Statistics class for undergraduate/ bachelor students

From 64.38 C$ /h

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

Location

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At student's location :

Around Zürich (Kreis 3), Switzerland

At teacher's location :

Adliswil, Switzerland

Age

Children (7-12 years old)

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

Italian

Skills

Statistics

Reviews

Availability of a typical week

(GMT -05:00)

New York

At teacher's location

At student's home

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

67.96 C$ /h

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

62.59 C$ /h

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

Ghassen

5.0

(6)

Analyst Statistician Analyst and Actuary gives mathematics and statistics courses for all levels. Help with the realization of the statistical and quantitative part during a Bachelor or Master project. Mastery of SPSS and R software

Private individual lessons and / or small groups.

Ps: Since I'm no longer in Lausanne, I give my classes largely by Skype but I also move to Zurich.

Mattia

5.0

(6)

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University.

Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading.

Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science

I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl.

Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,...

Technical Skills (application and often implementation from scratch):

1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity

2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution

3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment

4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup

5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

Tina

5.0

(6)

Biologist by training (with a doctorate in natural sciences from the University of Zurich), I offer private lessons or tutoring for primary and secondary school students, for high school and college students, biology, chemistry, social sciences, medicine (etc.).

Eva

5.0

(6)

Experienced and specialised tutor prepares students for Edexcel AS, A Levels and IGCSE exams in Mathematics, Statistics and Physics. GUARANTEED SUCCESS WITH 15% REFUND IN CASE OF FAILURE (*)!!!!

A little about myself and my background:
I am graduate of the Department of Mathematics of the Aristotle University of Thessaloniki, Greece. For the last eight years, my passion for the field that I studied and the will to share it with others, the joy to connect with, guide and evolve people, had temporarily set the potential for a career as a teacher. I found extremely rewarding to teach high-school children and provide supporting education to university students in Math, Physics and Chemistry. All my students had 100% in their exams and today they continue their education dream in the university of their choice.
Since I was offering private lessons I had the chance to bond with every single student, to build trust and inspire admiration of the subjects which led to continuous improvement and achievements. This ability and the excellent feedback of the students and their parents drew the attention of a supportive education night school that offered me a permanent role as a teacher.
From 2017, I live and work as a teacher in a Private School here in Zurich, Switzerland. I am exciting for this position, because I believe it utilizes the knowledge and technical skill set that I obtained and at the same time improve my soft skills, test my limits and provide me with valuable professional experience.
I strongly believe that the most important part of a science class is for the student to understand the reason behind and this usually can easily be succeeded with real-life examples. Every student is different and the teacher needs to adapt the class to his needs, strengths and weakness.

(*) The student will be given an evaluation test in the beginning of the class to prove his level and background. Depending on his level, given personal preparation and good collaboration with the tutor the corresponding exam success is guaranteed.

Oliver

5.0

(6)

When I was a young child, I believed I was not a mathematical person.

It wasn't until I met an amazing teacher at age 15 that I discovered my mathematical genius and my life was changed forever.

I'm eternally grateful to that teacher.

My teacher knew that self-image and self-belief is the key to unlocking your child's mathematical abilities.

Everyone is good at maths, but we all have different styles of thinking.

Bad teachers teach every child the same way.

My job is to find your child's style of mathematics and allow him to discover that for himself.

When he discovers that, he will begin to enjoy the beauty and power of mathematics...and then you will see as the grades begin to soar.

👉Click the blue "Contact Oliver" button above and let's discuss how we can unlock your child's mathematical talents! 😊

Charles

5.0

(6)

I’ll provide custom mathematics courses for all levels, from lycée to university. I’ll help you for both practical exercises and theoritical courses.

I have bern hired as a mathematics Teaching Assistant by EPFL for 2 years during my Bachelor’s. I’m now a Master student in Applied Mathematics at ETH Zürich.

Gianmarco

5.0

(6)

I'm graduated in quantitative Finance and I have a master degree in Financial Mathematics. I'm currently working as a quant in a top Tier bank. This module covers:

- Basic statistics (expected value, variance, mean, ...);
- Random variable theory;
- Regression analysis;
- Stochastic processes (AR, MA, ARMA, ARIMA, white noise);
- Calibration of models on real data;

Lucas

5.0

(6)

I am in my second year of a Master's degree in Statistics at ETH Zurich and I offer courses in mathematics or physics for all levels, from middle school to third year of graduate studies. Having worked as an assistant in advanced analysis and physics at EPFL, I know how to adapt to the needs of each student so that the course matches their level and helps them progress effectively. I am fluent in French and English, which allows me to teach in both languages according to your preferences.

Nick

5.0

(6)

I am an Economics graduate with the strong background in Econometrics, Statistics, and Data Analytics. Moreover, I have worked for Unilever (Fortune 200 company) as a Data Analyst, where I have applied my Econometrics, Statistics, Economics and Data Analytics knowledge using tools such as: Python (Pandas, Numpy), MS Excel, MS PowerPoint, MS PowerBI and SQL.

Due to my educational background I possess high level knowledge of:

-Linear, Multiple and Logistic regression and time series analysis.
-Give interpretations and predictions of regression analysis.
-Descriptive statistics (Mean, Median Mode, Skewness, Kurtosis, etc.)
-Inferential statistics
-Chi-Square Tests, Confidence Interval
-Monte Carlo simulation
-Anova Analysis
-Hypothesis Testing (T -tests, Z test, F-tests),
-Correlation Analysis and interpretation.
-Non-Parametric Tests (Kruskal-Wallis, Wilcoxon Signed Rank Tests, etc.)

Tools: MS Excel, MS PowerPoint, MS PowerBI, Python (Pandas, Numpy, Matplotlib, Spark), STATA, eViews, SQL

Cris

5.0

(6)

Having >5 years of teaching students, I can successfully facilitate your understanding of statistics & psychometrics, also focusing on goal-setting and integrating your approach to learning in our sessions.
I balance patience with productivity in our lessons, and adapt the lessons to fit your needs.

I worked at the University of Groningen where I taught statistics, research methods, and advised researchers on data analysis. Your learning progress is in good hands ^^

Safa

5.0

(6)

My background in programming and statistics allows me to bring a unique perspective to my math tutoring sessions. I can help students understand how mathematical concepts and techniques are used in real-world applications, and I can provide them with the skills they need to analyze and interpret data effectively.

Overall, my combined experience in mathematics, programming, and statistics makes me a well-rounded and versatile tutor who can provide students with a comprehensive understanding of math and its applications. Let's work together to achieve your academic goals and unlock your full potential in math and beyond!

Kevin

5.0

(6)

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.