Foundation of Data Science -- For Beginners students.

من 37.17 $ /س

Hi Students,

Foundation of Data Science is for complete Beginners.

This course is In-depth knowledge and hands-on tools to use and work with different kinds of data. Gaining practical experience across the data science pipeline by acquiring proficiency in the data science coding language R.

Foundations of Data Science is for those who work with both structured – spreadsheets and data tables – and unstructured data and who need to understand how to automate data to gain insights, contribute to strategic discussions and make data-driven decisions.

With my Course you’ll gain a broad understanding of the tools and techniques used to work with data.

1. What is Data: Learn about data types, structures and frameworks

2. Interacting with Data: Understanding how data is used and how to use data

3. Where Data comes from: The processes for acquiring and sharing Data

4. Storing & Structuring Data: Working with different types of databases and data sets

5. Cleaning Data: Working with messy or incomplete data sets

6. Analyzing Data: Gaining insights with data science techniques and tools

7. Visualizing Data: Best practices and tools for data visualization and presentation

8. Machine Learning & Artificial Intelligence: How data is used by machines

9. Working as a Data Scientist: What do data scientists really do?

10. Data & Society: Ethics and the uses of data in society

معلومات إضافية

Laptop is needed :)

المكان

عبر الانترنت من سويسرا

من أنا؟

Hi Learners,

I am Noshima and I am a Software engineer working. I work in technology firm and have experience of 5 years. Along with my work since last 6-7 years I am teaching my students through online platform as my hobby and as my passion to share knowledge as much as I can in order to benefit my student.

See you in my CLASS.

المستوى التعليمي

Degree - B.Tech in Computer Science.
Graduation Year - 2015
GDPA - 8

Certification in Data Science from EPFL Switzerland.
Year - 2022.2023
Score - Pass with all project submission

Teaching experience of more than 7 years.

الخبرة / المؤهلات

Qualification - Bachelor in Technology.
Experience - more than 5 years

Worked in USA companies Project for more than 3 years.

السن

الأطفال (7-12 سنة)

شباب (13-17 سنة)

مستوى الطالب

مبتدئ

المدة

45 دقيقة

الدرس يدور باللغة

الإنجليزية

الفرنسية

مهارات

قاعدة البيانات

علوم الكمبيوتر

الجاهزية في الأسبوع العادي

(GMT -05:00)

نيويورك

على الانترنت عبر كاميرا ويب

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Programming for Everybody - Basics of C/C++ Programming

34.51 $ /س

This course aims to teach everyone the basics of programming computers using C/C++. We cover the basics of how one constructs a program from a series of simple instructions in C/C++. The course has no prerequisites and avoids all but the simplest mathematics.

Will share handwritten notes pdf after every class.

38.5 $ /س

With this course you will get to learn following things -

Build natural, long-lasting confidence.
Overcome low self-esteem.
Tap into your Best Self.
Use the power of NLP & Hypnosis to become supremely self-confident.
Create a positive and empowering Self-image.
Cultivate a strong sense of self-belief.
Develop a "quiet" Confidence.
Learn about the multi-layered nature of Confidence.
The Success Tunnel Technique to boost confidence, self-esteem & self-belief.
The Self-image Multiplier Technique.
How to use Psychological Mentoring to become more confident than you can imagine.
How to let go of social anxiety.
How to become more confident in social situations.
How to become more socially skilled.

إقرأ المزيد

عرض المزيد

Khalil

4.89

(64)

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Oussama

4.89

(64)

Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects.

What You'll Learn:
ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

What's Included:
Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

No AI experience needed - just basic JavaScript/React knowledge.

Brahim

4.89

(64)

Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction.

1- Install MongoDB
2- Implement MongoDB
3- Use of documents and collectibles
4 - Leadership Committee
5- Execute CRUD commands (create, read, update, delete) avec mongo shell
6- Type the register in a MongoDB database
7- Reset the base to remonter specific documents depuis mongo shell.
8- Lagrégation
9- Indexing
10- Amending institutions and transactions

Salah

4.89

(64)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Amine

4.89

(64)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Dr.Ibrahim

4.89

(64)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Soufiane

4.89

(64)

Hello to all motivated post-baccalaureate students (computer science degree, BUT, preparatory classes, engineering schools, career change)!
My name is Soufiane, I have a master's degree in Data Science & AI.

Specializing in programming and development, I offer customized private lessons in: Python (basics, OOP, data structures, real-world projects), Java (advanced OOP, interfaces, project management), R (data analysis, packages, visualization), C (pointers, memory, system algorithms), SQL (complex queries, joins, optimization), Databases (MySQL, PostgreSQL, normalization), HTML/CSS (static web, responsive design, best practices), Algorithms & Data Structures (complexity, trees, graphs), Real-world projects (mini-apps, scripts, websites)

Levels: L1/L2/L3 Computer Science, BUT, ATS/TI preparatory classes, Engineering schools (INSA, EPITA, etc.), Career change

Why my courses?
- 100% practical courses: hands-on exercises, projects, live debugging
- Resources provided: OOP worksheets, Java templates, R/C cheat sheets, solved exercises
- Flexible hours: evenings, weekends, holidays
- At home (Cergy, Pontoise, Sarcelles – free < 15 km) or 100% remote (Zoom + screen sharing)
- Invoices issued

Immediate availability – Limited places
Contact me by message to schedule an appointment.
Respond quickly, I'm only taking a maximum of 8 students to guarantee quality!

See you soon to boost your dev skills!

Mohamed

4.89

(64)

Learn calculus from an instructor with proven experience tutoring advanced calculus at the college level. This course combines rigorous academic standards with clear, student-centered explanations to help learners truly understand challenging concepts.

With experience guiding university students through advanced topics, the instruction is practical, thorough, and focused on long-term mastery—ideal for students pursuing mathematics, engineering, or science.

Raouf

4.89

(64)

Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

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).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

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

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

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".

4: Precautions and Critical Thinking (The Survival Guide)
"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.

Spotting "Deepfakes":

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.

5: Ethics and Impacts (To go further)
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?

Wissem

4.89

(64)

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

Malek

4.89

(64)

This course aims to introduce students to the fundamentals of computer science and modern artificial intelligence technologies. It covers essential concepts in programming, algorithms, machine learning, and AI, with both a theoretical and practical approach.

Students will learn to design algorithms, develop programs in C and Python, and implement machine learning models to solve real-world problems. The course emphasizes logic, problem-solving, and the use of modern tools in data science and AI.

Laroussi

4.89

(64)

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.

Amine

4.89

(64)

◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making

Yassine

4.89

(64)

Fort de plus de 10 ans d'expérience comme formateur Cisco et expert terrain, je rends les concepts complexes accessibles et concrets grâce à une pédagogie adaptée à chacun. Ce que je vous propose : Un parcours personnalisé adapté à vos objectifs : Pour les débutants : Acquérir des bases solides et comprendre l'écosystème IT Pour les confirmés : Approfondir des technologies spécifiques et se perfectionner Pour les certifications : Préparation aux certifications Cisco (CCNA, CyberOps, CCNP...) ️ Au programme : Les fondamentaux réseaux : Modèle OSI/TCP-IP, routage, commutation, VLAN Les protocoles essentiels : TCP/IP, DNS, DHCP, HTTP/HTTPS, SSH La cybersécurité en pratique : Sécurisation des équipements, bonnes pratiques, détection des menaces La fibre optique : Principes, technologies et déploiement (selon votre niveau) Ma promesse : Des explications claires sans jargon inutile Des mises en situation concrètes issues de mon expérience terrain Une progression adaptée à votre rythme Un accompagnement bienveillant dans une ambiance studieuse mais décontractée Prêt à transformer votre passion en expertise ? Contactez-moi pour un premier cours et ensemble, bâtissons votre succès dans les réseaux et la cybersécurité !

Manil

4.89

(64)

Besoin de débloquer un chapitre de maths ou de comprendre enfin la logique Python ?

Actuellement en L1 MIAGE après un bac avec les spécialités Maths et NSI, je maîtrise parfaitement le programme du lycée. Ma formation actuelle me permet d'avoir une vision concrète et appliquée des sciences.

Au programme selon vos besoins :

Mathématiques : Algèbre, analyse, probabilités (explications claires et exercices types).

Informatique (NSI) : Algorithmique, structures de données et programmation Python.

Méthodologie : Comment aborder un problème complexe sans paniquer.

Mon but est de rendre ces matières accessibles et de vous transmettre les méthodes qui m'ont permis de réussir mon cursus.