Explore Our Courses

Excel Modelling

7 Hours
This instructor-led, live training in Guatemala (online or onsite) is aimed at data analysts or anyone who wishes to learn how to use Excel for creating data models for data analysis. By the end of this training, participants will be able to:
  • Learn to analyze and solve any business problems using structured problem-solving tools.
  • Navigate Excel tools with ease.
  • Set up, format, and present data effectively.
  • Understand the logical structure and apply correct functions to Excel models.
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Microsoft Office Excel - intermediate level

14 Hours
Excel is a popular spreadsheet program created by Microsoft. It is used to store, organize and analyze data in tabular form. Here are some key features and functions of Excel: 1. Spreadsheets: It consists of sheets, where each sheet is an array consisting of cells arranged in rows and columns. It allows you to create multiple sheets in one file, which allows you to organize different data sets. 2. Calculations and Formulas: Allows you to perform a variety of mathematical, statistical and logical calculations using formulas. It has a wide set of built-in functions such as SUM, AVERAGE, MAX, MIN, IF, VLOOKUP, etc. 3. Data Formatting and Appearance: Provides tools for formatting data, including changing font, color, style, and creating charts, pivot tables and diagrams. 4. Sorting, Filtering and Grouping: Allows you to sort data according to specific criteria. Allows you to filter data to display only selected information. Possibility to group data depending on needs. 5. Data analysis: Tools for performing advanced analyzes such as scenario analysis, trends, forecasting, and creating macros. 6. Data Sharing: Enables real-time data sharing and collaboration, allowing multiple users to work on the same data simultaneously. 7. Task automation: Ability to create macros and automate tasks using the programming language VBA (Visual Basic for Applications). Excel is widely used in various fields, from business to science and education. Its comprehensive features enable data analysis, creation of reports, budgets, schedules, data management and many other applications.
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Excel VBA Introduction

14 Hours
This instructor-led, live training in Guatemala (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks. By the end of this training, participants will be able to:
  • Record and edit macros as required.
  • Write procedures using data from the sheet.
  • Create your own functions.
  • Handle an event (opening worksheet cell update etc.) by means of the handler.
  • Create a form.
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Excel For Statistical Data Analysis

14 Hours
Audience Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel. Course Objectives This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research. This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
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Excel to Power BI

7 Hours
This instructor-led, live training in Guatemala (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI. By the end of this training, participants will be able to:
  • Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
  • Use DAX formulas in Power BI for complex calculations.
  • Create and use visualizations and charts for particular analysis cases.
  • Import with Power View to move from Excel based Power BI to independent Power BI.
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Financial Analysis in Excel

14 Hours
During the training, will present the issues of financial analysis using the advanced features of Excel. This course is intended for financial analysts, accountants and all those who want to expand their skills spreadsheet with issues of financial analysis.
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R Programming for Excel

21 Hours
This instructor-led, live training in Guatemala (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.
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Data Mining with Excel

14 Hours
This instructor-led, live training in Guatemala (online or onsite) is aimed at data scientists who wish to use Excel for data mining.
  • By the end of this training, participants will be able to:
  • Explore data with Excel to perform data mining and analysis.
  • Use Microsoft algorithms for data mining.
  • Understand concepts in Excel data mining.
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Python for Excel

14 Hours
In this instructor-led, live training in Guatemala (onsite or remote), participants will learn how to combine the capabilities of Python and Excel. By the end of this training, participants will be able to:
  • Install and configure packages for integrating Python and Excel.
  • Read, write, and manipulate Excel files using Python.
  • Call Python functions from Excel.
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Visual Basic for Applications (VBA) for Analysts

21 Hours
The course is designed for users of Excel for creating analyzes and reports.
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Excel and VBA Programming for Audit and Finance Professionals

28 Hours
Please answer the following questions:
  • Is your daily work in Excel is a never-ending string of commands copy-paste?
  • Are you wasting time on repetition of similar operations to prepare the data for analysis?
  • Do you know all the keyboard shortcuts in Excel, but you are not satisfied with the results?
  • Rather than deal with data analysis and preparation of wasting time?
  • Do you have to manually verify the correctness of such data obtained from different systems?
  • Do you have to stay at work after hours or Excel to take books home because not doing during the day?
  • Is Your job is to prepare reports based on a large data set?
  • Do you feel that working in Excel, you come to a roundabout way of results?
If you can answer YES to one of the questions then it's time stop this nightmare. This training is for you. Find out how you can speed up your daily operations and get most out of MS Excel. WARNING After the training, your life will change dramatically. Activities, which occupied the whole day will take just a few moments. Are you ready for this?
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Microsoft Office Excel - moduł Business Intelligence

14 Hours
Excel is a versatile tool that has been widely used in various areas, from data analysis to project management. Its flexibility and ease of use make it a popular tool for working with data and analysis in many fields. Excel allows you to create spreadsheets in which you can enter data, calculate formulas, analyze data and present results in the form of tables, charts or reports. It has a rich set of built-in mathematical, statistical and financial functions that facilitate calculations and data analysis. It allows you to generate various types of charts (e.g. bar, line, pie) based on data from the spreadsheet, which helps you visualize and present data. Excel offers tools for sorting, filtering, grouping data, as well as creating pivot tables and preliminary data analysis. It is used in business for budgeting, planning, tracking expenses, analyzing sales, creating financial reports, etc. It can be used to create schedules, project plans, manage tasks and track progress.
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Excel Data Analysis

14 Hours
This instructor-led, live training in Guatemala (online or onsite) is aimed at beginner-level to intermediate-level business analysts and data analysts who wish to use Excel to perform data analysis and reporting for their projects and tasks. By the end of this training, participants will be able to:
  • Use Excel formulas and functions to perform calculations and data manipulation.
  • Use Excel data analysis tools such as PivotTables, What-If Analysis, and Forecasting to summarize and visualize data.
  • Use Excel charts and graphs to create and customize data visualizations.
  • Use Excel data validation and conditional formatting to ensure data quality and highlight data insights.
  • Use Excel data import and export features to connect to external data sources and share data with others.
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Testimonials(25)

Trainer flexibility. Comprehensive answers to every question.

Krystyna Szpala - Sogecap SA Branch in Poland
Course - Visual Basic for Applications (VBA) for Analysts

Machine Translated

The training was perfect in my opinion, opened my eyes to a lot of things that I was not aware of. Straight to the point with a lot of exercises, for some people it was too fast maybe but due to my background experience I did not feel that way.

Maen Hatoum - Red Bull GmbH
Course - Visual Basic for Applications (VBA) for Analysts

The specialist knowledge was amazing! The way that you took that and broke it up, so we could understand was awesome. I think i just have to start with the simple stuff. the Last Subject was a bit high level and I struggled to keep up but will get there :)

Zaskia Stanz - BMW
Course - Visual Basic for Applications (VBA) for Analysts

Detailed examples & training material.

KAREN LOUW - BMW
Course - Visual Basic for Applications (VBA) for Analysts

He was prepared and also give good pointers

Annemarie Van Aardt - BMW
Course - Visual Basic for Applications (VBA) for Analysts

'Fun facts' - how to achieve the same the other way around.

Paulina - Noble Drilling Poland
Course - Microsoft Office Excel - poziom średnio zaawansowany

The knowlegable trainer that was ready to answer all the most stupid questions, The training was well designed to our department needs and trainer was flexible with the subjects and timings.

Katarzyna - Noble Drilling Poland
Course - Microsoft Office Excel - poziom średnio zaawansowany

useful functions and their application to daily tasks, possibility of improving the presentation of various values by using advanced graphs

Alicja - Noble Drilling Poland
Course - Microsoft Office Excel - poziom średnio zaawansowany

Lecturer's openness

Natalia - Noble Drilling Poland
Course - Microsoft Office Excel - poziom średnio zaawansowany

Machine Translated

Useful keyboard shortcuts, nesting of formulas, references to possible automations in VBA.

Rafał - LKQ Polska Sp. z o. o.
Course - Microsoft Office Excel - poziom średnio zaawansowany

Machine Translated

I liked the large number of tasks and the friendly atmosphere.

Paulina - LKQ Polska Sp. z o. o.
Course - Excel Data Analysis

Machine Translated

Very good contact with participants

Michał - LKQ Polska Sp. z o. o.
Course - Excel Data Analysis

Machine Translated

Time for exercise and ongoing support.

Łukasz - LKQ Polska Sp. z o. o.
Course - Excel Data Analysis

Machine Translated

The trainer's knowledge and approach. In case of problems, he was able to effectively pinpoint the cause and provide a solution

Bartosz - LKQ Polska Sp. z o. o.
Course - Excel Data Analysis

Machine Translated

Reliable preparation of the trainer for training. Interesting examples.

Sandra - LKQ Polska Sp. z o. o.
Course - Excel Data Analysis

Machine Translated

Trainer's knowledge and experience.

Paweł Dykowski - LKQ Polska Sp. z o. o.
Course - Excel Modelling

learned new things

Daria Pawlak - LKQ Polska Sp. z o. o.
Course - Excel Modelling

Great pace during the training. very knowledgeable and teaching style

James - Gilead Sciences Ireland
Course - Excel to Power BI

I thought the trainer was very patient and had a lot of knowledge.

Sinead Goss - Health Service Executive
Course - Excel to Power BI

The time given to do each exercise after they were given.

Claire Delaney - Health Service Executive
Course - Excel to Power BI

interesting training

christina Doyle - Health Service Executive
Course - Excel to Power BI

I like how clearly everything was explained and the excercises

Claire Delaney - Health Service Executive
Course - Excel to Power BI

1. Clear theoretical explanation of concepts and alternatives to problem solving. 2. Practical examples where concepts are, and can be applied. 3. I learnt skills that I can use in my job, which will make some of my work easier 4. It will definitely bring some innovation into some of the reports I prepare for different Committees.

Sindiso Ndlovu - Export Credit insurance corporation
Course - Excel For Statistical Data Analysis

Working on and using our own data/spreadsheets, where we could see how it would benefit us most.

Julie - Environment, Marine and Fisheries
Course - Excel VBA Introduction

Knowledge, substantive content, contact with others, willingness to help even with trivial problems, ability to interest listeners.

Michał
Course - Python for Excel

Machine Translated

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