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Since February 2024
Instructor since February 2024
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Master the Fundamentals of Data Science and Artificial Intelligence
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From 13.66 € /h
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Welcome to the Data Science course where you will discover the art and science of transforming data into actionable insights.
In this captivating journey, we'll explore the fundamentals of Data Science, diving into the key concepts and essential techniques for analyzing and interpreting data. You will learn the basics of data cleaning and preparation, data exploration and visualization, and advanced machine learning and predictive modeling techniques.

Whether you are a curious beginner or a professional looking to hone your skills, this course offers a practical, in-depth approach to help you become a Data Science expert. Join me to explore the vast possibilities offered by the world of data together and become a master in the art of data manipulation and analysis.
Get ready to unleash the power of data and transform your understanding of the world around you!
Extra information
There are no specific prerequisites for this course other than the availability of a personal computer, a good internet connection and a quiet environment for an optimal learning experience.
Location
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Online from Tunisia
About Me
Good morning ! I am a computer engineer and passionate about the possibilities offered by the field of data science and programming. Currently, I am actively pursuing my Master's degree in Deep Learning in Canada, thus enriching my skills and knowledge in this constantly evolving field. I am committed to providing my students with a comprehensive and informative profile to facilitate contact and interaction, while providing an enriching and stimulating learning experience. With solid expertise in IT and a strong interest in data analysis and web development, I am determined to support my students in their learning journey and help them successfully achieve their goals.
Education
* I graduated from a cycle of preparatory studies in mathematics and physics 2018-2020
* I graduated in Computer Engineering from the National School of Engineers in 2023.
* Currently, I am a Master's student in Software Engineering at Concordia University, Canada.
Experience / Qualifications
*Python developer at Whitecape Technologies, where I had the opportunity to practice my Python programming skills in a professional environment.
* At the same time, I also had the opportunity to explore the exciting field of machine learning as a machine learning intern.
Age
Preschool children (4-6 years old)
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
Arabic
Reviews
Availability of a typical week
(GMT -05:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Hello everyone !
As a student of software engineering and deep learning, I am passionate about mathematics and its application in the fields of artificial intelligence and machine learning.

With a patient approach, I strive to make complex mathematical concepts accessible to everyone. My methodology is both clear and interactive, promoting in-depth and stimulating learning. I'm here to support you every step of the learning process, encouraging you to explore and master the essential foundations of mathematics.

Join me on a dynamic journey to mathematical excellence, where we will work together to expand your understanding and strengthen your skills
Read more
I offer courses that will allow you to better understand the French language to speak, understand and write it with ease. I will teach all essential aspects of French, including pronunciation, grammar, composition and sentence construction.
My goal is to help you progress quickly, whether orally or in writing. These courses are open to all students, whether French-speaking or not. In addition, methodology sessions are available to facilitate your learning and ensure your success.

Lessons are personalized according to the needs and level of the student.
The teaching materials are varied and adapted to needs.
The schedules are flexible.
Read more
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This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

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