facebook
Become a Tutor

Discover the Best Private Numerical analysis Classes in Renens

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

search-teacher-icon

Find Your Perfect Teacher

Explore our selection of Numerical analysis tutors & teachers in Renens and use the filters to find the class that best fits your needs.

chat-icon

Contact Teachers for Free

Share your goals and preferences with teachers and choose the Numerical analysis class that suits you best.

calendar-icon

Book Your First Lesson

Arrange the time and place for your first class together. Once your teacher confirms the appointment, you can be confident you are ready to start!

Private lessonsNumerical AnalysisNumerical Analysis in Renens

5 numerical analysis teachers in Renens

0 teachers in my wish list
+–

5 numerical analysis teachers in Renens

Shahbaaz - Paris, France18Fr
18FrDigital modeling and simulation for engineers
Trusted teacher: Mechanical Engineer graduated from INSA Lyon gives courses to teach students how to carry out digital modeling and simulations as part of higher engineering studies. Whether for power transmission, material resistance, vibration and acoustics, solid dynamics, structural mechanics, heat transfer and fluid mechanics, the objective is to teach student how to take charge and thus master software, such as ANSYS, ABAQUS FEA, COMSOL Multiphysics, STAR CCM+, MATLAB and ARTEMIS, which allow engineering students to carry out case studies and projects in the field of elements and finite volumes or using numerical schemes and the finite difference method. I have sufficient experience in numerical modeling and simulation applied to various engineering cases such as: 1. Thermal analysis of CubeSat 2. Thermal study of heat-reflecting paint 3. Study of fluid mechanics in agitation and mixing 4. Fluid mechanics study of an inclined skate 5. Acoustics analysis of various sounds 6. Vibration analysis of structures 7. Analysis of bearings and their vibration due to present defects 8. Simulations of transmission errors in gears 9. Modeling contacts in gears 10. Hertz theory 11. Study of Friction and Lubrication of an air thrust bearing 12. Thermoelasticity simulation 13. Simulation in Structural Calculation 14. Simulation of static resistance of a car 15. Simulation of mechanical resistance of beams
Physics · Mechanical engineering · Numerical analysis
Translate this text using Google Translate.
(1 review)
Hicham - Rabat, Morocco18Fr
18FrHigh School Mathematics Course (NSI included: Python)
Trusted teacher: As a highly qualified mathematics teacher, graduate of the teachers' college and with 17 years of teaching experience in public high schools, I am happy to offer distance learning mathematics tutoring courses for students of Second - 1st and Terminal level all specialties, as well as the 5th, 4th and 3rd levels of the college. My primary objective is to help students improve their level, deepen their knowledge, assimilate their lessons, fill their gaps and improve their skills in the discipline of mathematics. In addition, I am perfectly able to support them in the preparation of their exams and competitions for access to the Grandes Ecoles, and to provide them with homework help so that they can succeed in this subject. With my advanced math skills and knowledge, I am confident that I can provide my students with effective tools and techniques to help them progress. My goal is to give them confidence and help them develop a passion for mathematics, a subject that can seem daunting at first, but can be exciting and rewarding if taught in an interesting and fun way. In summary, I am confident in my skills as a Mathematics - Computer Science teacher to help students of all levels progress and succeed in this demanding subject. I am convinced that my dynamic and stimulating teaching methods will help my students achieve their goals in mathematics and/or computer science.
Python · Math · Numerical analysis
William - Accra, Ghana14Fr
14FrFundamentals of SPSS for Biologists: A step by step approach to doing more with SPSS
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
« Previous«
Showing results 26 - 50 of 15426 - 50 of 154
Next »»

Our students from Renens evaluate their Numerical Analysis teacher.

To ensure the quality of our Numerical Analysis teachers, we ask our students from Renens to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 6 reviews.

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
Numerical Analysis (Methods) Course for College Students (Berlin)
Mohamed
Mohamed was knowledgable and patient, and demonstrates a strong work ethic and sense of duty to his students.
Review by JOEL
Mathematics lesson (Math University Graduate teacher)
Cristina
A lovely teacher, would highly recommend
Review by ANA

You are here

Private lessons
Numerical Analysis
Numerical Analysis in Renens