CS1-Actuarial Statistics

CS1-Actuarial Statistics

₹25,700.00

CS1: Actuarial Statistics – Regular Course.
Faculty: Praveen Patwari
Course Duration: 150+ hours

Category:

📘 Actuarial Statistics

CS1 Actuarial Statistics is a core actuarial paper that focuses on statistical techniques, probability models, and data analysis used in actuarial work. It equips students with the tools to analyze risk, interpret data, and apply statistical models to insurance, finance, and risk management problems. It is available through both the institutes, the Institute of Actuaries of India (IAI) and the UK-based Institute and Faculty of Actuaries (IFoA).

🔍 Why is CS1 Important?

  • It is the base of your actuarial journey along with CM1 and provides the statistical foundation for all actuarial modelling papers.
  • CS1 helps you learn the different types of probability distribution, regression models, analyzing and interpreting the data.
  • The knowledge gained in CS1 are applied all over in data analysis, statistical modelling, and risk quantification every day.
  • You can also give CB2 (Business Economics) along with CS1 – a good combo for placements and knowledge.

🧠 Main Topics in CS1 (Subjective)

CS1 covers both theoretical and practical topics like:

  1. Probability Theory & Random Variables – distributions, expectation, variance
  2. Statistical Distributions & Inference – hypothesis testing, confidence intervals
  3. Correlation & Regression – simple and multiple regression, model fitting
  4. Time Series Analysis – forecasting and trend analysis
  5. Bayesian Statistics & Credibility Theory – decision-making under uncertainty
  6. Survival Models & Failure Data – mortality, hazard rates, censoring techniques
  7. Risk Models & Claims Distributions – frequency-severity models, compound distributions
  8. Statistical Computing in R – data manipulation, simulations, regression outputs

💼 Where Can You Use CS1 Knowledge?

  1. General Insurance: Analyzing claims frequency & severity.
  2. Life & Health Insurance: Mortality, morbidity, and survival analysis.
  3. Banking & Finance: Risk modeling and loss distributions.
  4. Data Science: Applying R for actuarial analytics.
  5. Risk Management: Quantifying uncertainty and forecasting.

📝 How to Prepare for CS1?

  • Focus on building the understanding on the topics probabilities, common distributions, estimation, hypothesis testing and regression.
  • Start practicing Paper B and master the platform of R by learning functions like mean(), var(), rnorm(), for() and if().
  • After completing the syllabus two times with revision, start solving the PYPs and give Mock Tests.

📑 Structure of CS1

CS1 is divided into two parts:

Component Exam Format Duration
CS1A – Theory IAI: Computer-Based Objective + Subjective (MS Word)
IFoA: Written theory (MS Word)		 3 hours 15 minutes
CS1B – Practical R-based application test using real actuarial problems 1 hour 45 minutes

📚Topics Covered and their Weightings

Topic Weightage
Data Analysis 10%
Random variables and distribution 20%
Statistical inference 25%
Regression theory and applications 30%
Bayesian statistics 15%

📊 Passing Criteria

Institute Passing Marks
IAI (India) 50% (Fixed); 30% in both Paper A and Paper B
IFoA (UK) 56%–65% (Varies by term)
WHAT YOU WILL GET

Course Deliverables

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Recorded Lectures (A + B )
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Soft Copy of Resources
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Access to Student Dashboard
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Technical Support
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Chapter Wise MCQ Bank
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Regular Mentoring Sessions
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Live Industry Expert sessions
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Live Concept Classes ( A + B )
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Mock Test with Detailed Evaluation (6 Sets)
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Hard Copy of AEI Own Compiler
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Course Extension (2 More Terms)
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Interactive Q & A Forum

Mokshit KothariAIR 1
Shruti MishraAIR 1
Vishakha AgarwalAIR 1
Adarsh Agarwal97
Siddharth Sonthalia95
Manchite Chaudhary94
Nishtha Shah92
Sparsh Modi91
Aditi Agarwal90
Aman Shah90
Chirag Gupta90
Juhi Goyal90

FACULTY

Meet The Instructor


Praveen Patwari is a Qualified Chartered Accountant who has cleared 14 out of 15 Actuarial Science papers. He began teaching in high school and has trained 5000+ students. Known for his captivating attitude and intelligence, he has produced top scorers in Actuarial Science across India with 8 times AIR 1 in CM1. His journey demonstrates persistence, discipline, and deep knowledge, making him a sought-after speaker. He has delivered sessions at prestigious institutions like SRCC, Miranda House, Hansraj College, Lady Shri Ram, St. Xavier’s College, BESC and Ramjas College.

Shivangee Agarwal is a Qualified Actuary with a Master’s in Data and Business Analytics from IIM Indore. She secured All India Rank 1 in CT7 – Business Economics and holds a B.Com (Hons in Finance) from St. Xavier’s College, Kolkata. Over 8+ years, she has taught 3000+ students in Actuarial and Data Analytics domain, becoming a favourite coach for CS2, CB2, CP2, and CP3 papers. She has expertise in Excel and R Programming. Her inspiring journey led her to conduct workshops and lectures at various colleges like Lady Shri Ram College, St. Xavier’s College, SRCC, Mithibai College, IIM Indore and IBS Hyderabad.

Siddharth Sonthalia graduated in Economics from St. Xavier’s College, Kolkata in 2022. He has experience in using Actuarial modelling softwares and close to 4 years of experience in the Life Insurance domain. He is a member of the IFoA and is a Qualified Actuary. He is also a faculty at the Christ University, Bangalore for their Masters in Actuarial Sciences Programme.

Gaurav Kumar Patwary is a risk management professional with almost four years of experience in model risk management for quantitative finance-based models used in the Asset Management division of a multinational bank. He holds a Bachelor’s degree in Economics from St. Xavier’s College, Kolkata, and a Master’s degree in Economics from Delhi School of Economics. Additionally, he has cleared 8 out of 13 actuarial papers from the IAI. During his work, he has also gained hands-on experience in Python, developing codes to test and challenge various aspects of models, further enhancing his technical skillset. His academic background and industry experience provide a strong foundation in statistics, economics, and finance.

PLAYLIST

Demo Class Videos


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