Analysing Financial Data in Excel Training Course

This instructor-led, live training in Bulgaria (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 Bulgaria (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 encompasses solutions designed for the storage and processing of large-scale datasets. Originally developed by Google, these Big Data solutions have evolved and inspired numerous similar initiatives, many of which are released as open-source software. R has become a widely adopted programming language within the financial sector.

This instructor-led, live training in Bulgaria (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 graphical visualization. It is increasingly utilized by managers and data analysts within both corporate environments and academic institutions. Additionally, R has gained traction among statisticians, engineers, and scientists who, despite lacking formal programming expertise, appreciate its user-friendly interface. This widespread adoption is driven by the growing importance of data mining in achieving objectives such as optimizing pricing strategies, accelerating drug discovery, and refining financial models. R offers an extensive array of packages tailored for data mining tasks.

This instructor-led, live training in Bulgaria (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 concentrates on building practical skills for hands-on data analysis, empowering 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 Bulgaria (online or onsite) targets 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 used, open-source environment designed for statistical computing, data analytics, and graphics. This course provides students with an introduction to the R programming language. It covers fundamental language concepts, libraries, and advanced techniques. Participants will learn advanced data analytics and visualization using real-world datasets.

Audience

Developers and data analysts

Duration

3 days

Format

Lectures and Hands-on Practice

This instructor-led live training, conducted in Bulgaria (online or onsite), is intended for anyone eager to learn and master the fundamentals of econometric analysis and modeling.

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

• Learn and understand the core concepts of econometrics.
• Apply Eviews and risk simulators effectively.

This instructor-led, live training in Bulgaria (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 guided, live training session (available online or in-person) 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

• Engaging lectures and interactive discussions.
• Extensive exercises and hands-on practice.

Customization Options

• To arrange a tailored training program for this course, please contact us to discuss your specific needs.

Target Audience

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

It utilizes 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 compatible software (e.g., SAS, SPSS, Statistica, MINITAB, ...)

This instructor-led, live training session in Bulgaria (online or onsite) targets beginner to intermediate-level professionals who wish to utilize SPSS for statistical analysis 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 equipped with the skills to:

This instructor-led live session guides attendees through the process of manipulating and visualizing data using the tools provided by the Tidyverse.

Tidyverse is a comprehensive suite of versatile R packages designed for cleaning, processing, modeling, and visualizing data. Key packages within the suite include: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

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

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

• Conduct 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 plots, bar plots, and histograms
• Import and filter data from diverse sources, including Excel, CSV, and SPSS files