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Professeur fiable
Ce professeur a un délai et un taux de réponse très élevé, démontrant un service de qualité et sa fidélité envers ses élèves.
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Depuis mai 2021
Professeur depuis mai 2021
Learn How to Master Python Programming for Data Science
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Àpd 31.8 $ /h
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I specialize in tutoring computer science and information technology. I hold a PhD degree in Information Systems and a postgraduate diploma in education. I want to make python programming much easier for students by offering it. I want to make students to understand python programming as a way to become data scientist. The student will be able to do many exercises during the lessons to enhance the student's ability to understand the programming language.

The course is about introducing learners to python programming. Student swill understand the data science basics, variables assignment in python, functions, Lists, and numpy arrays. The course is to prepare students to be able to further their studies in intermediate python and more advanced topics in python and data science.
Informations supplémentaires
Bring your own laptop so that you can perform the exercises during the lessons.
Lieu
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En ligne depuis Afrique du Sud
Présentation
Hi students, I am an experienced tutor in computer science and python programming. I welcome students who are interested in learning computer science and python programming. As a tutor, I promote learning, spark learner enthusiasm for learning and provide a strong foundation for lifelong learning. I will design my lessons in such a way that it will be easier for students to learn and understand easily. I will provide exercises during the lessons for the student to have practical knowledge of what is being taught.

I had taught in many schools and tertiary institutions and I have the skills and knowledge to teach these courses efficiently. I will teach students with clarity, passion, empathy and sincere enthusiasm, so as to make learners connect to their passion. I am very committed to providing a learning environment that is exciting and the one that empowers both student and tutor. Above all, I treat all my students with the utmost respect, creating an environment where students feel safe to candidly discuss their challenges about the course.
Education
PhD Information Systems, University of South Africa, 2016
Master in Information Technology, University of Pretoria, 2003
Honours BSc Information Systems, University of South Africa, 2000
Expérience / Qualifications
Lecturer in various universities in South Africa. Tutor in High school in South Africa. I taught courses like Introduction to Computer Science, Management Information Systems, Python Programming etc.
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Durée
120 minutes
Enseigné en
anglais
Disponibilité semaine type
(GMT -04:00)
New York
at teacher icon
Cours par webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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This course recognises the importance of developing an effective research proposal for gaining either a place on a research degree programme or funding to support research projects and set out to explore the main factors that that proposal writers need to attend to in developing successful proposals of their own.

Developing Research Proposals will help readers to understand the context within which their proposal will be read, what the reviewers are looking for and will be influenced by, while also supporting the development of relevant skills through advice and practical activities.

This course will assist postgraduate students dong Honours, Masters and PhD degrees to be able to write good research proposals for their studies.
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IT project management is the planning, scheduling, execution, monitoring and reporting of IT projects. IT project managers are responsible for planning, budgeting, executing, leading, troubleshooting, and maintaining these projects. I hold a PhD degree in Information Systems and a postgraduate diploma in education. I have many years of experience as an IT project manager in the industry.

I have designed the course as a practical guide to implementing IT project management in the industry that is specifically tailored towards the activities of an IT project manager. You will learn to develop IT project charter, IT business plan, IT project plan, IT project quality plan, IT project risk management plan and Stakeholders engagement.
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Contacter Olusegun
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Le premier cours est couvert par notre Garantie Le-Bon-Prof
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Francisco
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Welcome to my class on Python programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I use Python everyday in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Python and explore its diverse capabilities together!

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I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

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If you already know the basics of Python but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are! I am a professional user of Numpy, Pandas, Matplotlib, os, scipy and many more packages!

Are you not sure Python is the right language for you? Check the following out and let me know if you have any questions!

First of all, what is Python? According to its creator, Guido van Rossum, Python is a:

“high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.”

Learning Python is a rewarding experience for several reasons. Firstly, Python is inherently beautiful as a programming language, offering a natural and expressive way to translate your thoughts into code. Its readability and simplicity make coding an enjoyable and intuitive process.

The Python language finds applications across various domains, including data science, web development, machine learning and AI. For example, platforms like Quora, Pinterest, and Spotify leverage Python for their backend web development!

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1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

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Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

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

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

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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.

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).

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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Laroussi
Séance 1 : Révolutionner sa Rédaction Scientifique avec LaTeX & l'IA
Durée : 2 Heures | Niveau : Débutant | Outils : Overleaf + IA**

Première Heure : Fondations et Environnement Cloud (60 min)

1. Introduction à la Philosophie LaTeX (15 min)

- Le concept "WYSIWYM" :** Expliquer la différence entre Word (*What You See Is What You Get*) et LaTeX (*What You See Is What You Mean*). Pourquoi le contenu prime sur la forme.
- Les avantages clés :** Qualité typographique inégalée, gestion automatique des références, stabilité sur les documents longs (thèses), et gratuité.
- La structure d'un fichier :** Distinction entre le **préambule** (le cerveau : réglages et packages) et le **corps du document** (le cœur : texte).

2. Immersion dans Overleaf (25 min)

- Configuration :** Création d'un compte et premier projet "Blank Project".
- Exploration de l'interface :** Le panneau de fichiers (gauche), l'éditeur de code (milieu) et la prévisualisation PDF (droite).
- Collaboration en temps réel :** Comment partager un projet et laisser des commentaires (comme sur Google Docs).
- L'historique et les versions :** Comment revenir en arrière en cas d'erreur de compilation.

3. Atelier Pratique : Mon Premier Document (20 min)

* Écriture des commandes de base : `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation du document et observation du résultat.
* Structuration : Utilisation de `\section` et `\subsection`.

Seconde Heure : Mathématiques et Magie de l'IA (60 min)

4. La puissance des Mathématiques (20 min)

- Modes mathématiques :** Différence entre le texte (`$...$`) et le bloc centré (`\[...\]`).
- Syntaxe essentielle :** Fractions `\frac{}{}`, exposants `^`, indices `_`, et racines `\sqrt{}`.
- Introduction aux packages AMS : Pourquoi amsmath et amssymb sont indispensables pour un rendu professionnel.

5. De la main à l'écran : L'IA au service du LaTeX (30 min)

- Présentation des outils d'OCR :** Utilisation de **Mathpix Snip** (le leader) ou de modèles comme Gemini/ChatGPT pour transformer une photo en code.
- Démonstration concrète :
1. Prendre une photo d'une formule manuscrite complexe (ex: une intégrale avec des matrices).
2. Utiliser l'IA pour générer le code LaTeX correspondant.
3. Correction et insertion : Apprendre à vérifier le code généré par l'IA avant de le copier-coller dans Overleaf.

6. Conclusion et Q&A (10 min)

* Synthèse des acquis.
* Ressources pour aller plus loin
* Définition de l'exercice pour la prichaine séance.
Garantie Le-Bon-Prof
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