CS1

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SKU: N/A Category: Actuaries

About Course

CS1 – ACTUARIAL STATISTICS

Area	Description
Introduction	Actuarial Statistics is an area of actuarial science that uses your statistical and analytical skills to solve business problems.
Aim	Strengthens your data visualization and analysis capabilities to help you sort an issue faster.
Grounding	Provides a grounding in mathematical and statistical methods that are of relevance for actuarial work.
Topics Covered	Statistical distributions, methods to summarise data, the principles of statistical inference, regression models (including generalised linear models) and the fundamental concepts of Bayesian statistics.
Theory & Practice	The subject includes both theory and application of the ideas using R.

Detail	Information
Number of Papers	2 Papers – CS1A and CS1B
CS1A Duration	3 Hours 20 Minutes
CS1B Duration	1 Hour 50 Minutes (computer-based exam using R)
Scientific Calculator	Allowed

Skill Type	Weightage
Knowledge	20%
Application	65%
Higher Order Skills	15%
In the CS subjects, the approximate split of assessment across the three skill types is 20% Knowledge, 65% Application and 15% Higher Order Skills.

Why TAJ

#	Feature	Details
1	Experienced corporate faculties	With 13–14 exams cleared to make you understand the application of knowledge contained in the subject.
2	Classes available in all 3 modes	Classroom, Live Online and Videos.
3	Multiple small batches	To focus on personal interaction and development.
4	Regular assessments and feedback sharing	To discuss your improvement areas.
5	Detailed study plan and chapter-wise important topics	With detailed descriptions and main highlights.
6	Exclusive writing and discussion sessions	Oriented towards past paper discussions.
7	Regular doubt classes	To help you learn technical skills and clear your conceptual knowledge.
8	Regular contacts with companies and start-ups	To share your resume and prepare you accordingly for interviews.
9	In-depth training of R programming	To prepare you for the online exam.
10	Experienced corporate faculty for R	Working as a Python developer in a leading MNC.
11	Self-designed coding notes by faculty	Quick notes with detailed R coding, methods and formulae in hard copy to make learning easy for you.
12	Complimentary software installation	Along with an R reference material book.

Area	Coverage
Overview	Actuarial Statistics (CS1) provides a grounding in mathematical and statistical methods that are of relevance for actuarial work.
Topics	Statistical distributions, methods to summarise data, the principles of statistical inference, regression models (including generalised linear models) and the fundamental concepts of Bayesian statistics.
Application	The subject includes both theory and application of the ideas using R.

Detail	Information
CS1A	3 hours 20 minutes
CS1B	1 hour 50 minutes (computer-based exam using R)
Calculator	A scientific calculator is allowed in the exam. However, you can use only one of the models from the list below. This can also be used for future exams.

#	Allowed Calculator Model	Note
1	Casio FX82 (ES/MS)	With or without any suffix
2	Casio FX83 (ES/MS)	With or without any suffix
3	Casio FX85 (ES/MS)	With or without any suffix
4	Sharp EL531	With or without any prefix or suffix
5	Texas Instruments BA II Plus	With or without any suffix
6	Texas Instruments TI-30	With or without any suffix
7	Hewlett Packard HP12c	With or without any suffix

#	Topic	Weightage
1	Random Variables and Distributions	20%
2	Data Analysis	15%
3	Statistical Inference	20%
4	Regression Theory and Applications	30%
5	Bayesian Statistics	15%

Skill Type	Weightage
Knowledge	20%
Application	65%
Higher Order Skills	15%
In the CS subjects, the approximate split of assessment across the three skill types is 20% Knowledge, 65% Application and 15% Higher Order skills.

About Faculty

Faculty	Mr. Puneet Goyal
Aim	Comes with the sole aim of providing students with a plethora of information through his management skills and innovative teaching style.
Teaching Approach	Does not believe in books but in knowledge, and focuses on students learning and understanding concepts rather than mugging them up.
To know more about our faculty – Click on LinkedIn Profile