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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 33.18 C$ /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
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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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Vincent
With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

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✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

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🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

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Summarize a long newspaper article or document.

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

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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.

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

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Copyright: Who owns an image created by AI?

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The future: Will AI replace us or assist us?
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Ammar
Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
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SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
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• Python and SQL workflows
• Research and quantitative applications
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MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
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ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
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• How intelligent systems represent, classify, predict, and support decisions
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• Ontologies and structured knowledge
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• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
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• Applications in engineering, research, business, education, and professional decision making

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understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

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Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.
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