Minitab for Beginners Training Course

This instructor-led, live training in Serbia (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 Serbia (online or onsite) is designed for business analysts who wish to automate their trading using algorithmic strategies, 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.
• Lower the costs associated with trading through the use of algorithmic techniques.
• Automatically track stock prices and execute trades.

Big Data denotes solutions designed for the storage and processing of extensive datasets. Initially developed by Google, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a widely used programming language in the financial sector.

This instructor-led, live training in Serbia (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 an open-source, free programming language designed for statistical computing, data analysis, and graphical visualization. It is increasingly adopted by managers and data analysts within both corporate environments and academia. Additionally, R has gained popularity among statisticians, engineers, and scientists who may lack formal computer programming skills, thanks to its user-friendly nature. The tool's widespread adoption stems from the growing reliance on data mining for diverse objectives, such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R boasts a comprehensive ecosystem of packages tailored for data mining.

This instructor-led, live training in Serbia (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 instructor-led live training in Serbia (online or onsite) targets beginner-level professionals who want 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 recognized, open-source platform designed for statistical computing, data analysis, and visualization. This course provides students with an introduction to the R programming language, covering fundamental syntax, essential libraries, and advanced techniques. Participants will learn to perform sophisticated data analytics and create graphs using real-world datasets.

Target Audience

Developers and data analytics professionals

Duration

3 days

Course Format

Lecture-based instruction combined with hands-on practice

This instructor-led, live training in Serbia (online or on-site) is designed for 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 live, instructor-led training conducted in Serbia (online or on-site) is designed for intermediate-level data analysts and business professionals who want 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 (online or onsite) is designed for HR professionals who want to leverage analytical methods to enhance organizational performance. The curriculum encompasses both qualitative and quantitative approaches, including empirical and statistical techniques.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.

Course Customization Options

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

Target Audience

This course is designed for analysts and forecasters who wish to introduce or enhance their forecasting capabilities, with applications in sales forecasting, economic forecasting, technology forecasting, supply chain management, and demand or supply forecasting.

Course Description

This course leads participants through a variety of methodologies, frameworks, and algorithms that are essential for making accurate predictions based on historical data.

The instruction utilizes standard tools such as Microsoft Excel and various Open Source programs, particularly the R programming language.

The principles taught in this course can be applied using any compatible software, such as SAS, SPSS, Statistica, or MINITAB.

This instructor-led, live training in Serbia (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.

Target Audience

Course Format

By the conclusion of this training, learners will be capable of:

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

The Tidyverse comprises a suite of flexible 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 programming language
• Novices in data analysis and data visualization

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

• Conduct data analysis and produce compelling visualizations
• Extract meaningful insights from various sample datasets
• Filter, sort, and summarize data to address exploratory queries
• Transform processed data into informative line plots, bar plots, and histograms
• Import and filter data from diverse sources, such as Excel, CSV, and SPSS files