business and research applications.

This instructor-led, live training (online or onsite) is aimed at HR professionals who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.

Course Customization Options

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

Audience

This course is designed for analysts and forecasters who wish to initiate or enhance their forecasting capabilities. It covers areas such as sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.

Description

Participants will be guided through a series of methodologies, frameworks, and algorithms that are essential for predicting future trends based on historical data.

The course utilizes standard tools such as Microsoft Excel or various Open Source programs, particularly the R project.

The principles taught in this course can be applied across any software platform, including SAS, SPSS, Statistica, MINITAB, and others.

This instructor-led, live training in Norway (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.

Target Audience

Course Format

Upon completing this training, participants will be capable of:

In this instructor-led, live training session, attendees will acquire the skills to manipulate and visualize data using the tools provided within the Tidyverse.

The Tidyverse comprises a suite of flexible R packages designed for data cleaning, processing, modeling, and visualization. Key packages include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

• Individuals new to the R programming language
• Those new to data analysis and visualization techniques

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

• Execute data analysis and produce compelling visualizations
• Derive meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory questions
• Convert processed data into informative line charts, bar charts, histograms, and other plots
• Import and filter data from diverse sources, such as Excel, CSV, and SPSS files