Statistical Analysis for Various Projects (Especially Thesis)

From 31.64 C$ /h

Like most students, you probably received little to no education in statistics and now your future hangs on the quality of your statistical analyses...

Fret not! Together we can find the significance and leave a lasting impression on your supervisors! Furthermore, the obtained knowledge will without a doubt help you in future.

This class focuses on boosting your projects through practical data analysis in R software.

Extra information

Bring your own laptop.

Location

Online from Belgium

About Me

I obtained a First-class Genetics BSc from the University of Glasgow and magna cum laude Bioinformatics MSc from KU Leuven. So far I have worked on leukaemia, vaccines, male infertility, cutting-edge cancer drugs, AI in Alzheimer's, and meta-analyses of sequencing data.

Sounds cool and unrealistic? Well, I was in your shoes not so long ago! In my teenage years, I was very lost and confused. I was overwhelmed with the number of possibilities and the number of topics we had to learn. Even my choice to study Genetics and Bioinformatics was somehow random. But I went through it and so can you!

Let me help you go through this confusing period. Whether you are interested in science or just want to pass your exams, I will do my best to help you. And maybe together we will discover that science is not that scary but a rather cute beast.

Education

BSc in Genetics at the University of Glasgow and MSc in Bioinformatics at KU Leuven. The academic environment there is incredible and it made me fall in love with science! I wish all students could experience something like that hence I am here trying to extend a little bit of that magic to you.

Experience / Qualifications

Internship on Chronic Myeloid Leukemia Stem Cells,
Project on Male Infertility due to Mitochondrial Dysfunction,
Industry experience working on Chromatography and creating Quality Test for Novel Cancer Drugs.
Software Engineer / Data Analyst at Unicle
Intern at VIB working on the implementation of AI in Alzheimer's research.

Age

Adults (18-64 years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Lithuanian

Skills

Statistics

Biology

Computer programming

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Biology classes for high or middle school students

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Once fundamentals are crystal, I try to teach a student how to connect bits of knowledge to answer a question. A narrative is always easier to work with than random memorised sentences.

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Finally, I put a lot of attention on dealing with mistakes. It is easy to be top of the class in a school. However, once students go to university, the level of studies sky-rockets. Mistakes are unavoidable and for some that can be devastating. I do my best to show the student that mistakes are really opportunities to improve. Everyone makes them and they should not discourage them.

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Ongoing Support: Get unlimited email support for any questions you have between sessions.

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Book Your First Lesson:

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Practical:
- 1-on-1 lessons, online, at my place or at yours (if you don't live too far away)
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🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

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Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
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🚀 Learner's result

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1- Why does it exist?
2- When to use it
3- and when not to use it

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a cleaner and more professional code
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