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Since April 2026
Instructor since April 2026
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Practical Excel from beginner to advanced | Learn quickly with real-world examples
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From 20 € /h
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Learn Excel in a practical way, focused on real-world work situations. This isn't a theoretical course: from the very first class, you'll work with applied exercises that will help you gain confidence and improve your professional profile.

It is aimed at people who want to start from scratch or improve their level of using Excel in their work, studies or personal projects.

In classes you will learn to:

Master Excel from basic to intermediate/advanced level
Use key formulas such as SUM, IF, VLOOKUP/XLOOKUP
Create pivot tables to analyze information
Clean and organize data efficiently
Design clear reports and basic dashboards
Applying Excel to real-world business cases

The classes are personalized according to your level and goals. We can work with your own files or with practical exercises that simulate real-life situations.

My approach is for you to learn quickly, understand what you're doing, and be able to apply it immediately.

I'm an Electronics Engineer with experience in data analysis and marketing analytics. I've worked with tools like Excel, Power BI, and RapidMiner on real-world projects, so I can teach you not only "how" but also "why" to use Excel in the workplace.
Extra information
The classes are 100% practical and personalized according to your level and objective (work, studies or personal projects).

No prior experience is necessary. If you already have knowledge, we adapt the content to what you need to learn (pivot tables, formulas, dashboards, etc.).

You can work with your own files or with real exercises that I provide.

I offer:

Supporting material in Excel
Practical exercises
Follow-up between classes if you need it

My goal is for you to learn to use Excel in a useful and applicable way from the first session.
Location
location type icon
Online from Spain
About Me
I am an Electronic Engineer with over 8 years of experience in business, project management, and data analysis. I work with tools like Excel, Power BI, and data analytics solutions to support decision-making in real business environments.

I am passionate about teaching in a practical and simple way. My goal is not only for you to learn Excel, but to understand how to apply it in real work situations, studies, or personal projects.

I have experience working with students and professionals who want to improve their Excel skills to grow in their careers, organize their data, or complete academic projects.

My lessons are fully personalized based on your level and goals. From the first session, we work with real-life exercises so you can immediately apply what you learn.

If you are looking for practical, clear, and results-oriented Excel lessons, I will be happy to help you.
Education
Electronic Engineering (Industrial Automation focus)
Master’s Degree in Marketing – Universidad de los Andes

Additional training in Data Analysis, Marketing Analytics, and tools such as Excel, Power BI, and RapidMiner
Experience / Qualifications
Over 8 years of experience in technical sales, project management, and data analysis

Experience as a teaching assistant in Marketing Analytics courses (graduate and postgraduate levels), supporting students in data analysis and decision-making

Hands-on experience in real data projects, including customer segmentation and data visualization

Experience teaching students and professionals how to use Excel in a practical, real-world context
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
Spanish
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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As an engineer, I would like to help other students navigate the sometimes complex world of mathematics and physics. During my studies, I tutored for 6 years in secondary schools in the region of The Hague, Delft, Rotterdam and Antwerp. I try to go through the course material interactively with the student and link theoretical concepts as much as possible to examples from our daily lives in order to prepare and motivate the student.

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As a highly qualified maths teacher, a graduate of the college of teachers and with 11 years of teaching experience in public high schools, I am happy to offer tutoring lessons in mathematics at home for students from level T and Common Core Sciences, TC Technological, 1st Baccalaureate Experimental Sciences and final of all the sectors (SVT-PC-SC.Math-L), as well as for the classes of 2nd and 1st general, Terminale specialty of the French system, as well than the 5th, 4th and 3rd levels of college.

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As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

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Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

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The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
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• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

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► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
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I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

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I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas.

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I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step.

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I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly.

► DATA ANALYTICS & DATA SCIENCE
I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions.

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For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models.

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I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks.

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► I FOCUS ON REAL STATISTICAL UNDERSTANDING.
Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly.

► I EXPLAIN FORMULAS STEP BY STEP.
Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly.

► I CONNECT THEORY WITH R PRACTICE.
Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language.

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Many students struggle with deciding whether to use a t-test, chi-square test, ANOVA, regression or another method. I teach students how to recognise the correct approach from the question or dataset.

► I TRAIN INTERPRETATION AND EXAM TECHNIQUE.
Students learn how to structure statistical answers, write clear conclusions, explain p-values, interpret confidence intervals and present results professionally.

► I ADAPT EVERY LESSON TO THE STUDENT.
Some students need help with theory, others with R coding, assignments, research projects or exam preparation. I adjust every lesson to the student’s exact course, level and goals.

► YEARS OF EXPERIENCE WITH STATISTICS, DATA & UNIVERSITY STUDENTS

Over the years, I have successfully supported students from demanding academic programmes, helping them strengthen their statistical understanding, improve their analytical thinking and achieve excellent progress in Statistics, Data Analytics, Machine Learning and AI.

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► Interactive whiteboard
► Clear digital notes
► Step-by-step statistical explanations
► R support for data analysis
► Exam preparation
► Assignment and project guidance
► Practical examples with real datasets
► Focused one-to-one support from Switzerland

► MY GOAL

My goal is not only to help students pass exams or complete assignments, but to help them truly understand Statistics. With the right guidance, statistical methods become logical, practical and much easier to apply.

► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics
► MAIN TOOL: R
► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training
► FORMAT: Online tutoring from Switzerland
► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.
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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
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With a doctorate in mathematics and experience as a university lecturer, I have dedicated several years to teaching students in France and internationally. I support students of varying levels, emphasizing a clear, progressive, and comprehension-focused approach.
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I specialize in teaching Computer Science, Programming, and Full Stack Development to students of all levels — from absolute beginners to advanced learners and working professionals.

In my classes, you will learn not just theory, but practical, real-world skills that are actually used in the software industry. My goal is to make complex concepts simple, structured, and easy to understand, while keeping you consistently challenged without feeling overwhelmed.
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This course is designed to give students practical and in-demand digital skills in Computer Science, Graphic Design, and Music Composition. Whether you are a beginner or looking to improve your existing knowledge, this class provides a hands-on learning experience focused on real-world applications.

In Computer Science, you will learn the fundamentals of computing, including Microsoft Office tools, basic programming concepts, and how to use technology effectively for productivity and problem-solving.

In Graphic Design, you will explore creative design principles and learn how to create visually appealing content using modern design tools. You will gain skills in image editing, layout design, and digital creativity useful for branding, social media, and professional projects.

In Music Composition, you will be introduced to the basics of creating and arranging music. This includes understanding sound, rhythm, and using digital tools to produce and edit audio, helping you bring your musical ideas to life.

By the end of this course, you will have developed a strong foundation across these three areas, with practical skills you can apply academically, professionally, or for personal projects.
Good-fit Instructor Guarantee
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