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Numerical analysis lessons in Manchester

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2 numerical analysis teachers in Manchester

Math · Numerical analysis · Algebra
(1 review)
Amine - Paris, France£36
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
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
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
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
Business skills · Numerical analysis
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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 4 reviews.

Experienced EPFL tutor for programming courses (Java / Python / C / Scala / Arduino etc.) (Renens)
Pierre-Hadrien
Fantastic with younger kids - patient and attentive!
Review by GAYLE

Numerical Analysis in nearby cities