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Find the Best Online Numerical Analysis Tutors & Teachers for Private Lessons

For over a decade, our private Numerical Analysis tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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186 online numerical analysis teachers

Abdou

verified teacher icon
Saudi Arabia
$42

60-min

/h

trusted teacher iconTrusted teacher

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

Statistics, data visualization and machine learning for beginners – course in FrenchTranslate this text using Google Translate.

📊 Introduction to Data Science with Python Full Title: Statistics, Data Visualization, and Machine Learning for Beginners (100% online course – for students, professionals in retraining, or curious data enthusiasts) Data science is now at the heart of the most innovative professions and strategic decisions in all sectors. However, when you're just starting out, you can quickly feel overwhelmed by technical jargon, Python libraries, or statistical models. With this course, my goal is to make this exciting discipline understandable and accessible to everyone, even without advanced mathematical training or computer science background. I offer step-by-step support based on practical experience, concrete projects, and a supportive teaching approach. You'll learn how to manipulate data, extract information from it, and create your first machine learning models with ease. 🎯 Course objectives Discover the basic tools of Data Science with Python Understand and apply the fundamental concepts of exploratory statistics Know how to manipulate, clean, visualize and interpret real data sets Carry out initial predictive modeling (linear regression, classification) 📚 Course content ✔ Fundamental libraries in Data Science – pandas: reading, cleaning and transforming data – numpy: mathematical operations and array manipulation – matplotlib & seaborn: clear and aesthetic data visualization – Getting Started with Scikit-Learn for Machine Learning ✔ Data cleaning and analysis – CSV file import and data mining – Management of missing values and duplicates – Creation of variables, filtering, groupings – Visualization: histograms, curves, heatmaps, boxplots... ✔ Introduction to Machine Learning – Understand how linear and logistic regression work – First classification models (KNN, simple decision trees) – Data separation (training/test set), single cross-validation – Interpretation of results and improvement of the model 🧭 How the sessions work 1️⃣ Assessment of the student's objectives: discovery, professional project, preparation for training, etc. 2️⃣ Personalized progression plan, adapted to the starting level. 3️⃣ Alternation of visual theory and intensive practice on real data sets (health, sports, finance, etc.). 4️⃣ Practical mini-projects at each stage: analyzing survey results, predicting simple results, automating analyses. 5️⃣ Explanation of errors encountered, individualized educational monitoring. 6️⃣ Regular assessment, with reinforcement of key points as needed. 🌐 100% online courses – accessible teaching methods Classes via Zoom, Google Meet, or the tool of your choice Live screen sharing, work on interactive notebook (Jupyter or Google Colab) PDF supports + commented code provided after each session Possibility of intensive coaching for training or an interview Flexible hours, adapted to the time zone of the Gulf countries and your availability 👨‍🎓 For whom? Complete beginners in Data Science and Python Students wishing to enrich their profile with practical skills Professionals retraining for data professions Anyone curious about understanding the world through data! This course has been designed so that each participant can progress at their own pace, develop their analytical logic and discover the pleasure of "making the data speak". Feel free to contact me to discuss your goals and build a customized program together. I would be delighted to accompany you on this wonderful adventure that is data science.

Marouane

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Morocco
5.0

1 reviews

(1)

$24

60-min

/h

trusted teacher iconTrusted teacher

Give your child the keys to success in Mathematics: Personalized online courses!Translate this text using Google Translate.

Give your child the keys to success in Mathematics: Personalized online courses!Translate this text using Google Translate.

As a parent, you want the best for your child's education. 🎓 With over 10 years of teaching experience and a PhD in Mathematics and Computer Science, I offer online math courses designed to meet your child's specific needs, whether they are in middle or high school. 📈 🔧 Modern Methods: My tried-and-tested, modern teaching approach uses innovative tools to make learning both effective and engaging. 💻 Thanks to the use of an iPad with a stylus ✍️ and a magnetic whiteboard 🧲, each lesson is clear, interactive, and tailored to your child's level. These tools allow mathematical concepts to be visualized in a concrete way, thus facilitating the understanding and assimilation of key notions. 🧠 🎯 Objectives: I cover a wide range of subjects 🧮, including essential topics for middle and high school students such as factoring and expansion, equations, continuity, differentiation, and trigonometry, as well as all other subjects in the middle and high school curriculum. 🧩 These lessons are designed to strengthen your child's skills, prepare them for exams 📝, and deepen their knowledge. 📚 🎓 Personalized Support: My goal is to support your child in their academic success 🌟, by offering them personalized support adapted to their learning pace. Together, we will create a personalized plan to ensure he achieves his academic goals and develops lasting confidence in his abilities. 💪 📞 Book online classes for your child now and give them quality instruction that will make all the difference! 🌟

Amine

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France
5.0

1 reviews

(1)

$42

60-min

/h

trusted teacher iconTrusted teacher

Experienced Engineer & Professor – Advanced Data Analysis & Statistics | Applied Courses | 300+ people | SPSS, R. Jamovi, JaspTranslate this text using Google Translate.

Experienced Engineer & Professor – Advanced Data Analysis & Statistics | Applied Courses | 300+ people | SPSS, R. Jamovi, JaspTranslate this text using Google Translate.

✓ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP • Excel ✓ 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

Mara

Argentina
$17

60-min

/h

trusted teacher iconTrusted teacher

College and high school mathematics, mathematical analysis and algebra classesTranslate this text using Google Translate.

College and high school mathematics, mathematical analysis and algebra classesTranslate this text using Google Translate.

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.

Karim

France
$34

60-min

/h

Numerical Analysis: Numerical Methods and Scientific Computing (with Matlab)Translate this text using Google Translate.

Numerical Analysis: Numerical Methods and Scientific Computing (with Matlab)Translate this text using Google Translate.

Are you an engineering or mathematics (Bachelor's/Master's) student who finds numerical analysis too abstract or difficult to apply? This course provides a rigorous yet practical introduction to scientific computing, showing how numerical methods are used to solve real engineering and scientific problems. You'll first learn how numerical computations behave by studying floating-point arithmetic, rounding and truncation errors, conditioning, stability, and error propagation. These concepts are essential for understanding why numerical algorithms succeed—or fail. Next, you'll learn how to solve nonlinear equations using the bisection method, fixed-point iteration, and Newton's method, before moving on to linear systems through both direct methods (Gaussian elimination, LU decomposition, Cholesky factorization) and iterative methods (Jacobi, Gauss-Seidel, and relaxation methods). The second half of the course covers polynomial interpolation and approximation (Lagrange, Newton, Hermite, least-squares approximation, and splines), numerical differentiation and integration, and numerical methods for ordinary differential equations, including Euler's method, Runge-Kutta methods, and finite difference techniques. Every algorithm is implemented step by step in Matlab so that you not only understand the mathematics behind it but also learn how to apply it to practical engineering problems. Throughout the course, we compare the accuracy, convergence, stability, and computational efficiency of the different numerical methods. This course is ideal for students preparing for university exams, engineering projects, scientific computing courses, or anyone wishing to build solid foundations in numerical analysis. Prerequisites: A good understanding of single-variable calculus, basic linear algebra, and elementary programming concepts is recommended.

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Our students evaluate their Numerical Analysis teacher.

To ensure the quality of our Numerical Analysis teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 38 reviews.

“ 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. ”

“ 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. ”

“ Han is very professional and friendly. He does a fantastic job at preparing lessons and support that is tailored perfectly to the student. He goes over and above to ensure that students receive quality support that is appropriate for their level and that provides a framework for their exam success. I would definitely recommend taking Han's classes! ”

To ensure the quality of our Numerical Analysis teachers, we ask our students to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 38 reviews.

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