Biostatistics and Multivariate Analysis (R, XLstat, XL, Past software)👩‍💼🌠📊📈Decoding Data to Better Understand Science

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From 26 C$ /h

This course provides an in-depth introduction to biostatistical methods and multivariate analyses applied to environmental and biodiversity sciences and biology. It aims to equip participants with the tools needed to analyze and interpret complex data from ecological studies, with an emphasis on the practical application of statistical methods.

The topics covered include:
✅ The basics of biostatistics (descriptive statistics, hypothesis testing, statistical inferences)
✅ Multivariate analysis methods (ACP, AFC, RDA, CCA, etc.)
✅ The use of specialized software (R, Python, or others) for visualization and interpretation of results
✅ The application of statistics to biodiversity studies and community ecology

Through case studies and practical work, participants will learn how to manipulate real data and extract relevant information for decision-making in environmental sciences. This course is intended for students, researchers and professionals wishing to strengthen their skills in data analysis applied to biological and ecological sciences.

Location

Online from Spain

About Me

Passionate about the environment and biodiversity. I have a PhD in environmental sciences and am an expert in the study of planktonic populations (phytoplankton and zooplankton), especially taxonomy and morphological and molecular species identification. Through my research and international experiences in France and Spain, I have developed advanced expertise in data analysis and plankton taxonomy, water quality, ecotoxicology, the functioning of aquatic ecosystems, biostatistics, bioinformatics, ecology, environment and sustainable development.

In parallel with my scientific work, I have a great interest in teaching and sharing knowledge. Having acquired a solid command of French, Arabic and English, I wish to support learners in their linguistic journey through an interactive and immersive approach. My goal is to make language learning accessible, stimulating and adapted to the needs of each individual.
I worked for 4 years as a part-time teacher at the university, in the faculty of medicine and biology. I also have more than 3 years of experience in teaching support courses in foreign languages, mathematics, physics and science for students.
In addition, I provide training in the identification of freshwater plankton and taxonomy, as well as in bibliographic research and the use of Mendeley and EndNote software, writing scientific articles, etc. I have also provided training and freelance work in statistical analyses applied to ecology and biology.

Education

Doctor of Biology, Specialty: Biodiversity and Ecosystem Management
State environmental engineer
Master in Environmental Sciences
Biostatistics
Taxonomy
Biology

Experience / Qualifications

Part-time lecturer at the university (4 years) – Faculty of Medicine and Biology.
Experience in teaching and educational support: more than 3 years of support courses in foreign languages (French, Arabic, English), mathematics, physics and science for students.
Expertise in taxonomy and identification of freshwater plankton, with specialized training.
Advanced skills in statistical analysis applied to ecology and biology, with use of specialized software (R, Past, XLstat, XL, Rstudio, Python).
Experience in bibliographic research and reference management with Mendeley and EndNote.
Writing and publication of scientific articles.
International research experience (France and Spain), participation in conferences and scientific publications.
Passion for teaching and knowledge transmission, with a training project in data analysis and plankton identification.

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

90 minutes

120 minutes

The class is taught in

French

Arabic

English

Spanish

Skills

Statistics

Microsoft excel

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Language Travel 🗺🌍✈️ Master French, Arabic and English with Confidence!

26 C$ /h

Dive into an immersive and dynamic learning experience with my trilingual language course! Whether you are a beginner or want to improve your level, this program will guide you step by step in mastering French, Arabic and English.
Through an interactive approach, you will develop your skills in comprehension, oral and written expression, while discovering the cultural subtleties of each language. Our fun and practical methods include games, dialogues, role-playing and multimedia supports for effective and motivating learning.

Join me and open the doors to a world without borders by becoming a polyglot with ease and confidence!

🌊Blue Science 💧: Explore, Understand and Preserve Aquatic Ecosystems🌱🐠🪼🐟💧🌊🧬🦠🧫📝

28 C$ /h

The Blue Science course offers a complete immersion in the study of aquatic ecosystems, addressing their dynamics, functioning and biodiversity. Intended for students, researchers and environmental science enthusiasts, this program explores the complex interactions between aquatic organisms and their environment, integrating modern approaches to taxonomy, ecology and natural resource management.

Topics covered:
✅ Functioning of aquatic ecosystems: trophic structures, biotic and abiotic interactions, biogeochemical cycles.
✅ Population and community dynamics: ecological mechanisms, response to environmental changes, functional approach to ecosystems.
✅ Taxonomy and identification of plankton: phytoplankton and zooplankton, key role in water quality, classification and identification methods.
✅ Bioindication and biomonitoring: use of aquatic organisms as indicators of environmental quality.
✅ Impacts of human activities and climate change: eutrophication, pollution, conservation and restoration of aquatic ecosystems.
✅ Methods for studying and analyzing aquatic ecosystems: field and laboratory techniques, statistical analyses and ecological modeling.

Through an approach combining theory, case studies and practical exercises, this course offers comprehensive and applied training to understand and protect aquatic environments, essential to biodiversity and maintaining ecological balances.

Adam

4.81

(27)

Demystifying probabilities and data processing
Statistics and probability occupy an increasing place in the secondary school curriculum and directly prepare students for the requirements of higher education (economics, medicine, engineering, humanities).

The sessions will include:

Descriptive statistics (means, standard deviations, graphical representations).

Conditional probabilities, probability laws and combinatorics.

Analysis, interpretation of datasets and sampling logic.

Targeted training based on typical exercises and exam problems.

Madara

4.81

(27)

I am a Doctor of Psychology (PhD) and researcher with extensive experience in teaching and mentoring. Since October 2016, I have successfully tutored undergraduate, postgraduate, and Ph.D. students, as well as professionals, in areas including Psychology (AS, A-level (AQA or other exam boards), and degree level), Statistics, Data Analysis, SPSS, Jamovi, JASP, R/RStudio, Research Methods, and in support of research projects, theses, and dissertations.

I specialise in Clinical Psychology, particularly reading disabilities and dyslexia, though I also have strong knowledge across other areas of psychology, research methodology, and data analysis, with expertise in SPSS.

I offer individual, live, one-to-one online sessions via Zoom, tailored to your learning goals. I can also recommend relevant literature and provide resources from my own curated database to support your studies and research.

Amin

4.81

(27)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Salah

4.81

(27)

Optimize Your Efficiency with Microsoft Office: Unleash Your Creativity at Every Level!

If you're looking for a solution to improve the efficiency, creativity and productivity of your daily tasks, look no further than Microsoft Office.

Why Choose Microsoft Office?

Unleash Your Creativity: Word, Excel, PowerPoint and many other applications give you powerful tools to bring your ideas to life, whether you're creating professional documents, building impactful financial dashboards or designing impressive presentations.

Save Time with Automation: Excel simplifies complex tasks with smart formulas, pivot tables, and other nifty features.

Available Anywhere: Whether you're in the office, on the road, or at home, Microsoft Office is accessible on all your devices, allowing you to work wherever and whenever you want.

Join the Microsoft Office Revolution!

Don't let daily challenges slow down your progress. Invest in the power of Microsoft Office to unlock your full potential.

Transform the way you work, create easily, and reach new heights with Microsoft Office. Sign up now to master Microsoft Excel, Microsoft Word, and Microsoft PowerPoint at every level, whether you're beginner, intermediate, or advanced.

Medo

4.81

(27)

With over 12 years of experience teaching mathematics

in high school, I offer math support lessons.

Class description: As a highly qualified mathematics teacher, graduated from the teachers' college and with 11 years of teaching in public high schools, I offer tutoring courses in mathematics at home.

My courses are aimed at students in the 2nd and 1st general classes, Terminale specialty of the French system, as well as for the 5th, 4th and 3rd levels of the college. T and Common Core Sciences, Technological TC, 1st Bac Experimental Sciences, final year of all sectors (SVT-PC-SC.Math-L),

My primary objective is to help students improve their level, deepen their knowledge, fill their gaps and improve in the discipline of mathematics. I also offer support in the preparation of exams and competitions for access to major schools, as well as homework help for overall success in the subject.

With my advanced math skills, I am committed to providing effective tools and techniques to help my students progress. My interactive, student-centered teaching approach allows for a deeper understanding of mathematical concepts and practical application of acquired knowledge.

By choosing my mathematics tutoring courses, students can expect individual attention and personalized help to overcome their difficulties and achieve their goals. I am confident in my skills to help students of all levels progress and succeed in this demanding subject.

My dynamic and stimulating teaching methods aim to help students acquire self-confidence that will follow them throughout their lives.

Kevin

4.81

(27)

► 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.

Brent

4.81

(27)

Are you drowning in countless formulas? Is your head starting to explode with equations and graphs? Don't panic! Math doesn't have to be a stumbling block. With the right explanation and a calm approach, it often becomes much clearer. Together, we'll tackle it step by step, at your pace.

For whom?
- Students from primary and secondary education
- Children and young people preparing for exams or tests
- Anyone who wants to give mathematics a second chance, including adults

What can you expect?
- I explain the often complicated mathematical language in clear, human language
- Focus on insight, not just learning tricks and formulas by heart
- Exercises that we tackle together
- Space for questions, repetition and building self-confidence
I can also prepare exercises and even complete practice exams myself.

About me
I'm currently pursuing my Master's degree in Data Science/Analytics at the University of Antwerp. In high school, I had seven hours of math a week and always passed my exams with high marks. I've been happily tutoring students of various levels for several years now. I'm analytical, but also calm, patient, and good at sensing exactly where things are going wrong.

Practical:
- 1-on-1 lessons, online, at my place or at yours (if you don't live too far away)
- We will go through your material together or I will provide my own material
- Your own pace and approach, completely tailored to you

I have already successfully guided students with:
- Mathematics in secondary education: from the 1st to the 6th year, for various fields of study and schools, including Latin at Sint-Michielscollege Brasschaat, Economics-Mathematics at KA Schoten, and Humanities at Annuntia.
- Arithmetic in primary education: pupils in the 4th, 5th, and 6th grades, including mental arithmetic, written calculation, and other arithmetic skills.
- Mathematics in the Electromechanics program at AP University of Applied Sciences.

Feel free to send me a message with your questions or concerns, and we'll discuss how I can best support you.

Marc

4.81

(27)

🎓My name is Marc, I have a Master 2 degree in Applied Mathematics and Statistics and a Master 2 degree in Mathematics.
I teach mathematics and computer science to the following levels:
• Middle school (all grades)
• High school: common core curriculum, mathematics specialization, advanced mathematics
• Higher education: BTS, BUT, Bachelor's degree, private schools (probability, statistics, analysis, algebra, etc.)

📍 Areas of intervention
• At home: Marseille
• Online: throughout France (video conference lessons, shared materials, exercises sent after the lesson).

🧠 My method
• Review of the basics to fill in the gaps
• Simple explanations + concrete examples
• Targeted exercises to prepare for tests, exams, baccalaureate, midterms, etc.
• Implementation of a work method (worksheets, time management, writing)

🧮 For whom?
• Students who are struggling and want to improve their grades
• Students aiming for a good grade in the Brevet/Bac exams
• Higher education students who want to succeed in their math/statistics/computer science (python) exams.

⏰ Availability
• In the evenings on weekdays, and it's possible during the day on certain days of the week.
• Weekends
• School holidays (possibility of revision courses in small groups).

Intasar

4.81

(27)

I have graduated with a degree in chemical engineering from the University of Edinburgh, UK. I am also an Erasmus Mundus scholar with a master's in Analytical Chemistry from Uppsala University. Currently, I am pursuing a PhD in physical chemistry.

I have been tutoring since 2012 to fund my education expenses. I formally began tutoring in 2014 as part of my vocational training as a teacher in Ghana, funded by the University of Edinburgh. The formal training has taught me a lot about curriculum development, time management, and fusing my teaching methodology to my students’ needs. I have been tutoring in Physics, Chemistry, and Math, in person and online; the hybrid model has allowed me to reach out and teach students in 8 different countries. I have successful students from these past nine years who have not only commended my work ethic but can also stand testament to my enthusiasm.

My excellent academic career has nurtured in me a natural talent for teaching. My experiences have taught me how to tackle one problem at a time, and I believe that using this approach—paired with my unconventional examples that force students to think outside the box—I can truly provide an excellent understanding and explanation. My teaching methodology is based on two main things: skill development and adaptation. Initially, I create a skeleton of the most suitable methodology tailored to the preferred curriculum, after which, I adapt that lecture to the specific needs of the student based on their knowledge and grasp of the concepts. Second, I like to develop analytical and scientific ability along with knowledge in my students, and for that, I use a combination of resources in the form of worksheets, class tasks, and past papers. Last, I believe in the strong ethic of providing feedback to the parents, so that they are aware of their child’s progress.

Frequently Asked Questions:
Which subject(s) do you teach?
I teach math, mechanics, statistics, chemistry and physics. I also teach biology up to GCSE level.

When are you available? My timetable is quite flexible. I am happy to work weekdays, week evening and weekends.

Which ages and levels do you teach? The majority of my students are between the ages of 10-18, but I also teach college Students. I am also helping foundation and first year university students.

Which qualifications do you prepare your students for? GCSE, IGCSE, A/S-level, A-level, IB, School entrance exams and SATs

Describe your arrangements for online tutoring? I use Zoom online sessions since it has many tools and features specially designed for interactive and visual learning. I am fully equipped with modern gadgets for e-learning. I use Google drive and docs to share files.

Raouf

4.81

(27)

The first years of Bachelor's and Master's degrees are often intense and stressful. The first few weeks are the ideal time to fill in any gaps in your knowledge, consolidate what you've learned, and get a head start on the program without the pressure of the academic year.

This course offers tailor-made support, specifically adapted to the requirements of the Luxembourg university system (Uni.lu, etc.).

Who should attend ?

This program is aimed at students who will face crucial challenges at the start of the academic year:
- Students entering Bachelor's degree: For future students in science, economics, computer science or engineering requiring a smooth transition to university mathematics.
- Students aiming for a Master's degree: For strengthening the advanced analytical skills required in higher education.

Program and Objectives by Level

| **Bachelor's Degree** | Acquire academic rigor and methods. | Linear Algebra, Differential and Integral Calculus, Sequences and Series. |
| **Master's** | Deepening knowledge of complex mathematical tools. | Advanced Statistics, Optimization, Modeling, Algorithms. |

My Methodology

My approach is student-centered and results-oriented:

1. Initial assessment: During our first session, we identify your strengths and areas for improvement.
2. Personalized action plan: We define a work schedule adapted to your summer rhythm so as not to encroach on your rest.
3. Understanding before application: Clear and simplified explanation of abstract theoretical concepts.
4. Intensive practice: Solving progressive exercises, past exam papers and practical cases.
5. Toolbox: Provision of summary sheets, problem-solving methods and tips to save time on the day.

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💡 Practical Information

Format: Online course
Flexibility: Flexible hours to suit your availability.
Follow-up: Available via message between classes for any blocking questions.

Invest in your success today.
Contact me to discuss your goals and book your slot!

Fisnik

4.81

(27)

Do you have a statistics or probability exam in BA1/BA2? I can help you review the material in a clear, structured and exam-oriented way.

I support higher education students (university and college), particularly in their first and second years of undergraduate studies, to understand important concepts, redo practical exercises, and practice with exam-style questions.

My goal is simple: to help you understand the logic behind formulas, know when to use them, recognize correct reasoning in a statement, and gain autonomy when facing exercises.

Subjects covered according to your program:

• Descriptive statistics:
mean, median, variance, standard deviation, quartiles, quantiles, coefficient of variation, box plots, histograms, graphs, interpretation of tables and data.

• Univariate and bivariate statistics:
analysis of one variable, analysis of two variables, scatter plots, covariance, correlation, regression line, coefficient of determination, interpretation of relationships between variables.

• Probabilities:
events, union, intersection, complement, conditional probabilities, independence, Bayes' theorem, probability trees, contingency tables.

• Combinatorial probabilities:
permutations, arrangements, combinations, draws with or without replacement, counting, classic exam situations.

• Random variables:
discrete and continuous variables, probability function, density function, distribution function, expectation, variance, standard deviation, variable transformation.

• Probability laws:
Bernoulli distribution, binomial distribution, normal distribution, standard normal distribution, Student's t-distribution, chi-square distribution, use of statistical tables according to your course.

• Statistical inference:
sampling, estimators, point estimation, confidence intervals, margin of error, degrees of freedom, confidence level.

• Hypothesis testing:
null hypothesis H0, alternative hypothesis H1, significance threshold, p-value, one-tailed or two-tailed test, test on a mean, test on a proportion, chi-square test, interpretation of results.

• Exam preparation:
reading statements, choosing the right method, identifying the formulas to use, typical exercises, past exams, guided corrections and problem-solving methods.

Method of working :

1. We quickly identify the chapters that are causing problems;
2. I re-explain the theory with simple examples;
3. We redo the important exercises together;
4. I will show you how to recognize good reasoning in the exam;
5. We construct a clear method that can be reused independently.

I don't just provide a correction: I explain the reasoning step by step so that you are able to redo the exercises without help.

For students retaking the exam, I also offer more intensive support: level assessment, priority identification, review of fundamentals, and practice with typical exercises and past exams. The goal is to get straight to the point and work efficiently within the time available before the exam.

I have been giving private lessons for over 7 years in mathematics, statistics, economics, and accounting. I have also tutored first and second-year Bachelor's students at Solvay/ULB in mathematics, statistics, and microeconomics as part of a university tutoring program.

My professional experience in finance and business controlling at Deloitte has also allowed me to develop a very structured approach to numbers, analysis and problem-solving.

Courses available in French or English, online or in person in Brussels or the surrounding area.

Hayat

4.81

(27)

Vous voulez analyser vos données avec Excel, sans vous perdre dans les formules ? Ce cours en ligne vous guide pas à pas, avec des exemples concrets et des exercices pratiques.

Vous apprendrez à :

organiser et nettoyer vos données (tri, filtres, suppression des doublons)
utiliser les formules essentielles (SOMME, SI, NB.SI, MOYENNE, RECHERCHEV / RECHERCHEX)
résumer vos données avec les tableaux croisés dynamiques
créer des graphiques clairs et présenter vos résultats

Le cours s’adapte à votre niveau et à vos besoins (études, travail, projet personnel). Je suis data analyst et j’utilise l’analyse de données au quotidien, ce qui me permet de vous montrer des cas pratiques.

Victor

4.81

(27)

I provide bespoke, one-on-one A-level Maths and Further Maths tuition focused on strategic problem-solving and rigorous exam preparation. As a former university lecturer and researcher, I have extensive experience guiding students through complex mathematical concepts and helping them secure top grades.

I adapt my teaching to all major UK exam boards and utilise digital whiteboards for highly interactive, real-time collaboration. Rather than relying solely on generic textbooks, I design custom mock exams and targeted worksheets tailored exactly to your syllabus and areas for improvement.

Whether your primary goal is achieving top A-level results or you require elite preparation for competitive university admissions exams such as the TMUA, MAT, or STEP for institutions like Oxford, Cambridge, and Imperial College, I provide the structured environment you need to succeed.

Abdul

4.81

(27)

Spending hours every month cleaning the same Excel reports? Or preparing for the PL-300 (Microsoft Power BI Data Analyst) exam and not sure where to start? I teach working professionals and career changers how to use Power BI and Excel the way they're used at work, step by step and in plain language.

What you'll learn (tailored to your goal):
• Power Query: clean messy data (extra spaces, wrong data types, duplicates, text numbers) and set it up so next month is just "Refresh"
• Data modelling: star schema, relationships and a proper Date table
• DAX: measures, CALCULATE and time intelligence, explained so you understand why, not just copy formulas
• Dashboards: clear visuals, slicers, drill-down and Actual vs Target reports
• Power BI Service: publishing, refresh and sharing
• PL-300 exam practice: exam-style questions with explanations

How I teach:
I explain each idea before we click, then we build it together on a realistic dataset, and then you try it yourself. You get clear notes after each lesson. If you bring your own work file (with sensitive data removed), we can use it so you solve your real problem.

About me: Data Science Master's student and BI analyst. I built Power BI and Excel reporting for companies, and recently automated a finance team's monthly SAP report with Power Query so it now updates with one click.

Alexandre

4.81

(27)

Whether you're in a preparatory class for engineering schools (scientific track or business school), a bachelor's degree, an engineering school, or a master's program, higher-level mathematics moves quickly, and a poorly understood concept can hold you back from an entire chapter. This course is designed to help you truly understand, and then master, the material.

Graduate engineer from CentraleSupélec, eligible for the agrégation option probability-statistics (2026), I am preparing a doctorate in AI applied to automation and I have taught more than 400 hours at the university.

Each session is tailored to your needs: questions from the week, practice exams or midterms to prepare for, or a particularly challenging exercise. I begin with intuitive approaches (diagrams, concrete examples, sometimes a Python simulation), then we move on to more rigorous methods: definitions, key proofs, and the writing style expected in competitive exams. You then work through progressively challenging exercises and leave with a summary of the methods.

Areas of expertise: analysis, linear algebra, probability, statistics, financial mathematics and mathematical foundations of machine learning.