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Private lessonsNumerical AnalysisNumerical Analysis in Mohammedia

2 numerical analysis teachers in Mohammedia

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2 numerical analysis teachers in Mohammedia

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(1 review)
Hicham - Rabat, MoroccoC$31
C$31High 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, GhanaC$35
C$35Introduction 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
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Amine - Paris, FranceC$68
C$68Experienced 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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Mara - Buenos Aires, ArgentinaC$24
C$24College 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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Abdou - Riyadh, Saudi ArabiaC$52
C$52Statistics, Data Visualization, and Machine Learning for Beginners
📊 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.
Statistics · Math · Numerical analysis
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Our students from Mohammedia evaluate their Numerical Analysis teacher.

To ensure the quality of our Numerical Analysis teachers, we ask our students from Mohammedia to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 34 reviews.

Preparing school students and candidates in Math, EPSO, SAT, PSAT, etc. (Update: 6 Sept 2023) (Etterbeek)
Danis
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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
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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
Mathematics tutoring from secondary school to master's level by a French master's graduate (Schoten)
Han
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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!
Review by JORDAN

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