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Database lessons in Belgien

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21 database teachers in Belgien

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21 database teachers in Belgien

(4 reviews)
Jerome - Paris$155
$155PhD in cognitive psychology and statistician teaches psychology, neurosciences and statistics
Trusted teacher: 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.
Statistics · Database · Cognitive psychology
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Yedija Messa Sirao - Manchester$27
$27Learning and Mastering Artificial Intelligence and Data Science: From Fundamentals to Advanced Applications for Real-World Success
Welcome to "AI and Data Science" – a comprehensive, customizable course designed for learners at any level, from beginners to advanced professionals. Whether you're just starting your journey into the world of artificial intelligence and data science or looking to enhance your existing skills, this course will provide you with the knowledge and practical tools you need to excel. What You'll Learn: Fundamentals of Data Science: Understanding data collection, cleaning, and preprocessing; learning to analyze and visualize data using tools like Python, Pandas, and Matplotlib. Introduction to AI and Machine Learning: Explore basic concepts of AI, supervised and unsupervised learning, and popular algorithms (e.g., regression, classification, clustering) with hands-on coding exercises. Advanced AI Techniques: Delve into deep learning, neural networks, and advanced algorithms like decision trees, SVMs, and reinforcement learning. Practical Projects: Work on real-world projects such as predictive modeling, sentiment analysis, and building AI applications using Python libraries like TensorFlow and PyTorch. Storytelling with Data: Develop skills to communicate insights effectively, using data visualization tools and storytelling techniques to create compelling narratives from data. Database Management: Learn how to work with databases (SQL and NoSQL) and manage data efficiently for large-scale applications. What to Prepare: Basic Computer Skills: No prior programming experience is required for beginners, but familiarity with basic computer operations is recommended. Software Setup: Students will need to install software like Python, Jupyter Notebooks, and data science libraries (instructions will be provided during the course). Curiosity and Dedication: This course encourages a hands-on approach, so students should come ready to code, experiment, and learn through practical examples. What to Expect: Customized Learning Experience: Lessons are tailored based on the student’s level and goals, ensuring a personalized approach that aligns with your learning pace and interests. Supportive Environment: Receive one-on-one mentoring and support to help you overcome challenges and master complex topics. Skills You Can Apply Immediately: Gain practical, job-ready skills that are in high demand across industries, including AI, finance, marketing, and tech.
Numerical analysis · Database · Computer science
Olesia - Paris$28
$28Computer training, Database, Data science, Data Analytics, BI, Big Data
Trusted teacher: I offer courses in data development / database / machine learning / data science (python): I also offer the possibility of helping you with the realization of your academic projects. We support you in the Data development of your business. -1- Databases & Data warehouses (AWS / Google Cloud / Azure Cloud) -2- Machine Learning -3- Deep Learning (tensorflow, pytorch, RNN, CNN, LSTM) -4- Data Processing -5- Machine Learning design and deployment (docker, ...) -6- Data Pipelines -7- Google Sheets with Realtime Pipelines, Macro (VBA) & Database Connection -8- Online dashboards on browsers or on your Excel, Google Sheets (Python, R, Power BI, Tableau, Kibana, etc.) - Our Tech Stack - - Databases: AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cube DBs (EPM / BI platform) - Languages: Python, Spark (Scala, Python, Java), JavaScript, CSS, HTML - Development environment: JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText - Clouds: Amazon Web Services, Azure Databricks, Google GCP (Google Firebase) - Data Lake AWS / Databricks: EC2 (Linux), IAM, Amazon MWAA (Managed Workflows for Apache Airflow), Lambda, S3, DynamoDB, RedShift; Kibana, Azure Databricks, CloudFormation - Web crawling / Scraping: Python Scrapy - Data streaming: Airflow, Kafka - Data visualization / ETL: Python, Kibana, Tableau, Power BI & DAX, Excel Power Query (and lang.M) - Continuous integration workflows (CI / CD): Docker / Google cloud / Kubernetes; Amazon ECS) - Containerized applications: Docker (Docker container, Docker-compose) - Virtualization technologies: VirtualBox, Vmware - Agile tools: Version control (Git / GitLab), tickets (JIRA), Bitbukets, Trello, Wiki (Confluence), Jetbrains - OS: Linux, Windows
Numerical analysis · Information technology · Database
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Mazuba - London, United KingdomRecently active$20
$20Complete IGCSE Computer Science & ICT: From Basics to Advanced Programming
This course is tailored for IGCSE Computer Science and ICT students who want to master all the key topics in their curriculum. With a focus on practical programming skills, theoretical computer science concepts, and hands-on problem-solving, this class will guide you through the essential topics covered in the IGCSE syllabus. Learn the fundamentals of data representation, hardware and software, databases, and Boolean logic, and then build on those concepts with programming and algorithm design. Gain a deep understanding of the inner workings of computers and their applications in real-world scenarios. By the end of this course, you will have a solid understanding of key computer science concepts and the practical skills to succeed in your IGCSE exams and beyond. What You’ll Learn: Data Representation: Learn how computers represent and process data, including binary, hexadecimal, and conversions between number systems. Data Transmission: Understand how data is transmitted over networks, focusing on packet switching, USB, and data packets. Hardware & Software: Gain a foundational understanding of computer hardware components and the role of software in running programs. Boolean Logic: Explore logic gates, truth tables, and Boolean expressions, and apply them to solve complex problems. Algorithm Design: Learn to design algorithms and solve problems using effective computational methods. Programming: Master the basics of programming with hands-on coding in Python, C++, and C#. Databases: Understand database structures, SQL queries, and primary keys. Build single-table databases and learn data management techniques.
Computer programming · Computer science · Database
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Our students from Belgien evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from Belgien to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 36 reviews.

Mastering Web Development: From Fundamentals to Advanced Techniques (Tunis)
Oussama
I have no prior experience in this area and I took lessons with Ousamma. He has enough patience and a knack in guiding you step by step through the lessons and exercises in a very simple way to understand them well. He is an invested teacher that is kind and polite. He will help you to develop your abilities and to feel confident in order to achieve your goals. I warmly recommend him and extend my gratitude his great support throughout my learning journey.
Review by BEN
Math tutoring for high school students (Dubai)
Salah Eddine
Salah is an exceptional Math teacher! Although it was a short notice, yet he was very much considerate of our tight schedule and made time to prepare me for the assessment! Thanks, Salah for your outstanding teaching approach. I very much recommend Salah as your Math Teacher!
Review by NADIN
Private lessons in math - statistics and data science. (Brussels)
Mateusz
I had two math lessons with him, and they were incredibly helpful in preparing me for the EPSO CAST exam for the European Commission, which I passed. He is patient and methodical, making it easier to understand and retain complex concepts!
Review by CAMILA

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