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.

- Python Programming is currently the most utilized tool in the data analysis world. Its ease-of-use and wide variety of packages/libraries makes it a most valuable skill to have for a student wanting to get started in the world of data analysis and Object Oriented Programming. - This course is geared towards beginners and intermediates who are interested in a hands-on approach to learning without neglecting the scientific background of the covered material, which will include the following: * Introduction to Python Programming * Understanding of OOP concepts and use-cases * Crash course in statistical analysis concepts * The usage of specified analysis libraries like Pandas and Numpy * Introduction to Data science * Neural Networks

With a doctorate in mathematics and experience as a university lecturer, I have dedicated several years to teaching students in France and internationally. I support students of varying levels, emphasizing a clear, progressive, and comprehension-focused approach.

Learn Excel in a practical way, focused on real-world work situations. This isn't a theoretical course: from the very first class, you'll work with applied exercises that will help you gain confidence and improve your professional profile. It is aimed at people who want to start from scratch or improve their level of using Excel in their work, studies or personal projects. In classes you will learn to: Master Excel from basic to intermediate/advanced level Use key formulas such as SUM, IF, VLOOKUP/XLOOKUP Create pivot tables to analyze information Clean and organize data efficiently Design clear reports and basic dashboards Applying Excel to real-world business cases The classes are personalized according to your level and goals. We can work with your own files or with practical exercises that simulate real-life situations. My approach is for you to learn quickly, understand what you're doing, and be able to apply it immediately. I'm an Electronics Engineer with experience in data analysis and marketing analytics. I've worked with tools like Excel, Power BI, and RapidMiner on real-world projects, so I can teach you not only "how" but also "why" to use Excel in the workplace.

Are you struggling with mathematics or looking to deepen your knowledge? I offer private lessons tailored to your level and needs, whether you are a beginner, experiencing academic difficulties, or wishing to progress quickly. The sessions cover fundamental concepts (arithmetic, algebra, geometry, fractions, etc.) up to more advanced topics (functions, probability, trigonometry, analysis, etc.). Each course is tailored to your academic program and objectives. The goal is to give you the tools and method to understand sustainably, gain confidence and improve your results.

Welcome to Math Journeys! Mathematics isn't just about numbers on a page; it’s the language of the universe! On this journey, you won't just be "doing sums." You will be a pattern detective, a shape architect, and a logic explorer. Your Mission: To look at the world around you and find the hidden math waiting to be discovered. Whether you are counting the stars or calculating the speed of a rocket, every step you take makes your "Math Brain" stronger! 1. Early Numeracy & Logic (Ages 4–6) At the preschool and kindergarten level, math is less about formal equations and more about "number sense." This category covers: Counting and Cardinality: Recognizing numbers and understanding that a count represents a quantity. Sorting and Patterns: Identifying shapes, colors, and repeating sequences. Spatial Awareness: Understanding "above," "below," "next to," and basic geometry. 2. Operations & Algebraic Thinking (Ages 7–12) As children move into elementary and middle school, they transition from counting to calculating. This category includes: Core Operations: Addition, subtraction, multiplication, and division. Problem Solving: Translating word problems into mathematical expressions. Foundational Algebra: Understanding variables and the relationship between numbers (e.g., $2 + x = 5$). Measurement, Data & Fractions (Ages 7–12) This category addresses the more technical side of primary school math that deals with parts of a whole and real-world application: Fractions and Decimals: Moving beyond whole numbers to understand ratios and proportions. Measurement: Learning units of time, length, mass, and volume. Data Literacy: Reading simple graphs, charts, and understanding basic probability.

Want to stop “fighting with data” and start getting answers? In these lessons, you’ll learn Excel and/or Power BI in a practical, results-focused way, the same approach used in real corporate environments to build reports, dashboards, and automated workflows. We’ll start from your current level, build strong fundamentals, and quickly move into high-impact skills: cleaning data, building a solid model, writing DAX measures, and creating dashboards that communicate insights clearly. Bring your own dataset (work, school, sports, personal projects) or I can provide exercises. The goal is simple: you become faster, more confident, and more valuable with data.

This lesson builds a solid foundation in numbers and variables by helping students understand how numbers are represented, how variables are used to express unknown values, and how they relate to real-world situations. Through clear explanations, guided examples, and practice activities, students develop algebraic thinking, logical reasoning, and confidence needed for advanced mathematics.

I have 10 years of experience teaching Graduate level courses in Real Analysis, Complex Analysis, Differential Equations, Matrix Algebra, and Linear Algebra. I can take online tutorial sessions to clear doubts, solve assignments, and explain theorems. I teach using digital pen tablet and digital blackboard either on Zoom, Skype or GMeet as per your comfort. I believe in explain all concepts in detail so that the students can gain strong expertise in the subject. I have trained students for various competitive exams and government exams. Many have successfully cleared national -level exams with good ranks. My students find my teaching style calm and motivating.

Primary School Children aged 5 - 12 years old I can teach and provide support through literacy, numeracy, and health and well-being sessions. Business Lecturer I can teach, provide support with assessments to students in the first second, and third years of university.

This course is designed to help students strengthen their math skills and prepare for exams. we will cover key concepts, problem solving strategies and practice questions to build confidence and accuracy. whether you are preparing for school test, standardized exams, or just want to improve your math foundations, this class will adapt to your level and goals. Lessons are designed to make learning interactive, engaging and practical- connecting mathematical ideas to real life situations. Students will explore topics such as numbers and operations, algebra, geometry, measurement and data handling.

I aim equips students and researchers with the essential skills to conduct advanced quantitative research using industry-standard software and statistical methods. Emphasis is placed on data analysis, structural equation modeling, and applied research design, with a focus on interpreting results and applying them in academic and professional contexts. Learning Focus SPSS (Statistical Package for the Social Sciences): Data preparation, descriptive statistics, reliability testing, regression, ANOVA, and hypothesis testing. AMOS (Analysis of Moment Structures): Confirmatory factor analysis (CFA), measurement model testing, structural equation modeling (SEM), and model fit assessment. PLS-SEM (Partial Least Squares Structural Equation Modeling): Application of SmartPLS or WarpPLS for predictive modeling, higher-order constructs, mediation/moderation analysis, and validation techniques (AVE, CR, HTMT). Research Guidance: Understanding research design, formulating hypotheses, structuring a thesis, interpreting outputs, reporting results in APA style, and preparing manuscripts for conferences or journals.

Data analysis is an essential skill in today’s data-driven world. Whether you’re a student, professional, or curious learner, understanding how to interpret, visualize, and apply data can open the door to smarter decisions and deeper insights. I've designed this course as a hands-on, beginner-friendly introduction to data analysis and applied mathematics. This class is perfect for anyone who wants to develop a practical understanding of how to work with data using real-world examples and essential mathematical concepts. You’ll learn how to: -Organize, clean, and interpret datasets -Use tools like Excel, Power Bi, Python, R-studio and Tableau -Apply mathematical techniques -Visualize data through charts, graphs, and dashboards -Draw conclusions and make data-driven decisions

Mathematics is a fundamental skill that plays a crucial role in problem-solving, logical thinking, and real-world applications. Whether you're a student struggling with complex equations or someone looking to strengthen your mathematical foundation, this class is designed to make learning maths easier and more engaging. You'll learn essential concepts in algebra, geometry, calculus, and statistics through clear explanations, step-by-step problem-solving, and practical applications. This course focuses on building confidence, improving accuracy, and developing a deeper understanding of mathematical principles. Whether preparing for exams or simply enhancing your skills, this class will help you master maths with ease.