Statistical Mastery : Empowering Decision-Making and Insightful Analysis
From 61.63 £ /h
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
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.
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.
- 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.
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.
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
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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.
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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