Introduction to statistical analysis with R software.

*ENGLISH BELOW* Hello! My name is Sanne (23) and as a master student in Molecular Life Sciences I have a great passion for biochemistry. I have several years of experience and have helped more than 20 students with various science subjects. I offer tutoring for the subject mathematics (mathematics A, B and C). Whether you need help with a specific chapter, or want to follow a broader exam training. During the tutoring we will mainly work together on assignments and I will support you in the thinking process. In addition to the lessons, it is of course also the intention that you work independently. You need a calculator yourself. Tutoring in pairs or small groups (for example with classmates) is possible at a lower rate per person – please contact us for more information! *ENGLISH* My name is Sanne (23), and I'm a Master's student in Molecular Life Sciences with a strong passion for biochemistry. I have several years of tutoring experience and have helped over 20 students with various science subjects. I currently offer tutoring sessions in mathematics (A, B, and C) – whether you need help with a specific chapter or are looking for broader exam preparation. During our sessions, we'll work through exercises together, and I'll guide you through the thought process step by step. Between sessions, it's important for you to work independently on homework assignments too. You'll need your own calculator. Tutoring in pairs or small groups (eg with a classmate) is possible at a reduced rate per person – feel free to get in touch for more details!

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My classes cover all levels from primary to upper secondary. It's important to ensure continuity with your child's teacher's course. Therefore, I will only use my course if necessary. It's important not to duplicate the documents in order to simplify things. 1 + 1 will always equal 2. Theory is the foundation, but practice is essential. Examples are very important for understanding mathematical, physics, and computer science concepts. That's why each theorem will be followed by an example and several exercises. The number of steps will depend on the student's level. Their intelligence has nothing to do with it; it's their motivation and self-confidence that drive their success. I'll give them what they need to assimilate at their own pace all the concepts that school requires them to master. It's also important to have a methodology. By breaking down difficult concepts into simpler ones, we obtain building blocks that simply need to be assembled to understand the entire problem. Teachers neglect this aspect and don't revisit concepts they think they've learned, which is why many students drop out of school. Mathematics is also used in other subjects. It is perfectly possible to cover concepts used in physics, chemistry, or economics if necessary. I also teach courses in these disciplines. I prefer distance learning to avoid travel. However, sometimes students or parents may want me to travel to the area. This is possible after the first class, in the Brussels area.

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Microsoft Excel is very powerful data analysis software. It is a practical solution in the short to medium and long term to automate your calculations, to have a global and detailed overview on your activities, and to analyze your data. As an accountant, marketer, commercial agent, secretary, merchant, salesperson or company manager, a good mastery of this software will improve your efficiency, your competitiveness, and will save you a lot of time and money. Whatever your field of activity, this software is designed to help you. During this training you will learn: - best practices, functionalities and tools; - functions and their use; - handling of Dynamic Cross Tables, dynamic graphics, - the design of dashboards, - and you will acquire reflexes that will be useful for your entire career. Duration of training: 1 month Number of hours: 24 hours I am expecting many of you because we have a lot to share.

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This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning. The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

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