Course of algorithms: basics of algorithmic Declarations of variables Inspection instructions and repetition The functions... Programming course: C, C ++, PHP, JAVA, C # language Database courses: Design methods SQL language and queries Database Management Systems, MySQL, PostgreSQL, SQLServer

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This course provides a comprehensive introduction to the core principles of Computer Science, with a focus on practical applications in Computer Programming and Database Management. Students will explore the fundamentals of programming, learning how to write, analyze, and debug code using modern programming languages. The course also delves into database concepts, covering data storage, retrieval, and management techniques. By the end of the class, students will be equipped with the skills necessary to design efficient programs and manage databases effectively, preparing them for more advanced studies in computer science and related fields.

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.

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.

This class covers statistics and statistical methods for data analysis which cuts across all industry and disciplines. Sample topics, Statistical calculations Statistical methods Statistical analysis Quantitative analysis Quantitative analysis techniques Non Quantitative data analysis Research methods Research methods paper section Mathematical analysis Statistical software and spreadsheets like Rsutdio, Excel, SPSS, and many others. and any statistical topic requests by students

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Je propose des cours complets en Power BI, analyse de données, science des données et algorithmes d'apprentissage profond, adaptés à tous les niveaux d'expérience. Mon approche pédagogique se concentre sur l'acquisition de compétences pratiques, vous permettant d'appliquer directement ce que vous apprenez dans des projets réels. Dans le cadre de mes cours de gestion de données, vous apprendrez à transformer vos données en visualisations interactives et informatives, en maîtrisant les techniques de création de tableaux de bord, de rapports et d'analyses visuelles. Vous découvrirez également comment connecter différentes sources de données et optimiser vos modèles pour des insights pertinents. En ce qui concerne l’analyse de données, vous développerez une compréhension approfondie des méthodes statistiques et analytiques, vous permettant de tirer des conclusions significatives à partir de vos données. Vous serez initié aux outils et aux techniques de manipulation des données, y compris l'utilisation de langages de programmation tels que Python, R, PowerBI ou TABLEAU. Dans le domaine de la science des données, nous explorerons les étapes clés du processus de data science, de la collecte et le nettoyage des données à la modélisation et à la validation des résultats. Vous serez également introduit aux algorithmes d’apprentissage profond, apprenant à construire et à entraîner des modèles neuronaux pour des applications variées, allant de la reconnaissance d'image à la prévision. Chaque cours est structuré autour de projets pratiques et de cas d’étude, afin de vous préparer à relever des défis réels en matière d’analyse et d’interprétation des données. Si vous êtes prêt à développer vos compétences en Power BI, analyse de données, science des données et apprentissage profond.