SAP HANA ERP TUTORING, SHAREPOINT TRAINING, COMPUTERS

من 3846.73 EGP /س

SAP HANA is an in-memory, column-oriented, relational database management system developed and marketed by SAP SE.Its primary function as a database server is to store and retrieve data as requested by the applications. In addition, it performs advanced analytics (predictive analytics, spatial data processing, text analytics, text search, streaming analytics, graph data processing) and includes extract, transform, load (ETL) capabilities as well as an application server.

المكان

عبر الانترنت من الهند

من أنا؟

I have 15+ yrs of IT Experience in Information Technology, International Project Management, Experience.Exp in below Technologies
1. Professional Project Management SCRUM Masters – SCRUM.ORG
2. Livelink Knowledge Fundamentals
3. Livelink System Administration
4. Livelink Advanced Schema and Live Report
5. Livelink Records Management
6. Designing and Implementing Livelink Forms
7. Livelink Workflow Design I and II
8. SAP HANA Implementation and Modeling
9. SAP BO-BI, HANA and BODS
10. Oracle 11g Database Administration Workshop-1
11. C,C++, Perl, Python, ASP.NET, R, HTML5, MYSQL, Sun Java Programming
12. SUN Solaris System Administration -1 and Linux Admin CentOS-7
13. Black Berry Enterprise Server -4
14. MS-SHAREPOINT ENTERPRISE SERVER -2003,-2016
15. MS-Content Management Server-2002
16. MS-Exchange Server 2013, Active Directory (AD), DHCP.
17. Symantec Backup
18. VMWare-6 and V-Cloud Director
19. M.C.S.E –Microsoft Server 2012
20. C.C.N.A (Routing and Switching Version- 3)

المستوى التعليمي

Masters Degree - Electronics and Physics
Bachelors Degree - Electronics, Maths, Physics
SAP HANA Implementation and Modeling
SAP BO
SAP MS SharePoint Portal Server

الخبرة / المؤهلات

15+yrs, International, Data Center , SAP ERP, Intranets, Virtualization, System Administration, MS,Exchange, Active Directory, DHCP, DNS, etc.

السن

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

60 دقيقة

الدرس يدور باللغة

الإنجليزية

مهارات

قاعدة البيانات

Microsoft sharepoint

علوم الكمبيوتر

الجاهزية في الأسبوع العادي

(GMT -04:00)

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

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.

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.

Anass

4.89

(64)

Hello,

You want to learn the basics of computers or how to use software such as Word, Excel or Powerpoint.

I will give you the skills you need to better understand the features of this software to write, for example, a document.

I will also give you advice on how to make the most of the internet, protect and back up your data, or on the day-to-day use of your computer.

Contact me.

Salah

4.89

(64)

I offer Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Office sessions

Word is a word processing software developed by Microsoft. It is used to create documents, letters, reports, presentations...

Excel is a spreadsheet software from the Microsoft Office suite developed and distributed by the publisher Microsoft. It is used to create spreadsheets, tables, graphs, etc.

Powerpoint is a presentation software developed by Microsoft. It is part of the Microsoft Office suite. It is used to create presentations, slide shows...

I am waiting for your message.

Riadh

4.89

(64)

The course will cover the following points:
- Office automation (Word, Excel)
- Network administration
- CCNA Training (This program provides the foundation for IT professionals who are familiar with the
Cisco networks and operating systems)
- Teaching network courses (LAN, MAN, WAN, TCP/IP protocols)
- Practical work (Packet tracer)
- Some notions on computer security

Mohamed

4.89

(64)

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.

Contact me if you want to have more information about the course!

Dr.Ibrahim

4.89

(64)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

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?

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

Bouchra

4.89

(64)

Je possède deux diplômes : l’un en réseaux informatiques et le second en systèmes distribués. Je travaille actuellement dans le domaine de la data, et j’ai également une expérience en développement logiciel.

En parallèle, j’ai déjà donné des cours particuliers à plus de 10 étudiants, ce qui m’a permis de développer une pédagogie adaptée et efficace.

Je peux vous aider à :
- Comprendre et utiliser un langage de programmation,
- Acquérir des bases solides en réseaux (niveau Cisco CCNA),
- Vous accompagner dans des sujets liés à la data (analyse, bases de données, etc.).

Chrayet

4.89

(64)

Specialized in using Power BI and able to configure you on demand, whether you are a beginner who wants to understand the basics of data analysis or a professional seeking to master building advanced reports and dashboards.

Microsoft Power BI is considered one of Microsoft's most powerful business intelligence tools, and is widely used in the fields of industry 🏭, finance 💰, commerce 📊, project management 📈, human resources 👥, supply chains 🚚 and more.

With Power BI you can:

Linking multiple data sources (Excel, ERP, SQL, SharePoint...).

Cleaning and transforming data professionally using Power Query.

Creating powerful data models using DAX.

Interactive and easy-to-read dashboard design.

Track Key Performance Indicators (KPIs) in real time.

Supporting decision-making through in-depth and accurate data analysis.

I offer practical training based on real-world scenarios from your work environment, simplifying technical concepts like Data Modeling and DAX in a systematic and accessible way. The goal is to empower you to transform raw data into strategic insights that help you make smart, fast decisions.

Mastering Power BI gives you a strong added value in the job market, and enables you to lead the digital transformation within your organization 🚀

A customized training program can be set up according to your level and professional needs.

Bilel

4.89

(64)

Cours de mathématiques destinés aux élèves de l’école primaire et de l’école secondaire jusqu’à 14 ans.

Accompagnement personnalisé pour consolider les bases, améliorer la compréhension des notions clés et développer la confiance en soi.

Cours d’informatique pour débutants, axés sur l’utilisation d’un ordinateur : prise en main du PC, bases essentielles (souris, clavier, fichiers), initiation aux outils informatiques du quotidien.

Méthode pédagogique adaptée au niveau de l’élève, avec des explications simples et progressives.

Ayman

4.89

(64)

A mathematics, physics, and computer science teacher with a background in preparatory classes for engineering schools (MP track) and a degree in computer science specializing in artificial intelligence. He possesses a strong command of theoretical concepts and practical applications. His rigorous, structured teaching method is tailored to each student's level, aiming for deep understanding, logical reasoning, and academic success.

Ismail

4.89

(64)

Python is today one of the most in-demand programming languages in the world, used in software development, data analysis, artificial intelligence, and automation.

This course is designed to guide you step by step, whether you're a beginner or looking to deepen your skills. My approach is practical and project-oriented: you'll learn by coding.

In the program :
• Python basics (variables, conditions, loops)
• Functions and modular programming
• Lists, tuples, dictionaries
• Object-oriented programming
• File manipulation
• Introduction to NumPy and Pandas (data analysis)
• Concrete mini-projects adapted to your level

This course is aimed at students, engineers, professionals or anyone wishing to develop solid skills in Python programming.

The sessions are personalized according to your objectives: academic success, exam preparation, university projects or professional development.