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Discover the Best Private Database Classes in Belgien

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24 database teachers in Belgien

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24 database teachers in Belgien

Bert - Thailand17€
17€Programming Teacher ( Java, PHP, Javascript, Python, SQL)
English: Do you want to learn programming or take your skills to the next level? I am an experienced software developer and tutor with in-depth knowledge of languages such as Java, JavaScript, Python, HTML, SQL, and more. Whether you are an absolute beginner, a child just starting out, or already have experience, I’m here to assist you with clear explanations, hands-on exercises, and personalized guidance. My approach is flexible and tailored to your learning style. Whether you want to build a solid foundation, need help with a specific project, or want to better understand complex concepts – together, we’ll make programming fun and accessible! Contact me, and let’s get started. 🚀 Thai: คุณต้องการเรียนรู้การเขียนโปรแกรมหรือยกระดับทักษะของคุณไปอีกขั้นไหม? ฉันเป็นนักพัฒนาซอฟต์แวร์และครูผู้สอนที่มีประสบการณ์และความรู้ลึกซึ้งในภาษาเช่น Java, JavaScript, Python, HTML, SQL และอื่นๆ ไม่ว่าคุณจะเป็นมือใหม่ที่เริ่มต้นเลย หรือเด็กที่เพิ่งเริ่มเรียน หรือมีประสบการณ์แล้ว ฉันยินดีช่วยเหลือคุณด้วยคําอธิบายที่ชัดเจน การฝึกฝนเชิงปฏิบัติ และคําแนะนําที่ปรับให้เหมาะสมกับคุณ แนวทางของฉันมีความยืดหยุ่นและปรับให้เหมาะกับสไตล์การเรียนรู้ของคุณ ไม่ว่าคุณต้องการสร้างพื้นฐานที่มั่นคง ต้องการความช่วยเหลือในโครงการเฉพาะ หรืออยากเข้าใจแนวคิดที่ซับซ้อนมากขึ้น – เราจะทําให้การเขียนโปรแกรมเป็นเรื่องสนุกและเข้าถึงได้! ติดต่อฉันและเริ่มต้นกันเถอะ 🚀
Computer programming · Database · Internet
Shishir Shreyas - United Kingdom18€
18€Bioinformatics and Data Skills using R, Python, Mega and Galaxy
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.
Biology · Computer programming · Database
Yedija Messa Sirao - Manchester, United Kingdom25€
25€Learning 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
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