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    Preparation course for Sat mathematics examination

    Sat math test includes 3 main part. Problem Solving and Data Analysis is about being quantitatively literate. It includes using ratios, percentages, and proportional reasoning to solve problems in science, social science, and career contexts.

    The Heart of Algebra focuses on the mastery of linear equations and systems, which helps students develop key powers of abstraction.

    Passport to Advanced Math focuses on more complex equations and the manipulation they require.

    Extra information

    Bring your own calculator

    Location

    At teacher's location: MURAT MARKET 2 (KIRCAMİ), Yeşilbahçe, Muratpaşa/Antalya, Turkey
    Online via webcam
    At student's location: Around Antalya, Turkey

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    General info

    Age:
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    The class is taught in:English
    The course frameworks for AP Calculus AB and AP Calculus BC define content students must know and skills students must master in order to earn transferable, long-term understandings of calculus. The frameworks reflect a commitment to what college faculty value and mirror the curricula in corresponding college courses.

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    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since August 2020
    • Phone number verified
    • Google connected

    Availability of a typical week

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    from 224.99 QARAt teacher's location
    from 224.99 QAROnline via webcam
    from 337.48 QARAt student's home

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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    Radouan
    Comprehensive Thesis Support in Statistics, Probability, and Data Analysis Using R
    Comprehensive Thesis Support in Statistics, Probability, and Data Analysis Using R For Bachelor’s, Master’s, and Doctoral Students – All Disciplines Are you currently preparing your final thesis, research paper, or academic dissertation and struggling with the statistical component, data analysis, or the use of R software? I offer specialized, high-level academic support for students and researchers needing assistance in designing, executing, and presenting quantitative research using rigorous statistical methods and advanced data analysis with R. --- Who I Help Students and early-career researchers in fields such as: Economics, Finance, Business & Marketing Management & Human Resources Psychology, Education, Sociology & Political Science Public Health, Epidemiology & Medicine Engineering, Environmental Sciences & Urban Studies Data Science, Computer Science, Mathematics & Machine Learning Whether you're a beginner in statistics or already comfortable with data but unsure how to structure your work academically — I adapt to your needs. --- Detailed Services Offered 1. Research Design & Statistical Methodology Refining research questions and translating them into statistical hypotheses Identifying appropriate study designs (experimental, quasi-experimental, cross-sectional, longitudinal, etc.) Selection of variables, metrics, and scales Determining sample size and statistical power (power analysis) Building conceptual and analytical frameworks 2. Data Analysis Using R Data cleaning and wrangling (dplyr, tidyr, data.table, etc.) Exploratory data analysis (EDA) with graphical and statistical summaries Statistical testing: t-tests, ANOVA, chi-square, Mann-Whitney, Wilcoxon, etc. Regression models: Linear regression Logistic regression Multinomial and ordinal regression Poisson and negative binomial models Panel data models Multivariate techniques: PCA (Principal Component Analysis) Factor Analysis Cluster Analysis (k-means, hierarchical) Correspondence Analysis Machine Learning (optional): Decision trees, Random Forests, SVM, etc. Time series analysis (ARIMA, Holt-Winters, Exponential smoothing) Data visualization using ggplot2, plotly, shiny dashboards (on request) Code optimization and creation of custom reusable scripts 3. Writing and Structuring Statistical Sections Assistance with writing the methodology and results sections: In proper academic English (or French) With clarity, scientific accuracy, and structured argumentation Proper interpretation of p-values, confidence intervals, effect sizes, R2, etc. Integration of graphs, tables, and summary statistics directly from R Help with organizing appendices (data tables, code snippets, raw outputs) 4. Proofreading, Review, and Feedback In-depth review of your full draft Correction of technical and logical inconsistencies in the statistical reasoning Advice on improving academic flow and clarity Formatting guidance (APA, MLA, Chicago, Harvard, etc.) 5. Coaching & Pedagogical Support One-on-one coaching sessions tailored to your level and project Explaining every concept and technique so that you understand and own your thesis Simulation and walkthrough of a potential thesis defense or presentation Tips on how to explain your statistical choices and justify your findings to your supervisor or jury --- Languages & Communication Work in English or French Clear, responsive communication Support available via email, Zoom, Google Meet, or your preferred platform Live screen sharing, real-time R coding, file exchange, and collaborative editing via Google Docs or Overleaf --- Flexible and Transparent Work Format One-time assistance (specific problem or section) Ongoing support throughout the thesis process (several weeks/months) Help available even on weekends and evenings Discretion, confidentiality, and academic integrity guaranteed --- Why Work With Me? Over 20 years of experience in mathematics and teaching Master’s degree in Mathematics with specialization in mathematics education and applied statistics Practical expertise as a data analyst, working on real-world datasets and academic projects Strong command of R, as well as experience with SPSS, Excel, Python (on request) Successful track record of supporting dozens of students in completing theses in Europe, North Africa, and North America