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Numerical analysis lessons in Nagoya

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Private lessonsNumerical AnalysisNumerical Analysis in Nagoya

1 numerical analysis teacher in Nagoya

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1 numerical analysis teacher in Nagoya

Olga - London, United Kingdom£17
£17Master Databases through Practical Projects – Experienced Tutor with 16 Years of Teaching Experience
Trusted teacher: As a graduate of the University of Westminster, I began my programming journey by applying my skills to data management and analysis in various projects. Over the past 16 years, I have been providing private lessons in computer science, with a strong focus on teaching databases to students and professionals alike. Whether you're a beginner learning about SQL or a more advanced learner seeking to optimize database performance, I offer tailored lessons designed to help you understand and apply database concepts in real-world scenarios. What I Offer: Learn databases through hands-on projects: You'll develop a deep understanding of relational databases (SQL), non-relational databases (NoSQL), and data modeling by working on real-world projects. Customized lessons: Each lesson is adapted to your learning style and current level, whether you’re just starting or need to refine your skills. Portfolio and project support: Need help building a database project for your portfolio or finalizing a boot camp assignment? I provide guidance to ensure your project is both functional and impressive. Database optimization: Learn how to optimize queries, structure your data efficiently, and improve database performance. Study materials and exercises: Before each session, you'll receive all necessary materials to prepare for the next lesson, followed by homework assignments to reinforce the concepts covered. Flexible online lessons: Access lessons from anywhere, on a schedule that suits you. I currently work as a freelancer with companies, start-ups, and schools, offering online lessons and project support in database management. Ready to Dive into Databases? If you're interested in mastering databases through practical, real-world projects, or if you have any questions, don't hesitate to reach out. Let's build your database skills together! This ad emphasizes practical learning in databases, tailored for students and professionals looking to enhance their skills through real-world projects. Let me know if you'd like any further refinements!
Database · Numerical analysis · Networking
(1 review)
Amine - Paris, France£36
£36Experienced professional: SPSS, JASP, Jamovi, R studio, statistical hypothesis testing, ANOVA, multivariate analysis, regression
Trusted teacher: During this course you will learn: ✓ SPSS, jamovi, jasp ✓ R Studio ✓Stata and xlstat ✓ Analyze data for univariate, bivariate and multivariate statistics with SPSS ✓ Simple and multiple linear regression and Logistic regression ✓ Analyze exploratory data, basic statistics and visual displays (Frequencies, exploration function, outliers) ✓ Inferential tests on correlations, counts and means (Calculation of z-Scores in SPSS, Correlation coefficients, A measure of reliability: Cohen's Kappa, Binomial tests, Goodness of fit test, Chi-square , One-sample t-test for a mean, Two-sample t-test for means) ✓ Analysis of variance (fixed and random effects, Running ANOVA in SPSS, The F-test for ANOVA, Effect size, Contrasts and post-hoc tests, Alternative post-hoc tests and comparisons, ANOVA with random effects , factorial ANOVA with fixed effects and interactions, Simple main effects, Analysis of covariance (ANCOVA), Power for analysis of variance) and Repeated Measures ANOVA (One-way repeated measures, Repeated measures in both directions: one between and one in the postman) ✓ Principal Component Analysis (PCA Example, Pearson 1901 Data, Component Scores, Principal Component Visualization, Correlation Matrix PCA) and Exploratory Factor Analysis (The Common Factor Analysis Model, The Problem of Factor Analysis exploratory, Factor analysis of CPA data, Scree Plot, Rotation of the factor solution, Cluster analysis, How to validate clusters) ___________________________________ ✓ My courses are based on exercises with the essentials of the course to remember. ✓ Working method for better understanding. ✓ Working on concrete data which allows the work to be visualized and assimilated more quickly.
Statistics · Numerical analysis · Economics for students
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(1 review)
Badr - Marrakesh, Morocco£20
£20Over 5 years' of experience teaching Maths online!
Trusted teacher: I'm Badr, PhD in Mathematics Option Applied Mathematics. I am a graduate of Cadi Ayyad University. Passionate about maths and especially about teaching, I work as a full-time private tutor. Over the years I have worked for several sites dedicated to tutoring which has allowed me to help students of different levels. Career path : I began my career with a bachelor's degree in mathematical sciences in 2013, then continued my studies at the University of Sciences until I obtained my doctorate in 2021. I am serious and motivated to share my experience and knowledge. I have worked as a lecturer in various schools and faculties, covering a variety of subjects: Analysis, Numerical Analysis, Algebra, Optemization, Python, ... I also worked as a Math teacher at ENSA Safi, and at the Semlalia Faculty of Science. In recent years, I've turned to teaching mathematics and other subjects in parallel. I LOVE math, and teaching it is a pleasure for me before being an obligation. Courses taught: - Maths: primary, junior high, high school, university, preparatory,... Methodology: I adapt according to the student and the context. I identify students' gaps and provide more explanations by giving relevant examples so that the student understands. I am a pedagogue. I adapt my lessons to all levels. Your SATISFACTION is my goal.If you're interested, don't hesitate to contact me! See you soon!
Math · Numerical analysis · Algebra
Mara - Buenos Aires, Argentina£13
£13College and high school mathematics, mathematical analysis and algebra classes
Trusted teacher: I am Mara, Lic. in Economics and Agrarian Administration from the University of Buenos Aires, expert in algebra, mathematics and mathematical analysis classes. I have worked for more than 23 years developing a method so that you can learn and pass these subjects. Since 1999 I have prepared almost 5700 students. I help all students and professionals who need to learn, improve or refresh their knowledge of these subjects and can make the most of their time! SUBJECTS AND LEVELS Math. - Faculty (Fcea, Fmed, Social Sciences, Fing, ORT, UCU, Catolica, UM, UDE, UTEC, UTU, INET, Tecnologo, Bios, among others): Math. Mathematical analysis. Algebra. Calculation 1, Calculation 1A and 1B. For high school students, analysts, graduates, engineers or others from institutes. - Personalized classes that adapt to your needs and schedules. - Clear and practical explanations so that you thoroughly understand your subjects. - Effective study and problem-solving strategies. Online Classes. I also record them and send them to you so you can see it again. I prepare you to take regular, final and free exams from all majors and universities, public and/or private, as well as secondary schools. What are the online classes like? Classes are individual and via Google Meet, Skype, Zoom. I also teach online group classes. I also have recorded courses on all the topics I explain. What is the teaching method like? If necessary, I explain step by step the topics "from scratch" or the topics that you need to see and we will look at your specific doubts. On your screen you will see “a marker” and how I develop the content step by step while we talk. I write all the explanations by hand. You can have a notebook and pencil next to you and a calculator as well while taking the class. At the end of the class I send you all the “virtual sheets that we saw” by email and exercises to practice. Do I have to have any math software installed to take the class? No. You just have to have a computer or phone.
Math · Algebra · Numerical analysis
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William - Accra, Ghana£21
£21Introduction to Bacterial Bioinformatics: Unveiling the Secrets of Microbial Genomes
Trusted teacher: 🔰 This course provides a comprehensive introduction to bacterial bioinformatics, combining both theoretical knowledge and practical skills to analyze microbial genomes. 🔰 Designed for beginners and intermediate learners, it explores the tools and techniques used to study the genetics, evolution, and function of bacteria. Students will gain hands-on experience in using bioinformatics tools for sequence analysis, genome annotation, phylogenetics, and comparative genomics, with an emphasis on real-world applications in research and healthcare. 🔰 By the end of the course, students will be equipped to tackle bioinformatics challenges in bacterial studies and contribute to advancements in microbiology and infectious disease research. SYLLABUS: ✳️ Module 1: Introduction to Bacterial Bioinformatics ♦️ Overview of bioinformatics and its importance in microbial research ♦️ Basic concepts in molecular biology relevant to bacterial bioinformatics ♦️ Introduction to bacterial genome structure and diversity ♦️ Key databases and resources for bacterial genome information ✳️ Module 2: Introduction to Genomics and Sequence Analysis ♦️ Understanding DNA sequencing technologies (e.g., Illumina, Nanopore, PacBio) ♦️ Introduction to raw sequencing data: FASTQ format and quality control ♦️ Basic sequence alignment techniques (BLAST, Bowtie, etc.) ♦️ Handling genomic data using bioinformatics tools (Galaxy, Biopython, etc.) ✳️ Module 3: Genome Assembly and Annotation ♦️ Overview of genome assembly methods (de novo vs. reference-based) ♦️ Tools for genome assembly (SPAdes, shovill, etc.) ♦️ Genome annotation pipelines (Prokka, RAST) ♦️ Identifying functional genes, operons, and metabolic pathways ✳️ Module 4: Phylogenetics and Comparative Genomics ♦️ Introduction to phylogenetic analysis: tree building methods (e.g., neighbor-joining, maximum likelihood) ♦️ Comparative genomics: identifying conserved and variable regions ♦️ Using multiple genome alignments for strain comparison ♦️ Tools for phylogenetic analysis (MEGA, FastTree, RaxML etc.) ✳️ Module 5: Functional Genomics and Metagenomics ♦️ Analyzing gene expression and functional genomics tools ♦️ Introduction to metagenomics: studying microbial communities through sequencing ♦️ Tools for analyzing metagenomic data (QIIME, MetaPhlAn) ✳️ Module 6: Antibiotic Resistance and Bacterial Pathogenesis ♦️ Bioinformatics tools for studying antimicrobial resistance (AMR) ♦️ Identifying AMR genes in bacterial genomes ♦️ Exploring pathogenicity factors and virulence genes ♦️ Understanding the role of bioinformatics in fighting infectious diseases ✳️ Module 7: Hands-On Project ♦️ Practical exercises in bacterial genome analysis ♦️ Complete a case study: annotation, alignment, and phylogenetic analysis of a bacterial genome ♦️ Explore a real-world application of bacterial bioinformatics in research ✳️ Module 8: Future Trends and Resources ♦️ The role of artificial intelligence in bioinformatics ♦️ Emerging technologies in sequencing and bioinformatics tools ♦️ Key databases and resources for continued learning (e.g., NCBI, EMBL, KEGG)
Numerical analysis · Molecular biology · Microbiology
Yedija Messa Sirao - Manchester, United Kingdom£21
£21Learning 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
Siu Tim - Birmingham, United Kingdom£35
£35Statistics and Mathematics for Advancing thinking and logic (University Based Teaching)
This is not your traditional math class! Rather than focusing on rote memorization or rigid formulas, this course emphasizes developing a deeper understanding of mathematical and statistical reasoning. Instead of simply teaching students how to calculate an average (mean), for instance, I will guide them toward discovering how to develop a value that they believe best represents an average. This reflective approach helps students think critically about the meaning and application of mathematical concepts, rather than just performing calculations. The course prioritizes practical applications over theoretical repetition. You will engage with real-world case studies and utilize modern tools such as MATLAB, R, and Python to solve problems across fields like medicine, social sciences, and business. We will explore statistical reasoning, data analysis, and numerical algorithms, always with the goal of helping students connect these abstract concepts to professional and real-life scenarios. By encouraging students to question, analyze, and understand the underlying logic of mathematical principles, the course fosters critical thinking and problem-solving skills. By the end, you will not only know how to perform calculations but also understand the "why" behind them, enabling you to apply mathematical reasoning effectively in academic and professional contexts.
Statistics · Math · Numerical analysis
Kapil - Kazakhstan£40
£40Mathematics preparation Lessons for (IB DP, A Level, IGCSE).
As an experienced Mathematics educator, I employ various strategies to ensure my students remain actively engaged throughout their School Mathematics journey. Here are some key approaches I find effective: Fostering Emotional Connections Building strong relationships with students is crucial for engagement. I make an effort to get to know each student's interests and connect those interests to the subject matter whenever possible. Emotional intelligence is key - when students feel a personal connection to the teacher or the subject, their attention and commitment soar. Empathizing with Students Understanding where each student is academically and emotionally is essential for developing relevant, engaging lessons. I aim to have a diverse repertoire of teaching methods to cater to different learning styles and personalities. Showing students you empathize with their experiences and perspectives goes a long way in keeping them engaged. Promoting Active Learning Mathematics classes should be interactive and inquiry-based. I incorporate a variety of active learning techniques like discussions, group projects, and hands-on activities to keep students actively participating in their own learning. The IB curriculum encourages an inquiry-based approach, so I make sure to give students opportunities to ask questions and explore concepts. Connecting to the Real World Making real-world connections is key for engaging students in Mathematics. I strive to help students see how the concepts they're learning apply to current events, global issues, and their own lives. Relating the curriculum to the world beyond the classroom makes it more relevant and interesting for students. Maintaining High Expectations While Mathematics is challenging, I believe all students can succeed with the right support. I set high expectations for my students while also providing the guidance and resources they need to meet those expectations. Pushing students to challenge themselves while offering encouragement is a delicate balance, but one that keeps them engaged and motivated.
Numerical analysis
Arthur - Nairobi, Kenya£21
£21"Business Mathematics equips students with essential numerical skills for effective decision-making in business contexts. Arithmetic analysis
Embark on a journey to master the language of numbers in the realm of business with our comprehensive online class. Whether you're a budding entrepreneur, a seasoned professional, or simply intrigued by the intricate world of finance, this course offers a tailored approach to understanding and applying mathematical concepts in real-world business scenarios. Through engaging lectures, interactive exercises, and practical case studies, you will: - Develop a solid foundation in fundamental mathematical principles, including arithmetic, algebra, and calculus. - Explore the application of mathematics in various business contexts, such as finance, accounting, economics, and marketing. - Gain proficiency in analyzing financial data, interpreting key metrics, and making informed business decisions. - Learn essential numeracy skills, including interpreting graphs, understanding percentages, and calculating ratios. - Discover how to use mathematical models and tools to optimize business operations, manage risks, and maximize profitability. - Acquire the quantitative skills necessary to excel in today's data-driven business environment. Whether you're aiming to enhance your career prospects, improve your financial literacy, or simply satisfy your curiosity, this course equips you with the knowledge and skills to navigate the complex intersection of business and mathematics with confidence and proficiency. Join us and unlock the power of numbers to drive success in the world of business.
Business skills · Numerical analysis
Zain - United Kingdom£26
£26Excel Mastery Private Sessions - For Job Preparation, Beginner, Intermediate.
Trusted teacher: Microsoft Excel is an indispensable tool in today's academic, professional, and personal spheres. However, its true potential can only be harnessed with the right knowledge and skills. With my private tutoring sessions, I aim to equip you with the essential Excel skills needed to excel in various facets of your life. Whether you're seeking a comprehensive overview of Excel or focused assistance tailored to specific needs, I am here to guide you through your Excel journey. What I Offer: I provide personalised private sessions that cater to your unique requirements, whether you're looking to gain a broad understanding of Excel or focus on specific applications, such as preparing for a job interview that assesses Excel proficiency. Areas of Expertise: Introduction to Excel: Familiarisation with the Excel interface and ribbon. Navigation through workbooks, worksheets, and cells. Basic data entry techniques and formatting principles. Formulas and Functions: Constructing formulas for various calculations. Utilizing essential built-in functions like SUM, AVERAGE, and IF. Understanding absolute and relative cell references. Data Management: Sorting and filtering data for effective organization. Implementing data validation and creating drop-down lists. Working efficiently with tables for structured data handling. Data Visualization: Crafting visually appealing charts and graphs. Customizing chart elements to convey insights effectively. Applying conditional formatting for data visualization. Data Analysis: Harnessing the power of PivotTables and PivotCharts for data analysis. Performing data consolidation to streamline information. Advanced Techniques: Exploring advanced functions such as XLOOKUP and SUMIFS for enhanced data manipulation. Who Can Benefit: My private sessions are ideal for students, professionals, and individuals seeking to enhance their Excel skills for academic, career, or personal purposes. Why Choose Me: Tailored Approach: Sessions are customised to your skill level and learning objectives, ensuring maximum relevance and effectiveness. Flexible Learning: Schedule sessions at your convenience, and progress at your own pace. Expert Guidance: Benefit from my expertise and guidance as an Financial Analyst who uses Excel on a daily basis. Practical Application: Hands-on exercises and real-world examples facilitate practical learning and skill retention. Ready to Unlock Your Excel Potential? Book a Private Session Today!
Microsoft excel · Numerical analysis
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