R & Python for Research & Data Analysis (Beginner to Advanced)

From 26 € /h

Learn how to use R to analyze data, conduct research, and produce professional reports—even if you’re starting from scratch.

This course is designed for students, researchers, and professionals who want to build practical data skills for academic work, career growth, or international opportunities.

In this class, you will learn how to:
- Clean and analyze real-world datasets using R and Python
- Perform statistical analysis for research projects
- Create high-quality visualizations
- Automate reports using tools like Quarto
- Structure research workflows that stand out for scholarships and publications

The teaching approach is hands-on and project-based. You won’t just learn theory—you’ll work on real datasets and build a portfolio you can use immediately.

Whether you're preparing for postgraduate studies, working on a thesis, or transitioning into data science, this class will give you a strong, practical foundation.

Extra information

- No prior programming experience is required (for beginners)
- Intermediate/advanced learners can request customized sessions
- Classes are tailored to your goals (research, career switch, scholarships, etc.)
- You will receive practice datasets and guided exercises
- Option for project supervision (thesis, dissertation, or research papers)

Location

Online from Nigeria

About Me

- I am a data scientist and educator with a strong focus on helping students and professionals use data to unlock academic and career opportunities.
- I specialize in teaching R for research, data analysis, and real-world problem solving. My approach is practical and results-driven—I focus on helping students not just understand concepts, but actually apply them to their projects, theses, and career goals.
- I have worked with students from different backgrounds, including beginners with no programming experience, and guided them to confidently analyze data, build reports, and present their findings professionally.
- Beyond teaching, I am deeply involved in helping students position themselves for international opportunities, including fully funded scholarships. This means I understand what level of analytical and research skills are expected—and I train my students accordingly.
- My classes are interactive, structured, and tailored to each student’s needs. Whether you're preparing for a research project, switching into data science, or strengthening your academic profile, I will guide you step by step.

Education

- Swedish University of Agricultural Sciences, MSc Forest Sciences, First Class Honors, 2023
- University of Copenhagen, MSc Forest Ecosystem Nature and Society, 2022
- The Federal University of Technology, Akure, B. Agric. Tech. First Class Honors, 2019

Experience / Qualifications

- Founder of EU StudyAssist, supporting students with academic and international study opportunities
- Instructor of “R for Research” program, training students in data analysis and research workflows
- Experience teaching beginners, intermediate learners, and advanced research students
- Hands-on experience with:
- Data cleaning and analysis
- Statistical modeling
- Data visualization
- Research report automation (e.g., Quarto)
- Supported students working on:
- Undergraduate and postgraduate research projects
- Theses and dissertations
- Scholarship and academic applications

I focus on delivering skills that are immediately useful—so students can see real progress within a short time.

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

30 minutes

45 minutes

60 minutes

90 minutes

The class is taught in

English

French

Skills

Python

Microsoft office

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

Matías

4.88

(85)

Are you looking for efficiency, creativity and productivity in your daily tasks? Do not look any further. Microsoft Office is there to meet all your expectations.

Why choose Microsoft Office?

Create with Power: Word, Excel, PowerPoint and many other applications give you powerful tools to bring your ideas to life, whether it's for a professional document, a financial dashboard or a stunning presentation.

Collaborate with ease: OneDrive and Teams allow you to collaborate with your colleagues or friends, no matter where you are. Work together in real time, share files and communicate easily.

Save Time with Automation: Excel simplifies complex tasks with smart formulas, while Outlook organizes your emails and calendar so you can focus on what matters.

Advanced Security: Protect your data and privacy with advanced security features, such as two-step verification and access management.

Advanced Programming: As a specialist, I master programming in VBA (Visual Basic for Applications) to automate your tasks and personalize your Office applications. Additionally, in the latest version of Microsoft Office you also have the option to program in Python, a language that I also master.

Available Everywhere: 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 everyday challenges slow you down. Invest in the power of Microsoft Office and unlock your potential.

Transform the way you work, create with ease, and reach new heights with Microsoft Office.

Adam

4.88

(85)

Learn to code with method and logic
Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data.

Subject areas and languages taught:

Algorithms & Logic: Designing data structures and solving problems.

Programming Languages: Python, C/C++, C# and Java.

Data Management: Analysis and SQL queries / databases.

Basic Web Development: HTML & CSS for creating structured pages.

The goal is to take the student from simply writing code to true autonomy in development.

Varvara

4.88

(85)

Improve your French by following our online French courses. I teach courses and help organize foreign companies in matters of organization and fixed obligations such as monthly expenses and scheduling client appointments.

Amin

4.88

(85)

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.

Giuliano

4.88

(85)

Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

Do you want to create your own software?
Work with data or images?
Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!

Salah

4.88

(85)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

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:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Amine

4.88

(85)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Morad

4.88

(85)

You want to boost your Excel skills and unlock the full power of spreadsheets? Our online Excel classes are designed for everyone, from beginners to advanced users. Learn how to organize data, create powerful formulas, generate charts, and streamline your workflow with ease.

Led by expert instructors, our interactive lessons offer hands-on practice, covering everything from basic functions to advanced Excel techniques. Whether you're looking to improve your job performance, manage data more efficiently, or learn new skills, our flexible online classes allow you to learn at your own pace, from anywhere.

Take control of your data—sign up for our online Excel classes today and become an Excel pro!

Baia

4.88

(85)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Brent

4.88

(85)

Stuck in Excel? Want to finally understand how those formulas really work? Do you need to create a pie chart of your expense report for work or school, but feel completely lost? Don’t worry! I’m here to help... at your pace, with no jargon or complicated explanations.

Whether you:
- are starting completely from scratch,
- already have some basic knowledge,
- or want to solve a specific problem,
we’ll tailor the session to your needs. No one-size-fits-all course, just practical help that actually works for you.

👨‍🏫 About me
I’ve been using Excel since I was a teenager — for personal use (like budgeting tools or calorie trackers) and professionally as part of my work and studies in data analysis. Thanks to my experience and structured approach, I explain Excel in a clear and understandable way. I know how frustrating it can be when something technical doesn’t work... and how satisfying it feels when it finally clicks.

🎯 Topics we can cover
- Smart formulas (IF, VLOOKUP, INDEX, MATCH, etc.)
- Creating charts, pivot tables, and dashboards
- Using Excel for budgeting, planning, or managing projects
- Data analysis and basic programming in Excel
- Preparing for Excel tests or improving job-related Excel skills

💻 Practical info
- Having your own laptop/PC is helpful, but not required
- Online or in-person sessions possible
- Have specific questions or files you’d like to work on? Let me know! I also have my own practice materials.

Feel free to send me a message with your question or goal. I’ll gladly look at how I can help you out!

Ali

4.88

(85)

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English.

I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work.

Who this is for

Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos.

I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it.

What we cover

Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.

Pallavi

4.88

(85)

Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

Moetez

4.88

(85)

You know how to write Python scripts, but your code quickly becomes difficult to read and maintain? Object-oriented programming is the most common way to organize a program, and it's essential in business, engineering school, and technical interviews. I'm a software engineer and I use Python in production (FastAPI, data, optimization). I'll teach you OOP in a practical way: using classes when they simplify the code, and knowing when to do without them when they complicate it.

Program (adapted to your level):

Clean code: why programming paradigms exist and how they make code maintainable
Classes and objects: attributes, methods, the `__init__` constructor, `self`. Differences between OOP and the functional approach
Encapsulation: protecting an object's data, private attributes, properties (@property)
Abstraction: hiding complexity and exposing a simple interface. Abstract classes (abc)
Inheritance: reusing and specializing class behavior, super(), when to avoid it
Polymorphism: the same call, different behaviors. Special methods (__str__, __eq__...)
Final project: model a real problem from A to Z (game, library management, reservation system...)
with a code organized into classes

For who ?

Students (BTS, BUT, Bachelor's degree, engineering school, preparatory classes) preparing for an exam or project; High school students

Career changers and junior developers who want to take their skills to the next level

Prerequisite: knowledge of the basics of Python (variables, conditions, loops, functions). Otherwise, a refresher course can be started.

Each session alternates between short explanations and practical exercises. I can also help you directly with your practical work and projects.

Feel free to contact me to discuss it!

Pratiksha

4.88

(85)

Python Level 1Workshop

**Course Description**

Want to learn programming from scratch? This beginner-friendly Python course introduces students to coding through interactive lessons, practical exercises, and fun mini-projects.

Students will learn how to write Python programs, work with different types of data, take user input, make decisions using conditions, and repeat actions using loops. Each concept is explained step by step with real-life examples and hands-on coding activities.

**What You Will Learn**

* **Lesson 1: Your First Python Program** — Learn the `print()` function, display messages, and create simple programs.
* **Lesson 2: Variables and Data Types** — Store and work with text, numbers, and other basic data.
* **Lesson 3: User Input and Calculations** — Build interactive programs that accept user input and perform calculations.
* **Lesson 4: Conditional Statements** — Use `if`, `elif`, and `else` to make programs respond to different situations.
* **Lesson 5: Loops and Mini-Projects** — Use loops to repeat actions and apply your skills in practical coding challenges.

**Hands-On Projects**

Students will apply their learning by building beginner-friendly projects such as a calculator, a number-guessing game, and a Rock-Paper-Scissors game.

**Who Is This Course For?**

* Children and teenagers aged 8–16.
* Complete beginners with no prior programming experience.
* Students who want to develop logical thinking, problem-solving, and computational skills.
* Learners who want to explore programming through practical projects.

**My Teaching Approach**

I explain concepts step by step, use relatable examples, and encourage students to write their own code instead of simply copying solutions. Lessons are adapted to each student's pace, with coding exercises and challenges to strengthen understanding.

**No prior coding experience is required.** Students need a computer and an internet connection to participate.

By the end of Level 1, students will have a solid foundation in Python basics and the confidence to start creating their own simple programs.

Mariam

4.88

(85)

Beginner-Friendly AI & Python Programming Course 🤖🐍

Curious about Artificial Intelligence (AI) and how computers learn, solve problems, and follow instructions? This course is designed for beginners who want to explore the exciting world of AI and programming in a simple, fun, and practical way!

No previous programming experience is required. We’ll start with the basics and gradually build your understanding through clear explanations, relatable examples, hands-on exercises, and small projects.

What you’ll learn:

Introduction to AI: Discover what artificial intelligence is and how we use it in everyday life.

AI in the real world: Explore AI tools, applications, and careers that use AI.

Introduction to Python: Learn one of the most popular programming languages from the ground up and develop a new skill.

Programming fundamentals: Understand variables, data types, conditions, and other essential concepts.

Algorithms and problem-solving: Learn how to break problems into smaller steps and turn ideas into code.

Machine Learning vs. Deep Learning: Get a beginner-friendly introduction to how computers can learn from data.

Practical exercises and mini-projects: Apply what you learn and build confidence through hands-on practice.
and more to come!

Lessons can be adapted to your current level, learning goals, and pace. Individual and group sessions are welcome!