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Discover the Best Private Numerical Analysis Classes in مانشستر، Manchester

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

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2 numerical analysis teachers in مانشستر، Manchester

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2 numerical analysis teachers in مانشستر، Manchester

Yedija Messa Sirao - Manchester25€
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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Amine - Paris, FranceRecently active42€
42€PhD Candidate & Experienced Professor - Data Analysis & Advanced Statistics | 300+ people coached | SPSS, R-Studio, Jamovi, JASP
Trusted teacher: ◾ 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 · Computer programming
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Soufiane - Cergy-Pontoise, FranceRecently active23€
23€Post-Baccalaureate Mathematics Courses – Algebra, Analysis, Probability, Statistics, Optimization, Modeling...
Trusted teacher: Hello to post-baccalaureate students (L1/L2/L3 maths/computer science, BUT, preparatory classes, engineering schools, career change)! My name is Soufiane, I have a master's degree in Data Science & AI. I offer 100% practical courses in university mathematics: - Linear algebra (vectors, matrices, eigenvalues, diagonalization) - Analysis (sequences, continuity, differentiation, integrals, series) - Probability (random variables, distributions, expected value, limit theorems) - Statistics (hypothesis testing, regressions, ANOVA, confidence intervals) - Differential and integral calculus (differential equations, functions of several variables) - Optimization (linear, convex, Lagrange, gradient) - Discrete mathematics (graphs, combinatorics, logic) - Mathematical modeling (dynamic systems, simulations) - Applied projects (Python/Matlab/R to validate concepts) Levels: L1/L2/L3 maths, computer science, economics and management BUT, MP/PC/PSI preparatory classes, ATS, Engineering schools (INSA, Centrale, ENSIIE, etc.), Career change / continuing education Why me ? Diagnostic to target gaps & objectives. 100% interactive courses: demonstrations, solved exercises, multiple-choice questions, digital practicals. Professional resources: theorem sheets, summaries, exam-style exercises, PDF answer keys. Flexible hours: evenings, weekends, holidays. At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + virtual whiteboard Invoices issued. Limited places available (max 8 students). Respond quickly! See you soon to master math and ace your exams!
Math · Statistics · Numerical analysis
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Numerical Analysis
Numerical Analysis in مانشستر، Manchester
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