Statistics class for undergraduate/ bachelor students

Von 36 Fr /Std

My teaching method is a combination of theory and practice. The students can bring their own exercises to solve or to better understand. I provide students with extra exercises that can be done in class or as homework.
Subjects can be:
- Statistical Methods
- Measures of location (or central tendency) and dispersion
- Probability Theory
- Random Variables
- Expectation of random variable and its properties
- Standard discrete probability distributions
- Standard continuous probability distribution
- Bivariate and multivariate Distributions
- Bivariate Transformations
- Correlation and regression
- Limit Laws
- Order Statistics
- Sampling Distribution
- Tests of significance

Ort

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Beim Schüler zu Hause :

In der Umgebung von Zürich (Kreis 3), Schweiz

Beim Lehrer zu Hause :

Adliswil, Switzerland

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

Italienisch

Fachkenntnisse

Statistik

Bewertungen

Verfügbarkeit einer typischen Woche

(GMT -05:00)

New York

Beim Lehrer zu Hause

Beim Schüler zu Hause

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Macroeconomics class and practice for university students

38 Fr /Std

My teaching method is a combination of theory and practice. The students can bring their own exercises to solve or to better understand. I provide students with extra exercises that can be done in class or as homework.
Topics can be:
- Introduction to the main topics of macroeconomics.
- Introduction to national accounting. Price index ad inflation.
- The goods market
- The financial market
- The IS-LM model
- The labor market
- The Phillips curve
- From short to long run: the AD-AS model and IS-LM-PC
- Introducing expectations into the IS-LM model
- Expectations, production, and economic policy
- Expectations and financial markets
- The open IS-LM model
- The goods and financial markets in an open economy
- Production, interest rate, and exchange rate
- Exchange rate regimes
- Economic policy in open economies
- Long-run growth. The Solow model.

Comprehensive AP Microeconomics classes for high school students

35 Fr /Std

My teaching method is a combination of theory and practice. The students can bring their own exercises to solve or to better understand. I provide students with extra exercises that can be done in class or as homework.
During the classes, all program of the exam can be covered:
• Competition and Market Structures
• Consumers
• Demand
• Elasticity of Demand
• Entrepreneurs
• Government Failures/Public-Choice Analysis
• Income Distribution
• Market Failures
• Markets and Prices
• Price Ceilings and Floors
• Producers
• Profit
• Roles of Government
• Supply

Kevin

5.0

(1)

For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life.

► How do I teach?

►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.

Kevin

5.0

(1)

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