from202.40QAR/ h
Excel & JMP : statistiques appliquées aux données/
This course is intended for students (or professionals) in social sciences, humanities, economics, or related fields who want to master statistical data analysis using Excel and JMP.
Through hands-on exercises based on real survey data (e.g. the European Social Survey), you will learn to:
• Clean and structure datasets
• Perform univariate and cross-tab analyses
• Build pivot tables
• Visualize variables with graphs (histograms, boxplots, mosaics)
• Conduct independence tests (Chi2) and correlation analysis
• Generate professional reports exportable as PDF or HTML
The course is practical, progressive, and can be adapted to your own data and level. Perfect for exam prep, thesis work, or field research.
JMP sera fourni ou expliqué lors de la séance.
Les supports de cours sont offerts en PDF.
Possibilité d’utiliser vos propres données pour des travaux pratiques.
Through hands-on exercises based on real survey data (e.g. the European Social Survey), you will learn to:
• Clean and structure datasets
• Perform univariate and cross-tab analyses
• Build pivot tables
• Visualize variables with graphs (histograms, boxplots, mosaics)
• Conduct independence tests (Chi2) and correlation analysis
• Generate professional reports exportable as PDF or HTML
The course is practical, progressive, and can be adapted to your own data and level. Perfect for exam prep, thesis work, or field research.
Extra information
Apportez votre propre ordinateur portable avec Excel installé (idéalement version 2016 ou plus récente).JMP sera fourni ou expliqué lors de la séance.
Les supports de cours sont offerts en PDF.
Possibilité d’utiliser vos propres données pour des travaux pratiques.
Location
Online via webcam
At student's location: Around Liège, Belgium
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Use ctrl + wheel to zoom!
General info
| Age: | Children (7-12 years old) Teenagers (13-17 years old) Adults (18-64 years old) Seniors (65+ years old) |
|---|---|
| Student level: | Beginner |
| Duration: | 60 minutes |
| The class is taught in: | English, Arabic, French |
About Me
Hi! I'm Hamdi, a passionate Computer Scientiest and experienced tutor. With a Master’s in Internet of Things and a rich background in research and development, I bring a blend of academic rigor and practical insights to my teaching. I have worked as a researcher and engineer in Belgium and a research trainee in France, along with experience as a freelance developer.My teaching style is adaptive, focusing on individual student needs, encouraging hands-on learning, and making complex concepts accessible. Whether you’re a beginner or an advanced learner, my classes are designed to be engaging, interactive, and tailored to your learning goals. I believe in nurturing curiosity and the joy of discovery in technology.
Education
EDUCATION:• Master's degree, Computer Science Engineering at University of Debrecen, Debrecen, Hungary
(2020 - 2021)
• Master's degree, Internet of Things at National School of Computer Science, Tunisia (2018 -
2020)
• Master's degree, Enterprise System Engineering at Higher Institute of Computer Science and
Multimedia of Sfax, Sfax, Tunisia (2017 - 2018)
• Bachelor's degree, Information and Communications Technology at Higher Institute of Applied
Sciences and Technology of Mahdia, Mahdia, Tunisia (2014 - 2017)
Experience / Qualifications
Researcher at DistriNet Research Unit, KU Leuven:Focus on IoT and trusted execution in industrial systems.
Skills in ARM technologies, secure system updates, and energy-efficient scheduling.
Research Trainee at IRSEEM, France:
Specialized in embedded systems security and IoT.
Hands-on experience with Raspberry Pi and CryptoPP C++ library.
Freelance Web and Mobile Developer:
Managed various projects remotely.
Proficient in web technologies including PHP, Laravel, React.js, and Node.js.
Web Developer Trainee at DeltaSoft, Tunisia:
Led a web platform project for Facebook advertising.
Gained skills in full-stack development, project management, and web design.
Teaching Assistant for Computer Networks and IoT:
Experienced in educating on computer networks and industrial IoT.
Guided master's thesis students and facilitated Problem and Design courses.
Key Skills:
+Technical Proficiency: Strong foundation in IoT, embedded systems, web development, and network security.
Research and Development: Proven track record in innovative research and practical implementation in technology.
+Project Management: Experience in leading projects, from conceptualization to execution and optimization.
+Teaching and Mentorship: Skilled in teaching complex concepts, mentoring students, and fostering academic growth.
"Embark on an exciting journey into the world of Computer Science, tailored specifically for young minds aged 7-17. This course is designed to ignite curiosity and passion in the field of computing, providing a strong foundation in key areas like basic programming, computer architecture, and practical skills in office software.
You'll discover the magic of how computers work, from the basics of coding to the intricacies of hardware. Learn to program using engaging and age-appropriate languages and tools, understand the fundamentals of computer architecture, and master essential software applications that are crucial in today’s digital world.
Beyond the basics, this course encourages creativity and problem-solving. We’ll dive into exciting projects that blend learning with real-world applications, ensuring that students not only grasp the concepts but also see their practical implications.
Suggested topics include:
Introduction to Programming: Learn the basics of coding with languages suitable for young learners.
How Computers Work: Demystify the components and operations of computers.
Fun with Robotics: Explore the basics of robotics and how programming brings machines to life.
Creative Computing: Engage in projects that combine coding with creativity, like building simple games or animations.
Internet Safety and Ethics: Understand the importance of being safe and responsible online.
Office Skills: Get hands-on with word processors, spreadsheets, and presentation tools, essential for academic and future professional success.
This course is more than just a learning experience; it's a gateway to understanding and harnessing the power of technology, paving the way for future innovations and a deep appreciation of computer science."
This course will be an adventure where each class brings new discoveries and achievements, perfect for young minds eager to delve into the world of computer science!
Ask a question
Send a message explaining your needs and Hamdi will reply soon:
The more detail, the better.
Ex. "Hi, when are you available to meet for a lesson?"
Ex. "Hi, when are you available to meet for a lesson?"
Availability of a typical week
(GMT -04:00) New York
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| 1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
| 2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
| 3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
| 4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
| 5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
| 6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
| 7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
| 8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
| 9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
| 10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
| 11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
| 12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
| 13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
| 14 | Monday at 14:00 | Tuesday at 14:00 | Wednesday at 14:00 | Thursday at 14:00 | Friday at 14:00 | Saturday at 14:00 | Sunday at 14:00 |
| 15 | Monday at 15:00 | Tuesday at 15:00 | Wednesday at 15:00 | Thursday at 15:00 | Friday at 15:00 | Saturday at 15:00 | Sunday at 15:00 |
| 16 | Monday at 16:00 | Tuesday at 16:00 | Wednesday at 16:00 | Thursday at 16:00 | Friday at 16:00 | Saturday at 16:00 | Sunday at 16:00 |
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from 202.40 QAROnline via webcam
100% Satisfaction Guarantee
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
Online reputation
- Instructor since December 2023
- 1 repeat student
- Phone number verified
- Google connected
- Linkedin connected
Availability of a typical week
(GMT -04:00) New York
| Mon | Tue | Wed | Thu | Fri | Sat | Sun | |
|---|---|---|---|---|---|---|---|
| 0 | |||||||
| 1 | Monday at 1:00 | Tuesday at 1:00 | Wednesday at 1:00 | Thursday at 1:00 | Friday at 1:00 | Saturday at 1:00 | Sunday at 1:00 |
| 2 | Monday at 2:00 | Tuesday at 2:00 | Wednesday at 2:00 | Thursday at 2:00 | Friday at 2:00 | Saturday at 2:00 | Sunday at 2:00 |
| 3 | Monday at 3:00 | Tuesday at 3:00 | Wednesday at 3:00 | Thursday at 3:00 | Friday at 3:00 | Saturday at 3:00 | Sunday at 3:00 |
| 4 | Monday at 4:00 | Tuesday at 4:00 | Wednesday at 4:00 | Thursday at 4:00 | Friday at 4:00 | Saturday at 4:00 | Sunday at 4:00 |
| 5 | Monday at 5:00 | Tuesday at 5:00 | Wednesday at 5:00 | Thursday at 5:00 | Friday at 5:00 | Saturday at 5:00 | Sunday at 5:00 |
| 6 | Monday at 6:00 | Tuesday at 6:00 | Wednesday at 6:00 | Thursday at 6:00 | Friday at 6:00 | Saturday at 6:00 | Sunday at 6:00 |
| 7 | Monday at 7:00 | Tuesday at 7:00 | Wednesday at 7:00 | Thursday at 7:00 | Friday at 7:00 | Saturday at 7:00 | Sunday at 7:00 |
| 8 | Monday at 8:00 | Tuesday at 8:00 | Wednesday at 8:00 | Thursday at 8:00 | Friday at 8:00 | Saturday at 8:00 | Sunday at 8:00 |
| 9 | Monday at 9:00 | Tuesday at 9:00 | Wednesday at 9:00 | Thursday at 9:00 | Friday at 9:00 | Saturday at 9:00 | Sunday at 9:00 |
| 10 | Monday at 10:00 | Tuesday at 10:00 | Wednesday at 10:00 | Thursday at 10:00 | Friday at 10:00 | Saturday at 10:00 | Sunday at 10:00 |
| 11 | Monday at 11:00 | Tuesday at 11:00 | Wednesday at 11:00 | Thursday at 11:00 | Friday at 11:00 | Saturday at 11:00 | Sunday at 11:00 |
| 12 | Monday at 12:00 | Tuesday at 12:00 | Wednesday at 12:00 | Thursday at 12:00 | Friday at 12:00 | Saturday at 12:00 | Sunday at 12:00 |
| 13 | Monday at 13:00 | Tuesday at 13:00 | Wednesday at 13:00 | Thursday at 13:00 | Friday at 13:00 | Saturday at 13:00 | Sunday at 13:00 |
| 14 | Monday at 14:00 | Tuesday at 14:00 | Wednesday at 14:00 | Thursday at 14:00 | Friday at 14:00 | Saturday at 14:00 | Sunday at 14:00 |
| 15 | Monday at 15:00 | Tuesday at 15:00 | Wednesday at 15:00 | Thursday at 15:00 | Friday at 15:00 | Saturday at 15:00 | Sunday at 15:00 |
| 16 | Monday at 16:00 | Tuesday at 16:00 | Wednesday at 16:00 | Thursday at 16:00 | Friday at 16:00 | Saturday at 16:00 | Sunday at 16:00 |
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from 202.40 QAROnline via webcam
Good-fit Instructor Guarantee
If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.
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