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Since June 2024
Instructor since June 2024
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Master Python: From Introduction to Advanced Projects
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From 13 € /h
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This introductory Python course is specially designed for beginners looking to gain a solid understanding of programming fundamentals. You'll start with the essential foundations of the Python language, including syntax, control structures, and functions.

Through hands-on examples and guided exercises, you'll learn how to solve simple problems using Python, manipulate data, create scripts, and automate common tasks. We will also cover the principles of object-oriented programming and the use of basic libraries such as NumPy and Matplotlib for data analysis and visualization.

This course is ideal for those who want to get started with programming with Python, whether for academic, professional applications or simply for the pleasure of learning a new language.
Extra information
This course does not require any specialized equipment. All you need is a computer with a stable internet connection and a prior installation of Python, which you can download for free from the official Python website (https://www.python.org/downloads/).

For the best experience, make sure you have an integrated development environment (IDE) such as PyCharm, VS Code, or Jupyter Notebook installed on your system. These tools will help you follow the lessons, practice the exercises, and develop your Python projects smoothly.
Location
location type icon
Online from France
About Me
An engineer passionate about IT and technology, I have solid experience in programming with languages ​​such as C, Java and Python. At the same time, I developed advanced skills in web development with HTML, CSS and JavaScript, as well as expertise in the use of specialized software.

In addition to my technical skills, I am multilingual, mastering Arabic, Tariffit and Darija as my mother tongue, as well as a good level in French, the language in which I followed my university studies. My teaching approach aims to combine a deep understanding of computing concepts with their practical application, creating an interactive and stimulating learning environment.

My academic background includes a DEUST in Mathematics-Computer Science-Physics, a License in Mathematics-Computer Science and an engineering diploma in Geoinformation, enriched by university projects such as the development of mobile applications and GIS solutions. As a future engineer, I am motivated to pass on my knowledge and inspire my students to excel in both computer science and languages, while cultivating their curiosity and ability to innovate.
Education
DEUST in Mathematics-Computer Science-Physics
Bachelor's degree in Mathematics-Computer Science
Student in geoinformation engineering

My academic background includes a DEUST in Mathematics-Computer Science-Physics, a License in Mathematics-Computer Science and an engineering diploma in Geoinformation,
Experience / Qualifications
My professional and academic career reflects my passion for computing and technology. As a future engineer specializing in Geoinformation, I have developed expertise in programming, particularly with C, Java and Python languages. My skills also extend to advanced web development with HTML, CSS and JavaScript, as well as the professional use of specialist software such as AutoCAD, ArcGIS.

In addition to my technical skills, I am multilingual, mastering Arabic, Tarifit and Darija as mother tongues, and have a good level of French, which has been my main language of study.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
French
Arabic
English
Reviews
Availability of a typical week
(GMT -05:00)
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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"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.

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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.

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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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Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets
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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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Microsoft Excel is the most used tool in data analysis. having skills in Microsoft Excel gives you an upper hand in completing your work faster as well as landing a job faster than someone who doesn't have the needed skills.
Our online and in-person classes helps you acquire the skills as fast as possible for any industrial use
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This course is designed for students and professionals who want to learn how to analyze data using the R programming language. You will start with the basics of R, including variables, data types, and simple functions, and then move on to real-world data analysis skills such as data cleaning, visualization, and basic statistics.

By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.
Good-fit Instructor Guarantee
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