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Discover the Best Private Numerical analysis Classes in Nagoya

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 Nagoya, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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1 numerical analysis teacher in Nagoya

Physics · Mechanical engineering · Numerical analysis
Python · Math · Numerical analysis
Trusted teacher: 🔰 SPSS is one of the leading statistical tools used by researchers, data scientists, and students worldwide. 🔰 Whether you are exploring trends in biological research, conducting surveys, or analyzing experimental data, SPSS empowers you to transform raw data into actionable insights. 🔰 In this comprehensive course, you will learn the fundamentals of SPSS in a simple, step-by-step manner, tailored for individuals from any background. 🔰 By the end, you will be equipped with the essential skills to analyze, interpret, and present data confidently, making this course an invaluable tool for your research or professional journey. COURSE OUTLINE ✳️ Module 1: Introduction to SPSS ◘ Lesson 1.1: What is SPSS and Why Should Biologists Use It? • Overview of SPSS • Key features and benefits for biological research ◘ Lesson 1.2: Installing and Navigating SPSS • Installation guide • Understanding the SPSS interface • Data entry basics: How to input data manually ◘ Lesson 1.3: Data Types and Variables • Understanding variable types (Nominal, Ordinal, Scale) • Setting up variables in SPSS ✳️ Module 2: Data Management and Organization ◘ Lesson 2.1: Importing and Exporting Data • Importing Excel, CSV, and other formats into SPSS • Exporting data and results from SPSS ◘ Lesson 2.2: Data Cleaning and Preparation • Handling missing values • Sorting and filtering data • Recode and compute variables ◘ Lesson 2.3: Data Transformation for Biological Analysis • Creating new variables based on existing data • Using conditional statements ✳️ Module 3: Descriptive Statistics ◘ Lesson 3.1: Basic Descriptive Statistics • Mean, Median, Mode, Range, and Standard Deviation • Using SPSS to calculate and interpret descriptive statistics ◘ Lesson 3.2: Visualizing Data • Creating histograms, bar charts, and pie charts • Using boxplots and scatterplots for biological data ✳️ Module 4: Hypothesis Testing in SPSS ◘ Lesson 4.1: Introduction to Hypothesis Testing • Understanding p-values, significance, and confidence intervals ◘ Lesson 4.2: T-Tests and ANOVA • Independent and Paired Sample T-Tests • One-way and Two-way ANOVA ◘ Lesson 4.3: Non-Parametric Tests • Mann-Whitney U Test, Kruskal-Wallis Test • When to use non-parametric tests in biology ✳️ Module 5: Correlation and Regression Analysis ◘ Lesson 5.1: Correlation Analysis • Pearson’s and Spearman’s correlation • Interpreting correlation coefficients in biological research ◘ Lesson 5.2: Linear Regression • Simple linear regression • Multiple linear regression: When and how to use it • Assumptions of linear regression ◘ Lesson 5.3: Logistic Regression • Understanding binary outcomes • Conducting and interpreting logistic regression ✳️ Module 6: Advanced Statistical Techniques ◘ Lesson 6.1: Factor Analysis • Overview and applications in biology • Conducting factor analysis in SPSS ◘ Lesson 6.2: Cluster Analysis • Hierarchical and K-means clustering • Applications in biological data sets ◘ Lesson 6.3: Multivariate Analysis of Variance (MANOVA) • When to use MANOVA in biological research • Conducting and interpreting MANOVA ✳️ Module 7: Reporting and Interpreting Results ◘ Lesson 7.1: Generating and Interpreting Output • Understanding SPSS output tables and charts • Reporting statistical findings in biological research ◘ Lesson 7.2: Writing a Statistical Report • Structuring a scientific report with statistical results • Communicating complex data simply and effectively ✳️ Module 8: SPSS for Biological Research Projects ◘ Lesson 8.1: Designing a Research Project Using SPSS • Setting research objectives and data collection strategies • Using SPSS for hypothesis testing and analysis ◘ Lesson 8.2: Case Studies in Biology • Real-world biological examples using SPSS (e.g., population genetics, ecology, microbiology) • Hands-on project using SPSS to analyze biological data ✳️ Final Project ◘ Lesson 9.1: Capstone Project • Students will analyze a biological dataset using the techniques learned in the course • Submission of a final report including data analysis, results, and conclusions
Database · Biology · Numerical analysis
Trusted teacher: Are you having trouble with your programming classes? Have you always been intrigued by programming, but don't you dare take the plunge on your own? Do you already have basic knowledge, but want to improve your level? So I can help you with your goals. I adapt to your individual needs and experience level. With 10 years of scientific research and holder of a doctorate in Geographical Sciences from the Free University of Brussels, I have been using Python for several years for the automation of data collection and processing, in particular the processing of satellite images with Machine Learning and Deep Learning tools. Why Python and not another programming language? • Among the various programming languages, it is probably the one with the simplest and easiest to understand syntax, which makes it an ideal language for beginners. • It is one of the most popular programming languages and the demand for professionals with Python skills is high. Many industries, including technology, finance, and healthcare use Python extensively. • It is a versatile language that can be used for many applications like scientific computing, data analysis, artificial intelligence, etc. Different formulas are possible: • Help with success for students having difficulties with their programming courses. • For people with basic knowledge of Python: ◦ Take it to the next level with object-oriented programming. ◦ Introduction to the highly sought-after field of Data Science Data with Python
Numerical analysis · Python · Computer programming
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
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Our students from Nagoya evaluate their Numerical Analysis teacher.

To ensure the quality of our Numerical Analysis teachers, we ask our students from Nagoya to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 27 reviews.

Preparing school students and candidates in Math, EPSO, SAT, PSAT, etc. (Update: 6 Sept 2023) (Etterbeek)
Danis
I had a pack of 10 hours with Danis, to prepare for the numerical reasoning section of a Cast FG IV. As I lack the basics of maths, Danis prepared a comprehensive curricula to teach me "good maths" while understanding my need to achieve results fast. He was always receptive to my questions and repeated (again and again) the explanations until I understood. Danis definitely contributed to increase my confidence. P.S. - The test was "easy" and I passed, but I doubt I would have if it weren't for Danis efforts and hope in me.
Review by RAQUEL
Learn Maths, Project Management (PMP), Agile Project Management and Tableau (Coventry)
Etido
Very helpful, very encouraging, very knowledgable. I need some last minute help with a project and Etido stepped up to the mark. He knows tableau very well, and his teaching method was informative and reassuring. I would recommend him as much for trouble-shooting as teaching. I may need his services again and I certainly won't hesitate to contact him.
Review by REBECCA
Financial Statement Analysis - Understanding and Analyzing Financial Statements for better decision making
Asim
What a great tutor. Explains everything very well and makes it simple to understand all the difficult finance concepts. Asim is very friendly, kind, and easy to talk to. Very professional and knowledgeable and I can also see his passion and dedication to teaching.
Review by LAURA