1e les gratis
Ouassima
- Tarief €50
- Reactie 1u
€50/u
Boek een les
1e les gratis
- Database
- Data-analyse
- MySQL
- Oracle
- Microsoft Access
Learn Data Science & Data Analysis with an Experienced Computer Science Tutor – Python, Pandas, Statistics, Data Visualization & Machine Learning
- Database
- Data-analyse
- MySQL
- Oracle
- Microsoft Access
Leslocatie
Over Ouassima
Hello! I'm a Mathematics and Computer Science tutor with a strong academic background and a particular interest in Data Science, Statistics and Machine Learning.
I hold a Bachelor's degree in Mathematics and Computer Science and a Master's degree in Information Systems, and I am currently pursuing doctoral studies in the field of Artificial Intelligence and Data Science.
Since 2019, I have been tutoring computer science students internationally, helping them strengthen their programming skills, understand technical concepts and develop effective problem-solving strategies.
My background combines mathematics, programming, statistics and data analysis, allowing me to explain Data Science concepts from both theoretical and practical perspectives.
I also have experience working with data analysis and machine learning projects involving statistical methods, predictive modelling, clustering and data visualisation.
I understand that learning Data Science can feel challenging, especially when you're trying to connect programming, mathematics and statistical concepts at the same time.
That's why my teaching style is patient, structured and highly personalised.
I enjoy breaking down complex ideas into simple, understandable steps and helping students discover the reasoning behind analytical methods.
Whether you're learning Data Science from scratch, preparing for university exams, working on a research project or developing professional analytical skills, I'll adapt our lessons to your background and goals.
I look forward to helping you become a confident and independent data analyst!
Lees verder
Over deze les
- Basisschool
- Secundair onderwijs
- Volwassenenonderwijs
- +8
niveaus :
Basisschool
Secundair onderwijs
Volwassenenonderwijs
Bachelor
Anders
Beginner
Intermediair
Gevorderd
Professioneel
Ander niveau
Kind
- Frans
- Engels
- Nederlands
- +1
Alle talen die tijdens de les gesproken worden :
Frans
Engels
Nederlands
Arabisch
Want to learn Data Science, understand how to analyse datasets or improve your skills in Python and statistical analysis?
Whether you're a complete beginner, a university student struggling with a data-related course, or a professional looking to develop valuable analytical skills, I'm here to guide you step by step.
I offer personalised online Data Science and Data Analysis lessons that combine clear explanations, practical exercises and real-world datasets.
What can we work on together?
1. Data Science Fundamentals
- Understanding the Data Science workflow
- Types of data and data structures
- Data collection, cleaning and preprocessing
- Exploratory Data Analysis (EDA)
- Identifying patterns, trends and relationships
- Working with real-world datasets
2. Python for Data Analysis
- Python fundamentals for working with data
- NumPy and Pandas
- Importing, cleaning and transforming datasets
- Filtering, grouping, merging and aggregating data
- Data manipulation and exploratory analysis
- Using Jupyter Notebook for data science projects
3. Statistics & Data Interpretation
- Descriptive statistics and probability
- Statistical distributions
- Hypothesis testing and confidence intervals
- Correlation and regression analysis
- Understanding p-values and statistical significance
- Interpreting statistical results correctly
4. Data Visualisation
- Creating clear and informative charts
- Matplotlib and Seaborn
- Histograms, scatter plots, box plots and heatmaps
- Choosing the right visualisation for your data
- Communicating findings through visual storytelling
- Creating professional analytical reports
5. Machine Learning for Data Science
- Introduction to predictive modelling
- Supervised and unsupervised learning
- Linear and logistic regression
- Decision Trees and Random Forest
- Classification and clustering
- K-Means clustering and Principal Component Analysis (PCA)
- Training and testing machine learning models
- Evaluating model performance and understanding overfitting
6. University Courses, Research & Projects
- Understanding Data Science and Statistics coursework
- Working through data analysis exercises
- Understanding research methodologies
- Choosing appropriate statistical techniques
- Interpreting results and analytical outputs
- Guidance on academic data science projects
- Preparing for exams and technical assessments
- Developing independent analytical and problem-solving skills
I believe that Data Science is best learned through a combination of conceptual understanding and practical application.
My lessons are interactive, structured and adapted to your current level.
If you're a beginner, we'll start with the fundamentals of Python, statistics and data handling before gradually progressing to more advanced topics.
If you're a university student, we'll focus on your course material, clarify difficult concepts and work through practical examples to strengthen your understanding.
If you're a professional, we can concentrate on practical data analysis skills that you can apply in your workplace.
Throughout our lessons, you'll learn how to approach a dataset, ask meaningful questions, choose appropriate methods, interpret your findings and communicate your results clearly.
My goal isn't simply to help you complete an exercise. It's to develop your ability to analyse data confidently and independently.
All lessons are delivered online in English, with practical demonstrations, interactive explanations and hands-on exercises.
Lees verder
Tarieven
Tarief
- €50
Pakkettarieven
- 5u: €250
- 10u: €500
gratis les
Ouassima biedt zijn eerste les aan. Dit stelt je in staat om je eerste les te volgen en je behoeften af te stemmen op je volgende lessen.
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