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Since December 2023
Instructor since December 2023
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Excel & JMP : statistiques appliquées aux données/ Applied Statistic for social studies
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From 76.65 C$ /h
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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.
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
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At student's location :
  • Around Liège, Belgium
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Online from Belgium
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.
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
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
at home icon
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
"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!
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1st lesson is backed
by our
Good-fit Instructor Guarantee
Similar classes
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Graduated in civil engineering in signal processing, I have been working for 4 years as a software engineer, in the fields of statistics, artificial intelligence and digital signal processing.

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Good-fit Instructor Guarantee
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Contact Hamdi