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Since February 2020
Instructor since February 2020
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Programming on R software (Data manipulation, analysis and visualization)
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From 64.99 C$ /h
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R software is one of the most powerful and flexible statistical software, in addition to being completely free! Its use can be intimidating at first, however.

Whether you need help solving a specific problem (e.g. restructuring a database, performing a statistical test, plotting a graph, etc.), or you would like to learn how to use this monitoring software. more generally, I suggest you put my more than 6 years of experience with R at your service.
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At student's location :
  • Around Etterbeek, Belgium
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Online from Belgium
About Me
I have already taught a lot and I love to do it, especially statistics. From experience, I know that statistics seem difficult and boring when you don't see their practical usefulness. When I teach, I therefore put a lot of effort into making the material concrete by showing its practical implications!

If you want to know more about me:
I have a doctorate in social sciences. My work and my training (Master in Social Psychology) are largely based on sophisticated statistical analyzes, so I had the opportunity to go around the subject!
Education
08/2014 - 12/2020 Doctorate and active researcher at the LINES lab, Faculty of Social and Political Sciences, University of Lausanne
Doctoral thesis:
Defining self, defining conflict: Ethnicity and complex identities in troubled times
(Thesis director: Prof. Guy Elcheroth)

06/2013 - 09/2013 Scientific intern
Free University of Brussels (ULB),
Social Psychology Unit (Promoters: Dr. Nicolas Van der Linden, Prof. Olivier Klein) Research subject:
Ethnic stereotypes transmission in the media

Previous education
09/2009 - 06/2014 Psychology student
(Master with the greatest distinction)
Free University of Brussels (ULB)
Main subjects: Social, clinical and neuropsychology psychology
Orientation: Social and intercultural psychology
Memory (passed with the maximum grade):
We have done wrong, we are responsible, but are we immoral? Collective shame as a reaction to the salience of a negative self-stereotype.
(Supervisor: Prof. Laurent Licata)
Experience / Qualifications
Education
09/2018 Animation of a methodological workshop “Quantitative Methodology in memory studies: Epistemology and Techniques” (withMai Albzour, University of Birzeit, Palestine):
Presentation of an overview of the epistemology and principles of quantitative research and statistics in the social sciences; animation of practical exercises with students and researchers.

02/2016 - 06/2016 Assistant professor for the Master course “Atelier Dynamiques Sociales II”
(Prof. Guy Elcheroth, Prof. Irene Maffi, University of Lausanne)
Class management, supervision of students in the design and development of a research project on the circulation of memories.


Other activites:
Since 08/2014 Active researcher in the Plural Memory Project (R4D program funded by SNF and SDC, University of Lausanne)
Design of research, management, cleaning, analysis and archiving of data.

06/2019 - 01/2020 Scientific consultant for the Department of Behavioral Sciences, Birzeit University, Palestine
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
120 minutes
The class is taught in
French
English
Reviews
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
If you have difficulties in statistics, I can help you! My courses are aimed at students of higher education or doctoral students in psychological and social sciences, or anyone interested in understanding statistics. My teaching method fully adapts to your needs. I would therefore ask you for a brief description of the objective that you set for adapting my courses accordingly. Depending on your needs, my courses can cover:

- The theoretical bases of descriptive and inferential statistics

- The most common inference tests (Chi-square, T test, ANOVA, linear regression, etc.) or more sophisticated (multi-level analyzes, structural equations) or other data organization tools (factor analysis, analysis in clusters).

- Application on SPSS, Jamovi, JASP and R software

- Practical exercises with data provided by myself, or your own data.

In any case, I will go into the details of these different subjects only according to your needs / interests and my explanations will be clear and understandable regardless of your level :)
Read more
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Robert
A highly experienced Franco-Belgian teacher (ook in het nederlands!) offers private lessons in mathematics (including finance), probability and statistics, as well as physics, chemistry, and biology for secondary and higher education levels. For physics, chemistry, and biology, the instruction is tailored to the secondary level, specifically up to the 5th year of secondary education in Belgium.

Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided.

In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes.

For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels.

Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.
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Kevin
I am a consultant at the World Bank and a postdoctoral researcher in applied econometrics at the University of Mons in Belgium. PhD in economics from the Free University of Brussels.


Between 2018 and 2024, I helped more than 300 students from all over the world* to pass their econometrics courses and/or master's theses.

ECONOMETRICS COURSE
I help students understand theoretical models (e.g. OLS, Logit, 2SLS, diff-in-diff, time series) and the interpretation of econometric results in a very pedagogical way. I helped 158 of 160 students pass their econometrics courses.

MASTER THESES and PROJECTS
I help students build the database, write the theoretical model and produce empirical results (descriptive statistics, graphs, tests and regressions) using Stata, R Studio, Gretl, E-views or Jamovi.
I also advise on dissertation structure and writing. All the students who have done their theses with me have passed. In addition, 10 of his students have won the best dissertation award.


*List of Universities
----------------------------------------------
• Australia: Deakin University, Brisbane Boys College
• Belgium: Université libre de Bruxelles, Université Catolique de Louvain, Katholieke Universiteit Leuven, Université de Liège, ICHEC, Universiteit Ghent, Université de Mons, Université de Namur, College of Europe, VUB Brussels School of Governance, Université du Luxembourg
• Denmark: Københavns Universitet
• France: Science Po Paris, Université Paris 1 Panthéon-Sorbonne, Université Paris-Val de Marne, Université de Bourgogne, IESEG Paris, Université de Lille, Toulouse School of Economics, Université Paris Nanterre
• Germany: Universität Mannheim
• Ireland: Trinity College Dublin
• Italy: Università Bocconi
• Netherlands: Universiteit Maastricht, Technische Universiteit Eindhoven, Erasmus Universiteit Rotterdam, Universiteit van Amsterdam
• Portugal: Nova School of Business
• Switzerland: Université de Genève, Université de Lausanne, Universität Luzern, Haute Ecole La Source, UniDistance Suisse
• United Kingdom: Imperial College London, University College London, London School of Economics, University of Cambridge, University of Bristol, University of Oxford, University of Kent, University of Bath, King's College London, University of Sheffield, Durham University, University of Sheffield
• United States: Texas Tech University, University of Nevada

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Are you preparing for your Digital and Computer Science (NSI) exams and want to maximize your chances of success? "NSI Booster: Intensive Preparation to Shine in Your Exams!" is the course you need to revise effectively, fill in your gaps, and excel on the big day! This comprehensive and intensive program is specially designed for students in Première and Terminale to master all the key concepts of the NSI program and pass with flying colors.

Why choose this NSI preparation course?
Optimize revision time: Focus on the essential concepts to save time and revise efficiently.
Deep understanding of concepts: Don't just memorize, really understand the basics of computing to succeed in the most complex exercises.
Intensive practice: Practice with corrected exercises, exam questions and past papers to be fully prepared.
Exam Methodology: Learn how to manage your time, structure your answers, and avoid common NSI question pitfalls.
Confidence and serenity: Work in a progressive and structured manner to arrive calm on the day of the exam.
What you will learn:
This course covers the entire NSI program for Première and Terminale, focusing on the concepts most often covered in exams:

1. Algorithms and Programming:
Advanced algorithms: Algorithmic complexity, recursion, sorting and searching (quick sort, dichotomous sort).
Programming in Python:
Advanced syntax: list comprehension, lambda, decorators.
Data structures: lists, tuples, dictionaries, sets.
Functions and modularity: Decomposition of the problem, reuse of code.
File Management: Reading and writing files to process real data.
Object-oriented programming: Classes, objects, inheritance, polymorphism in Python.
Practical projects: Development of complete programs to apply the concepts covered.
2. Data Structures and Algorithms:
Lists, Stacks, Queues, and Trees: Implementation, Manipulation, and Use in Problem Solving.
Graphs: Representation (adjacency matrix, neighbor list), breadth-first (BFS) and depth-first (DFS) traversal.
Sorting and searching algorithms: Merge sort, quick sort, binary search.
Algorithmic complexity: Big-O notation, analysis of algorithm performance.
3. Databases and SQL:
Data modeling: Relational model, database design with the Entity-Relationship model.
SQL:
Select, insert, update and delete queries.
Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN).
Aggregate functions and subqueries.
Optimizing queries for better performance.
Practical projects: Creation and management of databases for concrete applications.
4. Computer and Network Architecture:
Hardware architecture: Processor, memory (RAM, cache), input/output devices.
Computer operation: Instruction cycle, execution of programs in memory.
Computer networks:
OSI model and TCP/IP.
IP addressing, routing, protocols (HTTP, FTP, SMTP).
Network security: firewall, encryption, VPN.
5. Web and Front-End Development:
HTML/CSS: Structure and formatting of web pages.
JavaScript: Dynamics of web pages, manipulation of the DOM, events.
Practical projects: Creation of interactive websites to apply the skills acquired.
Methodology and educational approach:
Targeted and structured revisions: Each module is designed to cover the key concepts of the NSI program while adapting to your level and your needs.
Practical exercises and exam questions: Practice with targeted exercises and past exam questions to familiarize yourself with the exam format.
Detailed correction and personalized feedback: Each exercise is corrected in detail with a thorough explanation of the solutions.
Exam methodology: Advice on how to read and understand the statements, structure your answers and manage your time on the day of the test.
Interactive Online Classes: Classes are conducted online with the use of audio and screen sharing, ensuring seamless communication and interactive learning.
For who ?
This course is aimed at:

NSI students in their first and final year of high school who want to pass their exams with intensive and targeted preparation.
Computer science students wanting to strengthen their foundations in programming and algorithms.
Self-taught people passionate about programming and computer science looking to deepen their knowledge.
Parents who wish to support their children in their academic success in computer science.
Why choose this course?
An experienced teacher: The course is led by a computer engineer with a perfect command of the NSI program, with a clear and motivating teaching approach.
An intensive and comprehensive program: Each concept is covered in depth, with varied exercises to practice all types of questions.
Personalized support: The content and pace of the course are adapted to your level and your objectives.
Flexibility and accessibility: Learn from home at your own pace, with additional resources to deepen your knowledge.
How does it work?
Initial assessment: A personalized assessment to identify your objectives and your starting level.
Interactive online courses: Learn from home with live explanations, demonstrations and practical exercises.
Intensive training: Series of exercises and past papers to prepare you for written and practical tests.
Personalized monitoring: Receive regular feedback on your progress and advice to continuously improve.
Register now !
Don't leave anything to chance when it comes to your NSI exams. Join "NSI Booster" for intensive and targeted preparation, and give yourself every chance of excelling in your exams!
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Contact Zacharia
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Similar classes
arrow icon previousarrow icon next
verified badge
Robert
A highly experienced Franco-Belgian teacher (ook in het nederlands!) offers private lessons in mathematics (including finance), probability and statistics, as well as physics, chemistry, and biology for secondary and higher education levels. For physics, chemistry, and biology, the instruction is tailored to the secondary level, specifically up to the 5th year of secondary education in Belgium.

Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided.

In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes.

For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels.

Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.
verified badge
Kevin
I am a consultant at the World Bank and a postdoctoral researcher in applied econometrics at the University of Mons in Belgium. PhD in economics from the Free University of Brussels.


Between 2018 and 2024, I helped more than 300 students from all over the world* to pass their econometrics courses and/or master's theses.

ECONOMETRICS COURSE
I help students understand theoretical models (e.g. OLS, Logit, 2SLS, diff-in-diff, time series) and the interpretation of econometric results in a very pedagogical way. I helped 158 of 160 students pass their econometrics courses.

MASTER THESES and PROJECTS
I help students build the database, write the theoretical model and produce empirical results (descriptive statistics, graphs, tests and regressions) using Stata, R Studio, Gretl, E-views or Jamovi.
I also advise on dissertation structure and writing. All the students who have done their theses with me have passed. In addition, 10 of his students have won the best dissertation award.


*List of Universities
----------------------------------------------
• Australia: Deakin University, Brisbane Boys College
• Belgium: Université libre de Bruxelles, Université Catolique de Louvain, Katholieke Universiteit Leuven, Université de Liège, ICHEC, Universiteit Ghent, Université de Mons, Université de Namur, College of Europe, VUB Brussels School of Governance, Université du Luxembourg
• Denmark: Københavns Universitet
• France: Science Po Paris, Université Paris 1 Panthéon-Sorbonne, Université Paris-Val de Marne, Université de Bourgogne, IESEG Paris, Université de Lille, Toulouse School of Economics, Université Paris Nanterre
• Germany: Universität Mannheim
• Ireland: Trinity College Dublin
• Italy: Università Bocconi
• Netherlands: Universiteit Maastricht, Technische Universiteit Eindhoven, Erasmus Universiteit Rotterdam, Universiteit van Amsterdam
• Portugal: Nova School of Business
• Switzerland: Université de Genève, Université de Lausanne, Universität Luzern, Haute Ecole La Source, UniDistance Suisse
• United Kingdom: Imperial College London, University College London, London School of Economics, University of Cambridge, University of Bristol, University of Oxford, University of Kent, University of Bath, King's College London, University of Sheffield, Durham University, University of Sheffield
• United States: Texas Tech University, University of Nevada

verified badge
Said
Are you preparing for your Digital and Computer Science (NSI) exams and want to maximize your chances of success? "NSI Booster: Intensive Preparation to Shine in Your Exams!" is the course you need to revise effectively, fill in your gaps, and excel on the big day! This comprehensive and intensive program is specially designed for students in Première and Terminale to master all the key concepts of the NSI program and pass with flying colors.

Why choose this NSI preparation course?
Optimize revision time: Focus on the essential concepts to save time and revise efficiently.
Deep understanding of concepts: Don't just memorize, really understand the basics of computing to succeed in the most complex exercises.
Intensive practice: Practice with corrected exercises, exam questions and past papers to be fully prepared.
Exam Methodology: Learn how to manage your time, structure your answers, and avoid common NSI question pitfalls.
Confidence and serenity: Work in a progressive and structured manner to arrive calm on the day of the exam.
What you will learn:
This course covers the entire NSI program for Première and Terminale, focusing on the concepts most often covered in exams:

1. Algorithms and Programming:
Advanced algorithms: Algorithmic complexity, recursion, sorting and searching (quick sort, dichotomous sort).
Programming in Python:
Advanced syntax: list comprehension, lambda, decorators.
Data structures: lists, tuples, dictionaries, sets.
Functions and modularity: Decomposition of the problem, reuse of code.
File Management: Reading and writing files to process real data.
Object-oriented programming: Classes, objects, inheritance, polymorphism in Python.
Practical projects: Development of complete programs to apply the concepts covered.
2. Data Structures and Algorithms:
Lists, Stacks, Queues, and Trees: Implementation, Manipulation, and Use in Problem Solving.
Graphs: Representation (adjacency matrix, neighbor list), breadth-first (BFS) and depth-first (DFS) traversal.
Sorting and searching algorithms: Merge sort, quick sort, binary search.
Algorithmic complexity: Big-O notation, analysis of algorithm performance.
3. Databases and SQL:
Data modeling: Relational model, database design with the Entity-Relationship model.
SQL:
Select, insert, update and delete queries.
Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN).
Aggregate functions and subqueries.
Optimizing queries for better performance.
Practical projects: Creation and management of databases for concrete applications.
4. Computer and Network Architecture:
Hardware architecture: Processor, memory (RAM, cache), input/output devices.
Computer operation: Instruction cycle, execution of programs in memory.
Computer networks:
OSI model and TCP/IP.
IP addressing, routing, protocols (HTTP, FTP, SMTP).
Network security: firewall, encryption, VPN.
5. Web and Front-End Development:
HTML/CSS: Structure and formatting of web pages.
JavaScript: Dynamics of web pages, manipulation of the DOM, events.
Practical projects: Creation of interactive websites to apply the skills acquired.
Methodology and educational approach:
Targeted and structured revisions: Each module is designed to cover the key concepts of the NSI program while adapting to your level and your needs.
Practical exercises and exam questions: Practice with targeted exercises and past exam questions to familiarize yourself with the exam format.
Detailed correction and personalized feedback: Each exercise is corrected in detail with a thorough explanation of the solutions.
Exam methodology: Advice on how to read and understand the statements, structure your answers and manage your time on the day of the test.
Interactive Online Classes: Classes are conducted online with the use of audio and screen sharing, ensuring seamless communication and interactive learning.
For who ?
This course is aimed at:

NSI students in their first and final year of high school who want to pass their exams with intensive and targeted preparation.
Computer science students wanting to strengthen their foundations in programming and algorithms.
Self-taught people passionate about programming and computer science looking to deepen their knowledge.
Parents who wish to support their children in their academic success in computer science.
Why choose this course?
An experienced teacher: The course is led by a computer engineer with a perfect command of the NSI program, with a clear and motivating teaching approach.
An intensive and comprehensive program: Each concept is covered in depth, with varied exercises to practice all types of questions.
Personalized support: The content and pace of the course are adapted to your level and your objectives.
Flexibility and accessibility: Learn from home at your own pace, with additional resources to deepen your knowledge.
How does it work?
Initial assessment: A personalized assessment to identify your objectives and your starting level.
Interactive online courses: Learn from home with live explanations, demonstrations and practical exercises.
Intensive training: Series of exercises and past papers to prepare you for written and practical tests.
Personalized monitoring: Receive regular feedback on your progress and advice to continuously improve.
Register now !
Don't leave anything to chance when it comes to your NSI exams. Join "NSI Booster" for intensive and targeted preparation, and give yourself every chance of excelling in your exams!
Good-fit Instructor Guarantee
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Contact Zacharia