Statistical Analysis for Various Projects (Especially Thesis)

From 31.65 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 -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

Biology classes for high or middle school students

31.65 C$ /h

I believe that the most important skill that a student has to develop prior university is self-learning and the ability to cope with mistakes.

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Once the student can make connections, one can spark interest. Using real-world examples I try to show the student how their knowledge can be applied. How logic connections they make can answer hot topics in science!

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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Frontend: React, Next.js, TypeScript, Vue, Angular
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Databases: PostgreSQL, MySQL, MongoDB, Redis
Cloud: AWS (EC2, RDS, S3), Vercel, Netlify, Render
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Perfect For:

Students: Fix your project before the deadline
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Live Debugging Session: We fix it together via screen share
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Average Resolution Time:

Simple bugs: 1-2 hours
Deployment issues: 2-3 hours
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Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

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The basics of programming: variables, loops, conditions, and procedures.

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Functions and scope
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Mini projects and problem-solving exercises

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Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
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File handling and exception handling
Mini projects integrating multiple concepts

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Working with NumPy arrays
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clear structure and logical progression

practical communication from the very first lessons

cultural context and real-life language

a supportive and motivating learning atmosphere

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