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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.
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) |
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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 ValidationERSTE 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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from 303.26 QARAt teacher's location
100% Satisfaction Guarantee
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
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from 303.26 QARAt teacher's location
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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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..............................................................
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..............................................................
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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.
Volodymyr
Uni Mathe, A-Levels, Matura etc., by a Cambridge GradA Cambridge and UniVie Grad and a soon-to-start PhD student in Computer Science and Mathematics at ISTA to teach Maths, Stats, CS and/or Computational Biology/Programming modules.
Ich spreche auch Deutsch und kenne mich mit dem Schulmaterial (z.B. Matura) und Modulen aus Uniprogramm (BSc Mathe auf Uniwien) aus.
If your goal is not just to learn some formulas by heart, but to gain a deep insight into how mathematical topics are interconnected, or to get a hand at coding and how to think algorithmically to solve complex tasks – I am just the right fit for you or your child. Additionally, I am personally familiar with the British educational system – from A-Levels (3 x A*) to University (MSc/MPhil from Cambridge with distinctions).