Statistics Training in Belgrade

This instructor-led, live training in Belgrade (online or on-site) is designed for intermediate-level engineers and designers who wish to utilize DFSS to embed quality into products or processes from the very beginning of the design phase.

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

• Understand the principles and concepts of Design for Six Sigma (DFSS).
• Learn the DMAIC (Define, Measure, Analyze, Improve, Control) and DMADV (Define, Measure, Analyze, Design, Verify) methodologies.
• Apply DFSS tools and techniques to design and optimize processes.
• Develop skills to manage and lead DFSS projects effectively.

This instructor-led live training in Belgrade (online or onsite) targets advanced professionals who wish to achieve an in-depth understanding of the Six Sigma DMAIC methodology at the Black Belt level.

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

• Develop a comprehensive understanding of the Define, Measure, Analyze, Improve, and Control phases, focusing on complex projects.
• Gain expertise in advanced statistical analysis techniques for data-driven decision-making.
• Lead large-scale Six Sigma projects and manage project teams effectively.
• Implement significant process improvements that align with organizational goals and strategies.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level professionals who wish to have a comprehensive understanding of the DMAIC methodology and prepare for the role of an effective Six Sigma Green Belts.

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

• Gain a thorough knowledge of the Define, Measure, Analyze, Improve, and Control phases of Six Sigma.
• Apply a wide range of Six Sigma tools and techniques effectively within each phase of DMAIC.
• Perform and interpret statistical analyses for process improvement.
• Plan, execute, and manage a Six Sigma project.

This instructor-led, live training delivered in Belgrade (online or onsite) is designed for beginner-level professionals who want to establish a fundamental understanding of Six Sigma and Lean principles. The objective is to integrate these methodologies to improve business processes.

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

• Gain a robust comprehension of Lean Six Sigma principles.
• Apply Six Sigma methodologies to enhance process quality by eliminating defect causes and reducing variability.
• Combine Lean and Six Sigma approaches to drive more efficient and effective process improvements.
• Utilize fundamental Lean Six Sigma tools and techniques, such as 5S, Kaizen, and process mapping, which Yellow Belts can implement in process improvement initiatives.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level professionals who wish to understand both Six Sigma and Lean principles in order to lead significant process improvement projects in their organizations.

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

• Develop a comprehensive understanding of how Lean and Six Sigma methodologies can be integrated for process improvement.
• Gain in-depth knowledge and application skills in the Define, Measure, Analyze, Improve, and Control phases.
• Apply advanced statistical tools for data-driven decision-making and process analysis.
• Lead and manage Lean Six Sigma projects effectively.

This instructor-led live training in Belgrade (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.

This instructor-led, live training in Belgrade (online or onsite) targets advanced-level professionals seeking to acquire the skills necessary to manage complex Six Sigma projects and assume leadership roles in Six Sigma and Lean initiatives.

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

• Gaining a profound understanding of advanced Six Sigma and Lean methodologies and tools.
• Leading complex process improvement projects that align with organizational strategies.
• Conducting complex statistical analyses and making data-driven decisions.
• Effectively driving change initiatives and fostering a culture of continuous improvement.

This instructor-led, live training in Belgrade (online or onsite) is designed for beginner-level professionals who wish to gain a deeper understanding of the Six Sigma methodology, its principles, and mastery of the DMAIC process.

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

• Acquire knowledge that extends beyond the basic principles taught in the White Belt course.
• Master the DMAIC process and gain proficiency with advanced Six Sigma tools.
• Understand how to effectively contribute to a Six Sigma project team and collaborate successfully with Green and Black Belts.
• Apply Six Sigma methodologies to real-world business processes to drive improvement.

This instructor-led live training in Belgrade (online or onsite) is designed for beginner-level professionals who want to gain a basic understanding of Six Sigma methodology and its principles.

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

• Understand the basics of Six Sigma and learn the DMAIC process.
• Understand the specific roles and responsibilities of a White Belt in the context of a Six Sigma project.
• Learn how to apply Six Sigma principles to identify improvement opportunities and support Six Sigma projects within an organization.

This instructor-led, live training in Belgrade (online or onsite) is designed for scientists who want to learn and apply Design of Experiments (DoE) to understand the cause-and-effect relationships among multiple factors.

Upon completing this training, participants will be able to:

• Recognize the benefits of using designed experiments compared to other methods.
• Identify cause-and-effect relationships and interactions between factors.
• Gain knowledge of best practices and guidelines for conducting successful experiments.

This instructor-led, live training in Belgrade (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.

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

Target Audience

This course is designed for analysts, researchers, scientists, graduates, and students, as well as anyone interested in mastering statistical analysis techniques within Microsoft Excel.

Course Objectives

The primary goal is to enhance your proficiency with Excel and statistical concepts, thereby boosting the effectiveness and efficiency of your professional work or academic research.

Participants will learn how to utilize Excel's Analysis ToolPak, apply statistical functions, and execute fundamental statistical procedures. The course also addresses common Excel limitations and provides strategies to mitigate them.

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

It is estimated that unstructured data accounts for more than 90 percent of all data, much of it in the form of text. Blog posts, tweets, social media, and other digital publications continuously add to this growing body of data.

This instructor-led, live course centers around extracting insights and meaning from this data. Utilizing the R Language and Natural Language Processing (NLP) libraries, we combine concepts and techniques from computer science, artificial intelligence, and computational linguistics to algorithmically understand the meaning behind text data. Data samples are available in various languages per customer requirements.

By the end of this training participants will be able to prepare data sets (large and small) from disparate sources, then apply the right algorithms to analyze and report on its significance.

Format of the Course

• Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding

Target Audience

Financial or market analysts, managers, accountants

Course Objectives

Facilitate and automate all kinds of financial analysis with Microsoft Excel

This instructor-led, live training in Belgrade (online or onsite) is aimed at data analysts who wish to program in R for Excel.

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

• Toggle and move data between Excel and R.
• Use R Tidyverse and R features for data analytic solutions in Excel.
• Extend their data analytical skills by learning R.

R is a widely adopted programming language within the financial sector. It powers financial applications spanning from core trading systems to sophisticated risk management tools.

Through this instructor-led live training, participants will acquire the skills necessary to use R for developing practical applications that address various specific challenges in finance.

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

• Grasp the fundamental concepts of the R programming language
• Choose and apply R packages and techniques to organize, visualize, and analyze financial data from diverse sources (CSV, Excel, databases, web, etc.)
• Develop applications that resolve issues related to asset allocation, risk analysis, investment performance, and more
• Troubleshoot, integrate, deploy, and optimize R applications

Audience

• Developers
• Analysts
• Quants

Course Format

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

Note

• This training is designed to offer solutions to some of the key problems encountered by finance professionals. If there is a particular topic, tool, or technique you wish to expand upon or add, please contact us to arrange it.

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.

This instructor-led, live training in Belgrade (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.

Objective:

To master the ability to work independently with SPSS for advanced applications, including the use of dialog boxes and command language syntax for selected analytical techniques.

Target Audience:

This training is designed for analysts, researchers, scientists, students, and anyone seeking to acquire the skills to use the SPSS package at an advanced level and understand selected statistical models. The course addresses universal analytical problems and can be tailored to specific industries.

This instructor-led, live training in Belgrade (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.

Audience:

This course is designed for IT professionals seeking solutions for storing and processing large-scale datasets within distributed system environments.

Goal:

To provide in-depth knowledge regarding the administration of Hadoop clusters.

This instructor-led live training in Belgrade (online or onsite) is designed for intermediate-level data scientists and statisticians aiming to prepare data, build models, and effectively apply machine learning techniques in their professional roles.

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

• Understand and implement various Machine Learning algorithms.
• Prepare data and models for machine learning applications.
• Conduct post hoc analyses and visualize results effectively.
• Apply machine learning techniques to real-world, sector-specific scenarios.

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 Belgrade (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 Belgrade (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.

This instructor-led, live training in Belgrade (online or onsite) is aimed at beginner-level professionals who wish to gain a mastery of the fundamentals of R and how to work with data.

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

• Understand the R programming environment and RStudio interface.
• Import, manipulate, and explore datasets using R commands and packages.
• Perform basic statistical analysis and data summarization.
• Generate visualizations using both base R and ggplot2.
• Manage workspaces, scripts, and packages effectively.

R is an open-source, freely available programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly adopted by managers and data analysts within both corporate environments and academic institutions. R offers a comprehensive array of packages tailored for data mining tasks.

This course is intended for people that already have a background in data science and statistics. The explanations given are designed to either serve as a reminder to those that are already familiar with the concepts or inform those with a suitable background.

This instructor-led live training held in Belgrade (available online or onsite) is aimed at data scientists who want to utilize Python and R to extend KNIME's functionality.

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

• Plan, build, and deploy machine learning models in KNIME.
• Make data driven decisions for operations.
• Implement end to end data science projects.

This program offers a thorough overview of Minitab, a robust statistical software tool utilized for data analysis and quality enhancement. Participants will acquire skills in importing, modifying, and analyzing data, as well as creating fundamental visual representations. Upon completion, attendees will be capable of conducting essential statistical procedures using Minitab, including hypothesis testing and calculating confidence intervals.

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 course is designed for anyone interested in statistical analysis. It provides familiarity with Minitab and will increase the effectiveness and efficiency of your data analysis and improve your knowledge of statistics.

R is a free, open-source programming language designed for statistical computing, data analysis, and graphical representation. It is increasingly utilized by data analysts and managers across both corporate environments and academic institutions. R offers an extensive range of packages tailored for data mining tasks.

During this instructor-led, live training, participants will acquire advanced techniques for Machine Learning using R while building a real-world application step-by-step.

Upon completing this course, participants will be capable of:

• Grasping and implementing unsupervised learning techniques
• Utilizing clustering and classification methods to generate predictions from real-world data
• Visualizing data to rapidly extract insights, inform decisions, and further refine analysis
• Enhancing machine learning model performance through hyper-parameter tuning
• Deploying models into production for integration into larger applications
• Applying advanced machine learning techniques to address challenges related to social network data, big data, and other domains

R is an open-source, free programming language designed for statistical computing, data analysis, and graphics. Its user base is expanding rapidly among corporate managers and data analysts, as well as statisticians, engineers, and scientists who value its accessibility despite having limited programming experience. The growing popularity of R stems from its essential role in data mining for objectives such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R supports a vast ecosystem of packages tailored for data mining tasks.

This instructor-led, live training in Belgrade (online or onsite) is aimed at professionals who wish to use R to perform statistical testing and data analysis.

By the end of this training, participants will be able to: install and configure R, perform statistical tests, interpret results, and apply analysis to real-world datasets.

This instructor-led, live training in Belgrade (online or onsite) is aimed at process department personnel and operations team members who wish to master practical process improvement techniques using Six Sigma principles and BPMN 2.0 modeling.

This instructor-led, live training in Belgrade (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.

This instructor-led live training (online or onsite) is designed for beginner to intermediate analysts, researchers, and professionals who want to utilize SPSS for data preparation, statistical analysis, and predictive modeling.

This course is designed for decision-makers whose primary objective is not to perform calculations or statistical analysis themselves, but to comprehend these processes and effectively select the appropriate statistical methods for their organization's strategic planning.

For instance, a participant might need to determine the necessary sample size to decide whether to launch a new product.

If you require a more comprehensive program covering the fundamentals of statistical thinking, please consider our 5-day "Statistics for Managers" training.

This course is designed for individuals seeking to develop fundamental statistical competencies. It can be customized to align with specific professional domains such as market research, biology, manufacturing, or public sector analysis.

This training program explores advanced statistical concepts. It details the majority of tools frequently employed in research, analysis, and forecasting. The course offers concise explanations of the theoretical foundations underlying the formulas used.

While the course content is not tied to any specific discipline, it can be customized for groups of participants who share a common background and objectives.

The training utilizes basic computer software (primarily Excel and OpenOffice) for demonstrations and exercises.

This course provides researchers with a comprehensive understanding of the principles underlying statistical design and analysis, highlighting their critical application across various scientific disciplines.

The curriculum covers key probability and statistical methods, primarily illustrated through practical examples. The training structure consists of approximately 30% lectures and 70% guided quizzes and laboratory exercises.

For customized courses, examples and materials can be tailored to specific fields such as psychology, public sector analytics, biology, genetics, and others.

Public courses utilize a mix of diverse examples to ensure broad applicability.

While the course employs various software tools, ranging from Microsoft Excel to SPSS and Statgraphics, the primary emphasis remains on grasping the fundamental principles and processes that guide research, reasoning, and conclusion-drawing.

This course is also available as a blended learning program, incorporating homework and assignments.

This instructor-led, live training in Belgrade (online or onsite) is aimed at advanced-level data professionals who wish to use Tableau to build complex visualizations, optimize dashboards, and perform advanced data analysis.

By the end of this training, participants will be able to: install and configure Tableau for advanced use, create advanced calculations, design interactive dashboards, and optimize performance.

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate-level data professionals who intend to use Tableau to generate advanced visualizations and dashboards for data-driven decision-making.

By the conclusion of this training, participants will be able to: construct advanced charts, utilize calculated fields and parameters, design interactive dashboards, and effectively disseminate insights.

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

This live, instructor-led training conducted in Belgrade (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.

Intended Audience

• managers
• developers
• scientists
• students

Course Format

online instruction and discussion OR in-person workshops