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Statistical Mastery : Empowering Decision-Making and Insightful Analysis

Embark on a comprehensive journey into the realm of statistics, where mastery of analytical techniques becomes your key to unlocking a world of insights and informed decision-making. Designed for individuals with a passion for data-driven exploration and a thirst for knowledge, this course offers an advanced exploration of statistical concepts and methodologies.

Led by a seasoned expert with a master's degree in statistics, this class delves deep into the intricacies of statistical theory and application. From foundational principles to cutting-edge techniques, participants will gain a holistic understanding of statistical analysis and its real-world implications.

Through a blend of theoretical lectures, hands-on exercises, and practical case studies, you'll sharpen your analytical skills and learn to harness the power of statistical tools to extract valuable insights from complex datasets. Topics covered include probability theory, hypothesis testing, regression analysis, multivariate techniques, and more.

Whether you're a seasoned statistician looking to expand your repertoire or a newcomer eager to embark on a journey of discovery, this course offers a dynamic learning experience tailored to meet the needs of diverse learners. Upon completion, you'll emerge equipped with the expertise and confidence to tackle challenging statistical problems and drive meaningful outcomes in academia, industry, and beyond.

Extra information

Please share your course syllabus before class.

Location

At teacher's location: Rennweg, Vienna, Austria

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General info

Age:
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level:
Beginner
Intermediate
Advanced
Duration:
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in:English

About Me

I hold both a Master's and Bachelor's degree in Statistics, complemented by additional studies in Actuarial Science, where I have successfully cleared 5 exams. Currently, I am purusing Master's in Quantitative Finance from WU, Vienna, Austria.

Outside of my professional commitments, I am actively engaged as a Tutor and Assignment Solution Provider on platforms such as Chegg, Truework, and freelancing portals. Leveraging my expertise, I specialize in delivering detailed solutions within stipulated deadlines, catering to the academic needs of students and clients alike.

Education

- Master of Science - Quantitative Finance from the Vienna University of Economics and Business

- Master of Science - Statistics from the University of Delhi

- Actuarial Science from the Institute and Faculty of Actuaries and cleared subjects CB1, CB2, CS1,CS2 and CM1.

Experience / Qualifications

1. Intern - Credit Risk Model Validation
ERSTE Group
01/2023 - 12/2023, Wien,Austria

- Model validation based on statistical tests using SAS tool.
- Web Scraping of data from company's portal and check data accuracy and create reports using R.
- Data profiling using Python.

2. Deputy Manager - Risk Solution & Analytics
ICRA Analytics Ltd.
06/2020 - 08/2022, New Delhi, India

- Development and computation of quarterly ECL provisioning for banks and NBFC's using PD, LGD, EAD models as per the guidelines of IFRS 9 and IAS 109.
- Automation of ECL process and migration to R/Python which brings efficiency with reduction in process cost.
- SWOT analysis of secured and unsecured portfolio's of banking clients.
- Monitoring and Validation of Credit Risk Rating models deployed for domestic and foreign clients.

3. Assistant Manager - Risk Analytics
PNB Housing Finance Ltd.
05/2018 - 11/2019, New Delhi, India

- Developed ECL provisioning models for retail and corporate portfolios.
- Building, monitoring and validation of Application and Behavioral Scorecards.
When it comes to navigating personal finances or delving into the intricacies of quantitative finance and investment strategies, it's crucial to equip yourself with the necessary knowledge and tools. Whether you're seeking to manage your own finances more effectively or delve deeper into the world of quantitative finance, mastering statistical tools such as R and Python can be immensely beneficial. By honing your skills in quantitative analysis, you gain the ability to analyze financial data with precision and make informed decisions regarding investments. Understanding concepts such as risk management, portfolio optimization, and asset pricing models becomes more accessible when supplemented with proficiency in statistical programming languages like R and Python. Moreover, proficiency in quantitative finance not only enhances your personal financial management capabilities but also opens doors to various career opportunities in finance, data analysis, and related fields. Whether you're aiming to advance in your current career path or embark on a new journey in the finance industry, having a solid foundation in quantitative finance and statistical programming can set you apart and empower you to excel in your endeavors. Therefore, whether you're looking to take control of your personal finances or pursue a career in quantitative finance, investing time and effort in learning and mastering statistical tools like R and Python is a worthwhile endeavor that can yield significant dividends in both the short and long term.

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Availability of a typical week

(GMT -04:00) New York
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from 69€At teacher's location

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 October 2022
  • Google connected

Availability of a typical week

(GMT -04:00) New York
MonTueWedThuFriSatSun
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1
  
  
  
  
  
  
  
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  Monday at 15:00
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from 69€At teacher's location

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

Hamid
Private Math Tutoring by Experienced Teacher For all Levels.
Struggling with those tricky math problems? I'm here to help you not just survive math class, but actually enjoy it! A bit about me I'm a math enthusiast with a Master's degree in Mathematics and Applications, plus I've spent 4 years in PhD studies diving deep into the mathematical universe. Over the past 7 years, I've been teaching students just like you, in both English and Arabic. .............................................................. How I can help you? I don't do one-size-fits-all teaching. Instead, I'll: Create lessons specifically designed for YOUR learning style and pace Break down complicated concepts so they actually make sense Help you crush that homework, ace those tests, and build solid skills Support you wherever you're at, from elementary arithmetic to university-level calculus and statistics .............................................................. Why students love working with me? I don't just talk about math, I help you transform your relationship with it! My students typically see their grades improve, but more importantly, they stop dreading math class. With my advanced background, I know both the "how" and the "why" behind the formulas, and I'm committed to making our sessions positive and encouraging. Please don't book a session before sending me a message to schedule your first session.

Kian
Statistics. Machine Learning. Mathematics. Clarity & Competence from Bern – For Swiss Students
Data science, statistics & mathematics – clearly explained, personally supported. My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work. With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level. Who I am – and why I teach: I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven. In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible. I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms. -What you can expect from me: One-to-one lessons with a focus on data comprehension, statistics & analytical thinking Support with projects, assignments, exams or getting started in the data world Practical explanations – step by step and adapted to your everyday life Teaching modern methods for data analysis, modeling & interpretation Long-term strategies for problem-solving & structured thinking Flexible lessons in Bern or online – personal, competent & reliable Why I can help you understand data science: Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread: How data tells stories, how you analyze it, and how you make smart decisions. With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently. Learn data analysis. Analyze and model complex data sets – understandable, practical and with structure. If you're ready to get to grips with data, I'm ready to guide you.