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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.

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I offer professional support in sampling, surveying, data collection, and quantitative data management. This service is designed for organizations, researchers, students, NGOs, and businesses seeking to design reliable surveys and effectively utilize their data. My services include defining appropriate methodologies, designing data collection tools, fieldwork supervision, quality control, and database organization and structuring. Support is also available for analyzing and interpreting results. My services are flexible and tailored to specific needs.

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Modern biological research relies heavily on computational tools to analyze complex genomic, transcriptomic, and proteomic data. This course offers practical, hands-on tutoring in bioinformatics for university students, researchers, and biological science professionals looking to gain strong computational and analytical skills. Drawing on an extensive academic background in biological sciences and computational methodologies, I guide students through core computational workflows: Sequence Alignment & Search: BLAST algorithms, multiple sequence alignment (Clustal Omega, MUSCLE), and pairwise alignment techniques. Genomics & Transcriptomics: Next-Generation Sequencing (NGS) data processing, variant calling, and differential gene expression analysis. Structural Bioinformatics: Protein structure prediction, molecular visualization (PyMOL, Chimera), and macromolecular interaction analysis. Biological Databases & Programmatic Access: Extracting and parsing data from NCBI, UniProt, Ensembl, and PDB using Python/R scripting. Phylogenetics & Systems Biology: Building phylogenetic trees, evolutionary distance calculations, and metabolic network modeling. Sessions are tailored to your specific coursework, thesis project, or research needs, helping you transition seamlessly from raw biological data to meaningful biological insight. Feel free to reach out with your project details or course outline to discuss how we can structure your lessons!

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Introduction to Databases Learn about the importance of databases in the digital world, their role in managing and exploiting data, and the fundamental concepts of structured storage. SQL for Beginners Learn the basics of SQL: SELECT, INSERT, UPDATE, DELETE queries, joins, aggregate functions and more to effectively interact with a database. MySQL and WAMP Server Install and configure WAMP Server to create and manage MySQL databases locally. Learn how to use phpMyAdmin for easy management. DBever and SQL Server Introduction to professional database management tools: Get started with DBever and SQL Server to administer, analyze and optimize your databases. Database Management and Operation Learn best practices for database management: indexing, query optimization, data security and backup. Database Administration Understand the roles of a database administrator (DBA): user management, access rights, maintenance and performance monitoring. Practical DBMS Project Apply your knowledge to a real-world database management project, from design to deployment, optimization and administration.

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I am a Ph.D. student at the University of Luxembourg. For the past 4 years, I taught the University: statistics and probability theory to first-year students, and economics to 3th-year students. I really enjoy teaching. I am looking forward to helping students when they need reinforcement on different subjects, or anyone interested in learning the following topics: For maths: System of equations, derivatives, integrals, type of equations, etc. For statistics: Probability theory, descriptive statistics, regression analysis, multivariate analysis, hypothesis testing, and methods for causal inference. For young professionals: I have extensive experience in data analysis, data management, and statistical modeling. My class mixes both theoretical and practical parts using financial data as examples. If you are interested, just write me a message telling me what topics are you interested in learning.

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Experienced teacher in science and doctor in psychology and cognitive neurosciences graduated from the University of Strasbourg (holder of a master 2 in research in Biology and a professional master 2 in scientific communication), I offer private lessons in psychology (cognitive , social, developmental psychology, neuropsychology etc.), neurosciences as well as in statistics (theoretical and applied to experimental protocols) with a personalized methodology according to the needs and potentialities of each student. Thanks to a rigorous pedagogical approach, specific and adapted to each request, I offer effective methodological assistance (references available) to meet the expectations of the students and to achieve or even exceed the objectives set. My courses also include a coaching method to optimize the learning and training necessary to pass university exams in psychology, neuroscience and statistics (as well as your research dissertations and oral defenses with or without PowerPoint support). My courses are aimed at students (in psychology, neurosciences, medicine, etc.) wishing to optimize their performance and marks in exams and competitions. Schools, Universities and teaching institutes: Universities of Strasbourg and Paris 8, CNRS, Ecole Polytechnique, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.

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Specialized in using Power BI and able to configure you on demand, whether you are a beginner who wants to understand the basics of data analysis or a professional seeking to master building advanced reports and dashboards. Microsoft Power BI is considered one of Microsoft's most powerful business intelligence tools, and is widely used in the fields of industry 🏭, finance 💰, commerce 📊, project management 📈, human resources 👥, supply chains 🚚 and more. With Power BI you can: Linking multiple data sources (Excel, ERP, SQL, SharePoint...). Cleaning and transforming data professionally using Power Query. Creating powerful data models using DAX. Interactive and easy-to-read dashboard design. Track Key Performance Indicators (KPIs) in real time. Supporting decision-making through in-depth and accurate data analysis. I offer practical training based on real-world scenarios from your work environment, simplifying technical concepts like Data Modeling and DAX in a systematic and accessible way. The goal is to empower you to transform raw data into strategic insights that help you make smart, fast decisions. Mastering Power BI gives you a strong added value in the job market, and enables you to lead the digital transformation within your organization 🚀 A customized training program can be set up according to your level and professional needs.

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◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making

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A database makes it possible to store and retrieve structured, semi-structured or raw data or information, often related to a theme or an activity; these can be of different natures and more or less related to each other, A database makes it possible to store and find structured, semi-structured data or raw data or information, often related to a theme or an activity ; these can be of different natures and more or less interconnected.

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In this course you will learn how to transform your data into useful information for decision making through visualizations. You will also create your data model. Cake Graphics. Bar Charts. Dispersion. Measurements. DAX expressions. At the end of the course you will have created your first report in Power BI Desktop.

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Hello and Welcome! I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders. Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings. Courses Offered 1. Basic Python Programming This course is designed for beginners who want to build a solid foundation in Python. Topics include: Introduction to Python and environment setup Variables and data types Operators and expressions Conditional statements Types of loops and loop control Functions and scope Data structures: lists, tuples, sets, and dictionaries Mini projects and problem-solving exercises 2. Advanced Python Programming This course is designed for learners who already know the basics of Python and want to explore its advanced features. Topics include: Lambda functions and list comprehensions Generators, yield, and closures Decorators Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation) File handling and exception handling Mini projects integrating multiple concepts 3. Data Analysis Using Python (NumPy and Pandas) This course introduces essential tools for data manipulation and analysis using Python libraries. Topics include: Working with NumPy arrays Using Pandas DataFrames and Series Data cleaning, filtering, and transformation Handling missing values and duplicates Grouping, aggregation, and pivot tables Exporting data to CSV and Excel Real-world exercises with sample datasets

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Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered. What You can Learn: - Fundamentals of relational databases and SQL syntax. - Designing robust databases using normalization and entity relationships. - Writing complex queries, joins, and subqueries. - Database optimization techniques for performance tuning. - Implementing stored procedures, triggers, and views. - Managing transactions and ensuring data integrity. - Understanding and working with distributed database systems like Distributed PostgreSQL

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Learn Java and Kotlin from a practical, real-world perspective. This class focuses not only on programming languages, but also on essential software engineering skills such as clean code, testing, and working with databases. Ideal for students and professionals who want to improve their coding abilities, build projects, and gain confidence in solving real problems.

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The Power BI course begins with a study of data modeling, using Access as a basic reference. Once this is understood, we'll work in Excel to import data sources, generate tables, and develop properties using essential Power Query. We'll also cover the use of Power Pivot. This will help you migrate to Power BI and explain the importance of data modeling to achieve professional-level results. Once the migration is complete, it is easier to create reports using visualizations (Dash Board) and fundamentally the use of DAX and the R language.