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.

The Topics: 1. Winning Proposal Writing 2. Research Projects writing with implementable Deliverable & 3. Practical workshop using SPSS Area to be covered: 1. Concept Paper 2. Topic Development 3. Winning Proposal Development 4. Questionnaires Design 5. Data Collection Method’s & Tools 6. Data Analysis Tools & visualization 7. Project Integration 8. Storytellingand report making 9. Project/ Proposal Presentation Techniques 10. Plagiarism Management 11. Journal publication

Learn how to create impactful marketing campaigns by combining data insights with effective communication strategies. This class will teach you to analyze customer data, identify trends, and design campaigns that resonate with your audience while delivering measurable results. Perfect for anyone looking to elevate their marketing efforts.

Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

Computer engineer, with 2 years of experience in individual teaching, I specialize in programming in Python, C, JAVA, as well as in web development (HTML, CSS, JS, PHP) and object-oriented programming. I offer workshops specially designed for rapid progress. My background also includes 2 years of tutoring with students from JUNIA, EMSI and preparatory classes.

I offer engaging and comprehensive programming lessons in C++ and Python, designed to help you master essential concepts and advanced topics in computer science. From problem-solving techniques, object-oriented programming, and data structures to database management, operating systems, digital logic design, and algorithm analysis, my lessons cover it all. I also introduce exciting areas like parallel and distributed computing and the basics of artificial intelligence. Whether you're preparing for GCSEs, A-levels, or pursuing a BSc in Computer Science, my tailored approach ensures you build a strong foundation and advance to becoming an exceptional programmer. Let’s make programming both accessible and enjoyable as you unlock your full potential in this ever-evolving field!

I offer personalized courses that cover a wide range of topics, from the basics of relational database management to advanced data manipulation using query languages such as SQL and tools such as DBSM, MySQL, and PostgreSQL. My courses are tailored to the needs and learning styles of each student, and I am committed to helping my students achieve their individual learning goals. Whether you are a beginner or looking to improve your skills, I can help you develop your relational database management skills and take your expertise in this field to the next level. I am excited to guide you through the world of relational database management and help you master the skills necessary to succeed in this field. Please do not hesitate to contact me for more information about my services and how I can help you achieve your relational database management goals.

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.

Course Description: This advanced course is designed for engineering professionals who wish to evolve into strategic leadership roles in information security, such as ISO (Information Security Officer), BISO (Business Information Security Officer) or CISO (Chief Information Security Officer). Throughout the program, participants will acquire the technical, strategic and management skills necessary to lead security initiatives, protect critical assets and ensure regulatory compliance in complex corporate environments. Key topics will be explored, such as designing cybersecurity strategies, implementing governance policies, assessing risks and communicating effectively with senior management. Main objectives of the course: Understand the regulatory framework and international standards such as ISO 27001, PCI DSS, and GDPR. Develop skills to manage comprehensive security programs aligned with business objectives. Design incident response, business continuity and disaster recovery strategies. Improve the ability to lead multidisciplinary teams and manage cybersecurity budgets. Strengthen executive communication to report risks and proposals to management and board levels. Addressed to: Engineers with experience in technical areas of computer security, networks, development or auditing, who seek to make the leap to strategic leadership positions in cybersecurity. Methodology: The course combines theoretical sessions, real case studies, practical workshops and simulations of leadership scenarios. In addition, support is offered for the design of professional development plans and relevant certifications such as CISSP, CISM and CRISC. Duration: 10 weeks (includes a final evaluation and an applied strategic project). Modality: In-person, virtual or hybrid. This course is the first step in transforming your technical experience into a career in enterprise-level information security leadership.

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.

Embark on an immersive journey that will help you and clarify the material as we take a deep dive into of Java, Python, Object-Oriented Programming (OOP), Machine Learning, and Deep Learning, focusing on neural networks, Liquid State Machines (LSM), Genetic Algorithms (GA), and more. Special rate applies for purely web/app development as a part-time full-stack developer/engineer.

Dive into the exciting world of bioinformatics, where biology meets data science! This class equips you with essential bioinformatics and data analysis skills to explore and analyze biological data effectively. You will learn how to manage, visualize, and interpret complex datasets using tools like R or Python, understand sequence alignment and annotation techniques, and delve into topics like genomics, transcriptomics, and proteomics. What You'll Learn: Data Handling: Fundamentals of working with large biological datasets, including cleaning, formatting, and preprocessing data. Programming Skills: Basics of R or Python for bioinformatics applications, including scripting and automating analyses. Genomic Analysis: Sequence alignment, gene annotation, and exploring genomic databases. Statistical Analysis: Applying statistical techniques to identify patterns and draw meaningful conclusions. Visualization: Creating clear and informative plots for biological data. Applications: Perform differential gene expression analysis to understand disease mechanisms. Analyze genetic variants to study evolutionary patterns or predict disease risks. Explore protein structures and functions for drug discovery. Use bioinformatics pipelines to support cutting-edge research in academia or industry. Whether you're aspiring to work in biotech, academia, or data science, this class provides the foundation you need to bridge biology and technology, opening doors to a range of exciting opportunities.

You are a highschool student? You have a baccalaureate? You need help with Python (Algorithmic Programming). I am here to teach you ! I am certified from Python Institute (PCAP: Certified Associate in Python Programming) and I work with Python for more than 5 years. I am also a teacher and my students love the way I teach with (simple, clear and always funny)

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

In this class you will learn the basic, intermediate and advance topics of database development. How to analyze the requirements, design the basic structure of database and then implementing and then to retrieve the data. The basic concepts regarding the normalization will also be discussed.