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Since October 2020
Instructor since October 2020
Tableau Developer Training - Taught by a Tableau Ambassador
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From 28 € /h
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This comprehensive Tableau Developer training is designed to equip participants with the skills and knowledge required to become proficient Tableau Developers. Tableau is a powerful data visualization and business intelligence tool, and this class focuses on developing the expertise needed to create compelling visualizations and dashboards.

The class provides a solid foundation for the Tableau Desktop Specialist and Tableau Desktop Certified Associate exams. Participants will be guided through sample questions and exam strategies to boost their confidence for Tableau certification.

Upon completion of this training, participants will have the skills and knowledge to confidently design and develop Tableau visualizations and dashboards, making them valuable contributors to data-driven decision-making processes in their organizations.
Extra information
Bring your laptop.
Location
location type icon
Online from United Kingdom
About Me
I am an experienced education researcher and instructor with ten years. I have helped many students, even those with learning disorders, to gain competence in maths, science, project management and computer programming.

As a researcher, I have gain skills in psychotherapy, which I deploy in class, among others, to help students gain confidence and excel in their studies.
Education
I have a

Bachelors in Computer Science and Maths.

an MBA from Durham Business School, England.

Certified as a Project Manager with PMI and as a Tableau Desktop Developer.

Moreover, am an Authorised Training Partner with PMI
Experience / Qualifications
I train and prepare folks for the PMP exams
I train and coach people on Tableau & Power BI
Taught Chemistry and Maths to A-Level student
Lectures Computer Programming and Database Design in College
Taught and mentored 5-8 year old who have learning disabilities
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Reviews
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
The PMI Agile Certified Practitioner (PMI-ACP) certification is a credential offered by the Project Management Institute (PMI) that validates an individual's expertise in agile methodologies and practices. This class is designed to prepare participants for the PMI-ACP certification exam by providing a comprehensive understanding of agile principles, tools, and techniques.

The class includes comprehensive coverage of the PMI-ACP exam content outline, practice exams, and exam-taking strategies to ensure participants are well-prepared for the certification exam.

Upon completion of this class, participants will not only be equipped with the knowledge and skills required for the PMI-ACP certification but will also be prepared to apply agile methodologies in their professional roles effectively.

Typically delivered in 21hours || 7 hours of 3 days || or can be arranged to suite learner.
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An excellent facilitator in helping students develop critical thinking, retain knowledge and reach self-actualization. Moreover, I use a demonstrative coaching style when the need arises.

Excellent at helping you inculcate good numerate and problem-solving skills.
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With years of experience as an engineer in Belgium and the Netherlands, I would like to help other students navigate the sometimes complex world of mathematics and physics. During my studies, I tutored for six years in secondary schools in the regions of The Hague, Delft, Rotterdam, and Antwerp. In doing so, I aim to review the subject matter interactively with the student and link theoretical concepts as much as possible to examples from our daily lives to prepare and motivate the student.

So if you would like tutoring on one or more subjects in mathematics or physics, you can contact me.
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As an experienced math teacher, I offer private math lessons via webcam, math tutoring to catch up on gaps, as well as intensive math lessons before exams. I specialize in helping middle school/high school students with math homework and I offer distance math lessons tailored to the student's needs. My goal is to help you improve your math skills quickly and effectively prepare for the baccalaureate/brevet. I also listen to students experiencing academic difficulties and can offer you personalized support to overcome your difficulties.

Middle school or high school students from the French mission. The 2nd and 1st general Terminale specialty classes of the French system
The 5th, 4th and 3rd levels of the college
levels T and Common Core Sciences, Technological TC, 1st Baccalaureate Experimental Sciences and final year of all streams (SVT-PC-SC.Math)
My goal is to help students to:

Improve their level
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fill in their gaps
improve
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online math lessons, math tutoring, experienced math teacher. private math lessons. Online math tutoring"
"Private math tutor for [level] (e.g. middle school, high school, 3rd, final year)"
"Math lessons at home"
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“Preparation for the brevet/baccalaureate in mathematics”
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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.
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I offer professional support in sampling, surveying, data collection, and quantitative data management. This service is designed for organizations, researchers, students, NGOs, and businesses seeking to design reliable surveys and effectively utilize their data. My services include defining appropriate methodologies, designing data collection tools, fieldwork supervision, quality control, and database organization and structuring. Support is also available for analyzing and interpreting results. My services are flexible and tailored to specific needs.
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► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results.

I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly.

► STATISTICS, DATA ANALYTICS & AI SUPPORT

► STATISTICS & PROBABILITY
I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas.

► APPLIED STATISTICS WITH R
I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step.

► QUANTITATIVE METHODS & RESEARCH STATISTICS
I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly.

► DATA ANALYTICS & DATA SCIENCE
I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions.

► MACHINE LEARNING & AI FOUNDATIONS
For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models.

► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES
I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks.

► HOW I TEACH

► I FOCUS ON REAL STATISTICAL UNDERSTANDING.
Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly.

► I EXPLAIN FORMULAS STEP BY STEP.
Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly.

► I CONNECT THEORY WITH R PRACTICE.
Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language.

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► Interactive whiteboard
► Clear digital notes
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► Practical examples with real datasets
► Focused one-to-one support from Switzerland

► MY GOAL

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► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics
► MAIN TOOL: R
► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training
► FORMAT: Online tutoring from Switzerland
► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.
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Overview

Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products.

What You’ll Experience

End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation.

Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead.

Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

Who This Is For
Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.
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Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
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Learn practical Data and Business Analytics skills through structured, hands-on lessons designed around your experience and goals.

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Lessons are practical rather than purely theoretical. We can work through exercises, datasets, business scenarios and projects so you understand not only how to use the tools but also why particular approaches are used.

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I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

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This course is designed to train educators, professionals, and science enthusiasts in the art and methodology of teaching physics and mathematics. Throughout the training, participants will acquire fundamental teaching tools to transform abstract and complex concepts into clear, structured learning experiences tailored to the specific needs of each student.
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The sessions emphasize practical application: explanation of concepts, concrete examples, exercises, and then problem-solving.
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Learn PLAXIS 2D & 3D and Geotechnical Engineering with a PhD Researcher in France!

I am a PhD candidate in Geotechnical Engineering at the University of Lille, France, specializing in finite element modelling (FEM), soil–structure interaction, and advanced numerical simulations.

I offer personalized online lessons for civil engineering students, master's and PhD students, researchers, and practicing engineers.

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PLAXIS 2D & 3D
Getting started with PLAXIS and understanding the modelling workflow.
Geometry creation, soil layers, materials, and boundary conditions.
Soil constitutive models and parameter selection.
Mesh generation and staged construction.
Foundation settlement and soil–structure interaction.
Retaining walls, excavations, and underground structures.
Results interpretation and model validation.

Geotechnical Engineering

Soil Mechanics and Foundation Engineering.
Earth pressure and retaining structures.
Settlement and bearing capacity.
Soil–structure interaction.
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My goal is to help you understand both the engineering principles and their practical implementation in numerical modelling software.

Lessons are available online in English, Arabic, or French.

Feel free to contact me to discuss your learning objectives and arrange a personalized lesson!
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Soy Ingeniera Informática por la Universidad Carlos III de Madrid y trabajo como Data Engineer, construyendo plataformas de datos en la nube con Snowflake y Azure. En mis clases aprenderás lo que de verdad se usa en el mundo profesional, explicado de forma clara y práctica.

Puedo ayudarte con:
- Programación desde cero: lógica, Python, Java o C
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Learn to program with a practical, patient approach. I'm a working software engineer with a bachelor's degree in informatics, and I teach students who want to truly understand code, not just copy it.

Languages and technologies I can teach:
- Java, C++ and C#: fundamentals, object-oriented programming, data structures and algorithms
- JavaScript and TypeScript: from the basics to modern syntax, typing and working with APIs
- HTML & CSS: building and styling real web pages
- SQL and relational databases: queries, joins and database design

What we can do together:
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- Build a small project from idea to working result
- Understand concepts you are stuck on, such as recursion, pointers, OOP or async code
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Lessons are 45 minutes long and fully adapted to you. We write code together, I explain the reasoning behind each step, and you gradually take over. Beginners are very welcome, and so are students who already know the basics and want to move forward faster.

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With years of experience as an engineer in Belgium and the Netherlands, I would like to help other students navigate the sometimes complex world of mathematics and physics. During my studies, I tutored for six years in secondary schools in the regions of The Hague, Delft, Rotterdam, and Antwerp. In doing so, I aim to review the subject matter interactively with the student and link theoretical concepts as much as possible to examples from our daily lives to prepare and motivate the student.

So if you would like tutoring on one or more subjects in mathematics or physics, you can contact me.
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As an experienced math teacher, I offer private math lessons via webcam, math tutoring to catch up on gaps, as well as intensive math lessons before exams. I specialize in helping middle school/high school students with math homework and I offer distance math lessons tailored to the student's needs. My goal is to help you improve your math skills quickly and effectively prepare for the baccalaureate/brevet. I also listen to students experiencing academic difficulties and can offer you personalized support to overcome your difficulties.

Middle school or high school students from the French mission. The 2nd and 1st general Terminale specialty classes of the French system
The 5th, 4th and 3rd levels of the college
levels T and Common Core Sciences, Technological TC, 1st Baccalaureate Experimental Sciences and final year of all streams (SVT-PC-SC.Math)
My goal is to help students to:

Improve their level
Deepen their knowledge
Assimilate their courses
fill in their gaps
improve
I am also able to support them in preparing for their exams and competitive entrance exams to the grandes écoles, as well as provide them with homework help. I am convinced that I have the qualities required to enable my students to progress and perhaps even give them a taste for this subject!
I am considered one of the best online math tutors. I also offer math support for French mission students and math help for international students wishing to follow the French curriculum.
online math lessons, math tutoring, experienced math teacher. private math lessons. Online math tutoring"
"Private math tutor for [level] (e.g. middle school, high school, 3rd, final year)"
"Math lessons at home"
“Math help for struggling students”
"Math lessons to improve grades"
“Preparation for the brevet/baccalaureate in mathematics”
"Online math teacher for [level]"
"Cheap math tutoring"
"Personalized online math lessons"
“Find a certified math teacher”
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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.
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I offer professional support in sampling, surveying, data collection, and quantitative data management. This service is designed for organizations, researchers, students, NGOs, and businesses seeking to design reliable surveys and effectively utilize their data. My services include defining appropriate methodologies, designing data collection tools, fieldwork supervision, quality control, and database organization and structuring. Support is also available for analyzing and interpreting results. My services are flexible and tailored to specific needs.
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► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results.

I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly.

► STATISTICS, DATA ANALYTICS & AI SUPPORT

► STATISTICS & PROBABILITY
I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas.

► APPLIED STATISTICS WITH R
I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step.

► QUANTITATIVE METHODS & RESEARCH STATISTICS
I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly.

► DATA ANALYTICS & DATA SCIENCE
I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions.

► MACHINE LEARNING & AI FOUNDATIONS
For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models.

► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES
I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks.

► HOW I TEACH

► I FOCUS ON REAL STATISTICAL UNDERSTANDING.
Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly.

► I EXPLAIN FORMULAS STEP BY STEP.
Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly.

► I CONNECT THEORY WITH R PRACTICE.
Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language.

► I HELP STUDENTS CHOOSE THE RIGHT METHOD.
Many students struggle with deciding whether to use a t-test, chi-square test, ANOVA, regression or another method. I teach students how to recognise the correct approach from the question or dataset.

► I TRAIN INTERPRETATION AND EXAM TECHNIQUE.
Students learn how to structure statistical answers, write clear conclusions, explain p-values, interpret confidence intervals and present results professionally.

► I ADAPT EVERY LESSON TO THE STUDENT.
Some students need help with theory, others with R coding, assignments, research projects or exam preparation. I adjust every lesson to the student’s exact course, level and goals.

► YEARS OF EXPERIENCE WITH STATISTICS, DATA & UNIVERSITY STUDENTS

Over the years, I have successfully supported students from demanding academic programmes, helping them strengthen their statistical understanding, improve their analytical thinking and achieve excellent progress in Statistics, Data Analytics, Machine Learning and AI.

► ONLINE LESSONS

► Interactive whiteboard
► Clear digital notes
► Step-by-step statistical explanations
► R support for data analysis
► Exam preparation
► Assignment and project guidance
► Practical examples with real datasets
► Focused one-to-one support from Switzerland

► MY GOAL

My goal is not only to help students pass exams or complete assignments, but to help them truly understand Statistics. With the right guidance, statistical methods become logical, practical and much easier to apply.

► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics
► MAIN TOOL: R
► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training
► FORMAT: Online tutoring from Switzerland
► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.
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Overview

Transitioning from learning data science theory to solving actual business problems is the hardest step for any aspiring data professional. [Insert Chosen Course Title] is an intensive, mentor-led program designed to simulate a real-world data team environment. Instead of working through synthetic, pre-cleaned textbook datasets, you will take on messy, complex industry scenarios and turn them into end-to-end data products.

What You’ll Experience

End-to-End Execution: Walk through the full data lifecycle—from problem scoping and data extraction to exploratory analysis, modeling, and executive stakeholder presentation.

Industry-Standard Workflows: Work with messy real-world datasets, practice Git-based version control, write production-ready code, and structure reports that business leaders actually care about.

1-on-1 & Group Mentorship: Receive continuous code reviews, architectural feedback, and project guidance mirroring the experience of working under a Senior Data Scientist or Analytics Lead.

Portfolio-Ready Deliverables: Graduate with 2–3 complete, polished projects that demonstrate actual business value to hiring managers—not just another churn prediction copy-pasted from Kaggle.

Who This Is For
Aspiring Data Analysts, Data Scientists, and recent graduates who know Python, but want the practical experience, confidence, and portfolio needed to land high-impact roles in the industry.
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Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals.

The course content is titled: Advanced Analysis and Data Mining.
The book can be searched for using its name or the author's name.

Table of Contents

Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
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Learn practical Data and Business Analytics skills through structured, hands-on lessons designed around your experience and goals.

These lessons are suitable for beginners and developing learners who want to understand how data can be collected, analysed, interpreted and used to support business decisions.

Lessons can cover Excel, data cleaning and preparation, spreadsheets, formulas and functions, data analysis, data visualisation, dashboards, reporting, KPIs, business requirements and turning raw data into useful business insights.

Depending on your goals, we can also explore tools and concepts used within real business environments, including Power BI, databases, data quality and business reporting.

Lessons are practical rather than purely theoretical. We can work through exercises, datasets, business scenarios and projects so you understand not only how to use the tools but also why particular approaches are used.

Lessons can be adapted for people starting from scratch, students developing their analytical skills, professionals wanting to improve their confidence with data, or people considering a career in Data or Business Analytics.
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I specialize in tutoring programming and software development, with a focus on Java, Spring Boot, Angular, SQL. My goal is to help students build a strong understanding of programming while keeping lessons practical, engaging, and appropriately challenging—not overwhelming. This class is designed for students and aspiring developers who want to strengthen their programming skills or start their journey in software engineering. We can work on programming fundamentals, web development, databases, APIs, backend and frontend development. I use practical examples and hands-on exercises to help you understand concepts and apply them to real-world projects.
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I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
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This course is designed to train educators, professionals, and science enthusiasts in the art and methodology of teaching physics and mathematics. Throughout the training, participants will acquire fundamental teaching tools to transform abstract and complex concepts into clear, structured learning experiences tailored to the specific needs of each student.
The course begins at the basic level, prioritizing intuitive learning and the use of practical examples. At the intermediate level, the development of analytical rigor in algebra, trigonometry, and classical physics is addressed. At the advanced level, tools are provided for teaching proofs, higher calculus, and more abstract physical models.
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Do you want to learn SQL, better understand databases, or get support with your exercises and projects?
As a computer science teacher, I have taught databases at the university level. I offer progressive support tailored to each learner's level.
We can work on data modeling, relational databases, tables and relationships, primary and foreign keys, as well as SQL queries: SELECT, WHERE, JOIN, GROUP BY, subqueries and other concepts depending on your level.
The sessions emphasize practical application: explanation of concepts, concrete examples, exercises, and then problem-solving.
The course can also serve as support to understand a course, prepare for an assessment or progress on a personal or academic project.
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Learn PLAXIS 2D & 3D and Geotechnical Engineering with a PhD Researcher in France!

I am a PhD candidate in Geotechnical Engineering at the University of Lille, France, specializing in finite element modelling (FEM), soil–structure interaction, and advanced numerical simulations.

I offer personalized online lessons for civil engineering students, master's and PhD students, researchers, and practicing engineers.

What you can learn:

PLAXIS 2D & 3D
Getting started with PLAXIS and understanding the modelling workflow.
Geometry creation, soil layers, materials, and boundary conditions.
Soil constitutive models and parameter selection.
Mesh generation and staged construction.
Foundation settlement and soil–structure interaction.
Retaining walls, excavations, and underground structures.
Results interpretation and model validation.

Geotechnical Engineering

Soil Mechanics and Foundation Engineering.
Earth pressure and retaining structures.
Settlement and bearing capacity.
Soil–structure interaction.
Personalized Learning

Lessons are adapted to your experience, from beginner to advanced level. We can work through practical examples, discuss theoretical concepts, or review your own numerical models step by step.

My goal is to help you understand both the engineering principles and their practical implementation in numerical modelling software.

Lessons are available online in English, Arabic, or French.

Feel free to contact me to discuss your learning objectives and arrange a personalized lesson!
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Soy Ingeniera Informática por la Universidad Carlos III de Madrid y trabajo como Data Engineer, construyendo plataformas de datos en la nube con Snowflake y Azure. En mis clases aprenderás lo que de verdad se usa en el mundo profesional, explicado de forma clara y práctica.

Puedo ayudarte con:
- Programación desde cero: lógica, Python, Java o C
- Bases de datos y SQL, desde consultas básicas hasta nivel avanzado
- Análisis de datos, Excel y herramientas digitales
- Apoyo en asignaturas de Bachillerato, FP y universidad
- Orientación para quienes quieren reconvertirse al sector de datos

Cada clase se adapta a tu nivel y objetivos, con ejercicios y pequeños proyectos prácticos para que lo aprendido se quede. Doy clases en español e inglés (viví 4 años en EE. UU.).
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Learn to program with a practical, patient approach. I'm a working software engineer with a bachelor's degree in informatics, and I teach students who want to truly understand code, not just copy it.

Languages and technologies I can teach:
- Java, C++ and C#: fundamentals, object-oriented programming, data structures and algorithms
- JavaScript and TypeScript: from the basics to modern syntax, typing and working with APIs
- HTML & CSS: building and styling real web pages
- SQL and relational databases: queries, joins and database design

What we can do together:
- Learn programming from scratch, step by step, with no prior knowledge needed
- Work through university or school assignments and prepare for exams
- Build a small project from idea to working result
- Understand concepts you are stuck on, such as recursion, pointers, OOP or async code
- Prepare for a technical interview or your first job in IT
- Learn good practices used in real-world software development: clean code, debugging, version control (Git)

Lessons are 45 minutes long and fully adapted to you. We write code together, I explain the reasoning behind each step, and you gradually take over. Beginners are very welcome, and so are students who already know the basics and want to move forward faster.

Lessons are available online, or in person in Zagreb. They can be held in English or Croatian.
Good-fit Instructor Guarantee
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