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Seit November 2022
Lehrer seit November 2022
Structural Engineering Courses (Structural Analysis, Reinforced Concrete, Steel Structures)
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Von 16 $ /Std
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You may encounter some of the necessary information for civil engineering students and employees in our lessons. You can receive training on courses such as Structural Analysis, Dynamics of Structures, Reinforced Concrete, Steel Structures, Finite Element Method, Earthquake Resistant Structure Design and the use of some computer programs (Sap2000, ETABS, Abaqus, MATLAB, AutoCad, MS Excel, Phyton). This information will be important for both students and staff.
Ort
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Online aus Türkei
Alter
Kinder (7-12 Jahre alt)
Jugendliche (13-17 Jahre alt)
Erwachsene (18-64 Jahre alt)
Seniorinnen und Senioren (65+ Jahre alt)
Unterrichtsniveau
Anfänger
Mittel
Fortgeschritten
Dauer
60 Minuten
Unterrichtet in
Englisch
Verfügbarkeit einer typischen Woche
(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
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If you want to lear the profession, which can't be replaced by AI, here I am to help you with that. If you want to master(or learn) electrical engineering with the essential skills needed to effectively utilize Revit and AutoCAD in the design and documentation of electrical systems within building projects, book first lesson with me. Through a combination of theoretical knowledge and practical hands-on exercises, students will learn how to leverage the powerful features of both software tools to create detailed electrical designs, generate accurate drawings, and collaborate seamlessly with other stakeholders in the construction process.

Key topics covered include:

- Fundamentals of electrical engineering principles and standards.
- Introduction to Building Information Modeling (BIM) concepts and workflows.
- Utilizing Revit for electrical system design, including lighting, power distribution, and circuiting.
- Integrating AutoCAD for detailed drafting, annotation, and documentation of electrical plans.
- Performing electrical load analysis and simulation to ensure system efficiency and compliance.
- Best practices for organizing, managing, and sharing electrical project data effectively.

Whether you are a beginner electrical engineer looking to enhance your skills or a newcomer to Revit and AutoCAD seeking to specialize in electrical design, working with me will provide a solid foundation to excel in the field of building services engineering.

For more information, please do not hesitate to text me.
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Kevin
► 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.
verified badge
Giorgi
Welcome to Math Journeys!
Mathematics isn't just about numbers on a page; it’s the language of the universe! On this journey, you won't just be "doing sums." You will be a pattern detective, a shape architect, and a logic explorer.
Your Mission: To look at the world around you and find the hidden math waiting to be discovered. Whether you are counting the stars or calculating the speed of a rocket, every step you take makes your "Math Brain" stronger!

1. Early Numeracy & Logic (Ages 4–6)
At the preschool and kindergarten level, math is less about formal equations and more about "number sense." This category covers:
Counting and Cardinality: Recognizing numbers and understanding that a count represents a quantity.
Sorting and Patterns: Identifying shapes, colors, and repeating sequences.
Spatial Awareness: Understanding "above," "below," "next to," and basic geometry.

2. Operations & Algebraic Thinking (Ages 7–12)
As children move into elementary and middle school, they transition from counting to calculating. This category includes:
Core Operations: Addition, subtraction, multiplication, and division.
Problem Solving: Translating word problems into mathematical expressions.
Foundational Algebra: Understanding variables and the relationship between numbers (e.g., $2 + x = 5$).

Measurement, Data & Fractions (Ages 7–12)
This category addresses the more technical side of primary school math that deals with parts of a whole and real-world application:
Fractions and Decimals: Moving beyond whole numbers to understand ratios and proportions.
Measurement: Learning units of time, length, mass, and volume.
Data Literacy: Reading simple graphs, charts, and understanding basic probability.
message icon
Sezer kontaktieren
repeat students icon
Der richtige Lehrer Garantie
Ähnliche Kursen
arrow icon previousarrow icon next
verified badge
Baia
If you want to lear the profession, which can't be replaced by AI, here I am to help you with that. If you want to master(or learn) electrical engineering with the essential skills needed to effectively utilize Revit and AutoCAD in the design and documentation of electrical systems within building projects, book first lesson with me. Through a combination of theoretical knowledge and practical hands-on exercises, students will learn how to leverage the powerful features of both software tools to create detailed electrical designs, generate accurate drawings, and collaborate seamlessly with other stakeholders in the construction process.

Key topics covered include:

- Fundamentals of electrical engineering principles and standards.
- Introduction to Building Information Modeling (BIM) concepts and workflows.
- Utilizing Revit for electrical system design, including lighting, power distribution, and circuiting.
- Integrating AutoCAD for detailed drafting, annotation, and documentation of electrical plans.
- Performing electrical load analysis and simulation to ensure system efficiency and compliance.
- Best practices for organizing, managing, and sharing electrical project data effectively.

Whether you are a beginner electrical engineer looking to enhance your skills or a newcomer to Revit and AutoCAD seeking to specialize in electrical design, working with me will provide a solid foundation to excel in the field of building services engineering.

For more information, please do not hesitate to text me.
verified badge
Kevin
► 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.
verified badge
Giorgi
Welcome to Math Journeys!
Mathematics isn't just about numbers on a page; it’s the language of the universe! On this journey, you won't just be "doing sums." You will be a pattern detective, a shape architect, and a logic explorer.
Your Mission: To look at the world around you and find the hidden math waiting to be discovered. Whether you are counting the stars or calculating the speed of a rocket, every step you take makes your "Math Brain" stronger!

1. Early Numeracy & Logic (Ages 4–6)
At the preschool and kindergarten level, math is less about formal equations and more about "number sense." This category covers:
Counting and Cardinality: Recognizing numbers and understanding that a count represents a quantity.
Sorting and Patterns: Identifying shapes, colors, and repeating sequences.
Spatial Awareness: Understanding "above," "below," "next to," and basic geometry.

2. Operations & Algebraic Thinking (Ages 7–12)
As children move into elementary and middle school, they transition from counting to calculating. This category includes:
Core Operations: Addition, subtraction, multiplication, and division.
Problem Solving: Translating word problems into mathematical expressions.
Foundational Algebra: Understanding variables and the relationship between numbers (e.g., $2 + x = 5$).

Measurement, Data & Fractions (Ages 7–12)
This category addresses the more technical side of primary school math that deals with parts of a whole and real-world application:
Fractions and Decimals: Moving beyond whole numbers to understand ratios and proportions.
Measurement: Learning units of time, length, mass, and volume.
Data Literacy: Reading simple graphs, charts, and understanding basic probability.
Der richtige Lehrer Garantie
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Sezer kontaktieren