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Discover the Best Private Database Classes in Manchester

For over a decade, our private Database tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in Manchester, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 database teacher in Manchester

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1 database teacher in Manchester

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
Meet even more great teachers. Try online lessons with the following real-time online teachers:
◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making
Statistics · Numerical analysis · Database
Trusted teacher: Your project is broken? Deadline approaching? Can't deploy? I help developers and students fix bugs, optimize code, and deploy applications to production. I Specialize In: Emergency Debugging: Find and fix errors fast (frontend crashes, backend timeouts, database issues) Deployment Rescue: Get your app live when nothing works (AWS, Vercel, Netlify) Performance Optimization: Speed up slow applications (database queries, API responses, bundle size) CI/CD Setup: Automate your deployment pipeline (GitHub Actions, testing, monitoring) Common Problems I Solve: ❌ "My app works locally but crashes in production" ❌ "Database queries are too slow" ❌ "Authentication isn't working" ❌ "Can't deploy to AWS / Vercel" ❌ "Getting weird errors I don't understand" ❌ "Payment integration (Stripe) not working" Technologies I Work With: Frontend: React, Next.js, TypeScript, Vue, Angular Backend: Node.js, NestJS, Express, Python (Django, Flask) Databases: PostgreSQL, MySQL, MongoDB, Redis Cloud: AWS (EC2, RDS, S3), Vercel, Netlify, Render DevOps: Docker, CI/CD, GitHub Actions, Nginx Perfect For: Students: Fix your project before the deadline Junior Developers: Debug production issues you can't solve alone Freelancers: Get unstuck on client projects fast Startups: Fix and deploy your MVP without hiring a full-time engineer How It Works: Live Debugging Session: We fix it together via screen share Code Review: I show you how to prevent the issue in the future Documentation: You get a summary of what was fixed and why Average Resolution Time: Simple bugs: 1-2 hours Deployment issues: 2-3 hours Complex debugging: 3-5 hours Urgent projects accepted (same-day availability for emergencies).
Database · Web development · Computer programming
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Our students from Manchester evaluate their Database teacher.

To ensure the quality of our Database teachers, we ask our students from Manchester to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 35 reviews.

Professional Full-Stack Web Development: React, Node.js, AWS & Production Deployment (Les Bons Villers)
Oussama
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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
Master Microsoft Excel, Word and PowerPoint from zero to expert! (Paris)
Salah Eddine
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I was able to get 20 out of 20 from my Excel exam in university, thanks to our classes with Mr Salah. I had 0 knowledge on excel before but after learning and exercising with Mr Salah, I got the maximum grade on my exam. Finally now, I really feel confident about my Excel knowledge, all thanks to Mr Salah. I would really recommend it to anyone who has problems with Excel.
Review by SELEN
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