CS1 SSP (Self Study Programme)

Course: CS1 | Faculty: Mr. Puneet Goyal

Features	Full	EVP	SSP
Exclusive Video Lectures	✓	✓	✓
Chapter Wise Summary Lists	✓	✓	✓
Assignment/Tests/Mocks	✓	✓	✓
Placement Assistance	✓	✓	✓
Live Classes (Online/Offline)	✓	✕	✕
Weekly Targets	✓	✓	✕
Video Tracking	✓	✓	✕
Marking on Test & Mocks	✓	✓	✕
Q&A Portal	✓	✓	✕
Validity	1 Year	1 Year	Limited

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. Actuarial Statistics aims to strengthen your data visualization and analysis capabilities to help you sort an issue faster.
Overview	Actuarial Statistics (CS1) provides a grounding in mathematical and statistical methods that are of relevance for actuarial work.
What You Learn	It equips the student with knowledge of 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 and 20 minutes exam
CS1B	1 hour and 50 minutes computer-based exam (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, chapter wise important topics	Detailed description – main highlights.
6	Exclusive writing and discussion sessions	Oriented to past papers discussion.
7	Regular doubt classes	To help you learn technical skills and clear your conceptual knowledge.
8	Regular contacts with companies and start-ups	So as to share your resume and prepare you accordingly for interviews.
9	In depth training of programming language R	To prepare for online exam.
10	Experienced corporate faculty	Working as Python developer in leading MNC for R.
11	Self designed coding notes by faculty	To make learning easy for you. Get access to quick notes with detailed R coding, methods and formulae in hard copy.
12	Software installation and R reference material book	As complementary.

Area	Coverage
Overview	Actuarial Statistics (CS1) provides a grounding in mathematical and statistical methods that are of relevance for actuarial work.
Topics	It equips the student with knowledge of 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 and 20 minutes exam
CS1B	1 hour and 50 minutes computer-based exam (R)
Calculator	Scientific Calculator is allowed in 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
About	He comes with a sole aim of providing students with plethora of information with his management skills and innovative teaching style.
Teaching Approach	He does not believe in books but instead on knowledge and focuses students to go for learning and understanding concepts rather than mugging them.
To know more about our faculty – Click on LinkedIn Profile