Practical Excel from beginner to advanced | Learn quickly with real-world examples

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From 17.97 £ /h

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

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

Skills

Computer science

Information technology

Numerical analysis

Availability of a typical week

(GMT -04:00)

New York

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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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.

Here are some key words that will be covered in my classes:
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

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

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Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
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Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

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• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
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I make the lecture material more understandable using concrete examples. I correct papers, explain the best methods to solve tasks or put up my own exercices to achieve the necessary level.

I help in interpreting the output of common statistical programs (R/RStudio, Jamovi, Jasp) or in carrying out entire analyses.

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Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
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Ideal and real gases: Equations of state, thermodynamic transformations.

4. Industrial sciences:
Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

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► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT

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.

For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results.

I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly.

► STATISTICS, DATA ANALYTICS & AI SUPPORT

► STATISTICS & PROBABILITY
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.

► APPLIED STATISTICS WITH R
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.

► QUANTITATIVE METHODS & RESEARCH STATISTICS
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.

► MACHINE LEARNING & AI FOUNDATIONS
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.

► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES
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.

► HOW I TEACH

► 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.

► I HELP STUDENTS CHOOSE THE RIGHT METHOD.
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.

► ONLINE LESSONS

► 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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People wishing to discover Moroccan culture.
Learners seeking patient, clear and motivating support.
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Structured course materials (PDF + exercises).
Audio recordings to improve pronunciation.
Mini real-life scenarios for practice.
Personalized support to progress with confidence.
📚 Simple, clear and effective method
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Data manipulation: Proficiency in essential packages (Tidyverse, dplyr).

Data Visualization: Creation of professional and impactful graphics.

Statistical Analyses: ANOVA, Linear Regressions, Statistics.

Multidimensional Methods: PCA (Principal Component Analysis) and Clustering.
session compositions:
✅ Practical approach based on real cases.
✅ Personalized support for your research projects.

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1. Algebra and linear algebra
The foundation of success in mathematics. General algebra: groups, rings, fields and arithmetic.
Linear algebra: Vector spaces, reduction of endomorphisms (diagonalization, triangularization), duality and quadratic forms.
2. Topology and Functional Analysis
Metric spaces and topology: open and closed sets, compactness, convexity.
Normed vector spaces: convergence of sequences, continuity and equivalence of norms.
Banach & Hilbert spaces: study of completeness, orthogonal projections, Riesz theorems and Fourier series.
3. Numerical Analysis: The art of solving mathematical problems using algorithms and high-performance computing.
Solving nonlinear equations: bisection, Newton-Raphson and fixed-point methods.
Numerical integration: rectangle rule, trapezoidal rule and Simpson's rule.
Numerical matrix analysis: solving systems of equations (Gauss, LU, Cholesky), eigenvalue calculations and conditioning.