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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since July 2022
Instructor since July 2022
Translated by GoogleSee original
Python R SQL SAS Programming Course Data Analysis
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From 29 € /h
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I offer support for professionals, high school students, students in preparatory classes, faculty and engineering school, I also offer python and machine learning / data science courses for professionals looking to get up to speed.

I am available for regular follow-up to achieve medium/long term goals and also for occasional interventions, particularly when it comes to preparing for exams or catching up.

For students :
We will first start by clarifying your situation and your expectations. The session will take place as follows:

Clarify the lesson seen in class and answer any questions you may have prepared before the session. After making sure that you have retained the course, we move on to the exercises, I suggest you start with the classics which allow you to understand the usefulness and use cases of the theorems and tricks. For students with more specific requests, I adopt a pragmatic approach based on the annals / TDs to allow you to validate / improve your results.

For professionals :
Start by clarifying your expectations and then establish a roadmap. Go through the basics of defining a Data Science project (probability and statistics). After having built a solid base, we discover concrete and specific subjects similar to those dealt with in business.
Extra information
I move at your pace. Complete course or help for a project
Location
location type icon
Online from France
About Me
I am passionate about the transmission of knowledge. It is always a pleasure to discuss data.

I advance at your pace and I don't make any secrets about the tool and I am concerned about your satisfaction and the quality of the work.
It's your turn to discover my method and to love it!

With me, we do more than validate!
Education
Master 2 in Econometrics and Statistics (University of Lille)
M.Sc in Management DataScience and Business Analysis (EDC Paris Business School)
Experience / Qualifications
7 years of experience as a trainer.
Professional experiences:
American Express (Risk Analyst)
Habitat for Humanity (Database Specialist)
Population Services International (Data Quality Assurance Officer)
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
The class is taught in
French
English
Reviews
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
Excel is a powerful tool and used in almost every business.
My lessons are for all levels: beginner, intermediate or advanced.

STUDENTS AND PROFESSIONALS

to all sectors: administration, accounting, purchasing, logistics, finance, engineering, HR, education...

to all trades: executive assistant, salesperson, employee, supervisor, project manager, manager, entrepreneur, director...

My lessons take place face-to-face or remotely on Zoom, all with a lot of lightness :) no loss of energy because we will directly approach theory and practice on the concepts that interest you. We will always favor the simplest method to remember to solve a problem.

You will also find a detailed program below.

My teaching philosophy can be summed up in 3 words:
Discover, Understand, Remember.

Many practical exercises are available, concrete and adapted to the learner's environment because repetition reinforces!

My teaching asset is the clarity of explanation because I systematically use many examples as well as images or diagrams.

The courses and concepts covered are always preceded by:
"What is it for? Why do it? When to do it? Who can do it? and How to do it?"

I insist on the "business" aspect of the learner and adapt to his needs with the possibility of working on the student's files.

I attach extreme importance to the visual rendering because I think that what differentiates:
the "good" result and the "best" result...
it's the detail!

Color consistency and intuitiveness.
Precise, clear and refined data like Alaska!

The sessions will always include various time-saving tips (shortcuts, methods and others). We focus on the strengths of Excel that will really serve in the field.

The 3 objectives for the learner are: self-confidence, fluidity, total autonomy.

The lessons are optimized because the explanatory notes and the follow-up of each lesson are entered directly by myself under the eyes of the student. Thus, the learner remains focused and the risk of errors in note taking will be eliminated.

Build a program tailored to the student

My teaching experience and my sociability will naturally accompany each session.
Read more
MATHEMATICS, COMPUTING, DATA ANALYSIS.

I offer support for middle and high school students, students in preparatory classes, faculty and engineering school, I also offer python and machine learning/data science courses for professionals looking to get up to speed.

I am available for regular follow-up to achieve medium/long term goals and also for occasional interventions, particularly when it comes to preparing for exams or catching up.

For students :
We will first start by clarifying your situation and your expectations. The session will take place as follows:

Clarify the lesson seen in class and answer any questions you may have prepared before the session. After making sure that you have retained the course, we move on to the exercises, I suggest you start with the classics which allow you to understand the usefulness and use cases of the theorems and tricks. For students with more specific requests, I adopt a pragmatic approach based on the annals / TDs to allow you to validate / improve your results.

For professionals :
Start by clarifying your expectations and then establish a roadmap. Go through the basic elements to define a Data Science project (probability and statistics). After having built a solid base, we discover concrete and specific subjects similar to those dealt with in business.
Read more
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I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

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- Learning and projects in Java, C, Scala, Python, SQL, VHDL, etc...

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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.
verified badge
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### **1: Demystifying Artificial Intelligence (What Exactly Is It?)**

* **Artificial intelligence is not a "movie robot":** The fundamental difference between science fiction and practical reality.
* **How it works (simply):** Imagine a "giant library"; AI has read billions of books and uses them to predict the completion of a sentence or create a new image.
* **Where do we use it now?** The spell checker, Netflix and YouTube suggestions, GPS navigation, and voice assistants such as Siri and Alexa.

---

### **2: Using artificial intelligence to make your life easier**

* **Interacting with artificial intelligence (ChatGPT, Cloud, Gemini):**
* Writing formal emails or complex letters.
* Summarizing long articles or huge documents.
* Plan travel itineraries or create food recipes from ingredients available in the refrigerator.


* **Creativity and Memory:**
* Create creative images for greeting cards (via Midjourney or DALL-E).
Restoring and coloring old family photos.

3: The art of speaking to the machine (the Prompt skill)**

* **Context Style:** Why is the phrase "Give me a cake recipe" less effective than "I have a gluten allergy and I'm having 4 people, give me a simple chocolate cake recipe".
* **Role-taking:** Learn to ask the artificial intelligence to "speak like a tourism expert" or "answer me like a specialized agricultural engineer."

4: Precautions and Critical Thinking (A Survival Guide)**

Digital hallucinations:** Understand that artificial intelligence may confidently present false information (never rely on it for medical or legal advice without verification).
Privacy protection
Do not share sensitive data (ID numbers, passwords, bank details).
Be aware that everything you write may be used to train systems in the future.

Detecting deepfakes:**
How to identify fake photos or videos (examine hand details, strange reflections, or metallic sound).
* The golden rule: Verify by cross-referencing different sources.

5: Ethics and Impact (A Future Perspective)**

Copyright: Who owns the image created by artificial intelligence?
Environmental impact: Water and energy consumption in large data centers.
The future: Will artificial intelligence replace us or will it be an assistant to us?

Additional tip:** Since you are targeting the Gulf region, it is preferable to use terms such as "Digital Transformation" and "Innovation" at the beginning of your presentation, as they are very catchy words for decision-makers there.
Good-fit Instructor Guarantee
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