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Database lessons in Belgium

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20 database teachers in Belgium

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20 database teachers in Belgium

(4 reviews)
Jerome - Paris$157
Statistics · Database · Cognitive psychology
Trusted teacher: I am a freelancer who graduated from the University of Westminster, where I began my journey into programming. During my studies, I started applying programming skills to solve physical and mathematical problems. Since then, I’ve developed a passion for continuous learning and have expanded my expertise in data implementation and software development. For the past 16 years, I have been offering private programming lessons, helping students of all ages and backgrounds, from beginners to advanced learners. Whether you're a student looking to build a project portfolio, prepare for an exam, or a professional aiming to learn Python through practical applications, I can help you reach your goals. What I Offer: Learn Python by building projects: From the basics to more advanced concepts, you will learn programming through hands-on experience, working on real-world projects that solidify your understanding. Customized lessons: I tailor each lesson to your learning style and needs, whether you're just starting out or looking to deepen your skills. Project support: Whether you're working on a portfolio, completing a boot camp project, or preparing for an exam, I offer guidance and assistance to help you succeed. Step-by-step approach: Before each lesson, you'll receive study materials and exercises designed to help you grasp the concepts we’ll cover. Afterward, you'll receive homework to reinforce what you've learned. Flexible online lessons: Learn from the comfort of your home with flexible scheduling. I currently work as a freelancer, collaborating with companies, startups, and schools to deliver online programming classes. If you’re eager to learn Python in a practical, engaging way, or if you have any questions, feel free to send me a message - I will surely reply. Thank you, Alex
Python · Computer programming · Database
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
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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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