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Data Science: Re-defining future value of Actuaries Webinar series 2023

About the program

It has been quite some time that, Data Science became a key word in the contour of all professions with Machine learning and Artificial Intelligence as important sub-products. While actuaries traditionally involved in decision making on the basis of Mathematical logics and Statistical inferences, advancement of data science is expected to capture most of the actuarial domain with an impact of multiple disciplines like Mathematics, Statistics, Computer science, information science, Machine learning and Artificial intelligence.

The Data Science and its advancement is going to decide the future values of actuarial profession to a large extent. The Machine learning and Python trainings conducted by the Institute have lifted the confidence and value of many actuarial members who will be in the forefront of re-defining the role of actuaries in finance and risk management. Since Python is largely used in data science as a programming language, a 7.5 hours Python training is also included in this 70 hours training. Those who have already attended both Python and Machine learning webinar series recently conducted by the Institute may find this program as the next level of advanced learning.

Why Actuaries to learn Data Science?

The question as to how fast actuaries to catch up various disciplines of data science to be answered sooner than later for maintaining the unique space and role of actuaries in the market. An actuary with specialisation in data science to remain as an actuary for future;

Program schedule:

Webinars will start on 02 January 2023 which will be spread over 35 sessions of 2 hours each duration. Participants are expected to work on assignments on a regular basis to maintain the continuity of learning and practice.

The program schedule is available in ANNEXURE-I

Recorded videos of all webinars will be made available in the member’s login page until 30 April 2023. However, it is highly recommended to attend all LIVE sessions without fail for optimum learning out of the program.

Registration:

Fee for Students Rupees Six thousand (₹6,000.00) (18% GST extra)
Fee for Associate & Fellow members Rupees Eight thousand (₹8,000.00) (18% GST extra)
For Non-members Rupees Ten thousand (₹10,000.00) (18% GST extra)
Bulk registrations from Employers will be accepted with a minimum registration count of 25, where both members and non-members can together register with a lump sum payment of Rupees Two lakhs (₹200,000.00) only (18% GST extra)
Registration menu Login to IAI >>Training program>>Data Science
Registration opens on On 11 November 2022 6.00PM.
Registration closes on On 30 December 2022 6.00PM.
Member Registration
Non Member Registration

Faculty

Mr. Vamsidhar Ambatipudi, PGDM (IIMI), FIAI, CERA, FRM, PRM, Associate Professor, BITS Pilani

Coverages :

  • Python
  • Machine Learning
  • Data Visualization
  • Pandas
  • Introduction to Deep Learning
  • Predictive Modelling
  • Math and Stat Principles
  • Time Series Analysis
  • Data Analysis
  • Solutions to Business Problems
  • Introduction to Natural Language processing

Contact :

Point of contact for all related queries: Mr. Ravindra Mastekar at: 022 62433348 or ravindra@actuariesindia.org

Program Schedule

2nd January 2023 to 9th March 2023, Time 7.00pm to 9.00 pm

DATA SCIENCE : Program Schedule

Sr.No

Date

Days

Time

Topic

1

02-01-2023

Monday

7.00 pm to 9.00 pm

Introduction to Data Science and Python

2

04-01-2023

Wednesday

7.00 pm to 9.00 pm

Numpy Basic

3

06-01-2023

Friday

7.00 pm to 9.00 pm

Numpy advanced

4

09-01-2023

Monday

7.00 pm to 9.00 pm

Pandas for data manipulation

5

11-01-2023

Wednesday

7.00 pm to 9.00 pm

Essential Math for Data Science

6

13-01-2023

Friday

7.00 pm to 9.00 pm

Data visualization using Matplotlib and Seaborn

7

16-01-2023

Monday

7.00 pm to 9.00 pm

Descriptive Statistics

8

18-01-2023

Wednesday

7.00 pm to 9.00 pm

Inferential Statistics

9

20-01-2023

Friday

7.00 pm to 9.00 pm

Introduction to Machine Learning with essential terminology

10

21-01-2023

Saturday

7.00 pm to 9.00 pm

Linear Regression

11

23-01-2023

Monday

7.00 pm to 9.00 pm

Exploratory Data Analysis

12

25-01-2023

Wednesday

7.00 pm to 9.00 pm

Data Cleaning

13

27-01-2023

Friday

7.00 pm to 9.00 pm

Data Preprocessing

14

28-01-2023

Saturday

7.00 pm to 9.00 pm

Advanced Linear Regression

15

30-01-2023

Monday

7.00 pm to 9.00 pm

Feature Engineering

16

01-02-2023

Wednesday

7.00 pm to 9.00 pm

Feature Selection

17

03-02-2023

Friday

7.00 pm to 9.00 pm

Logistic Regression

18

06-02-2023

Monday

7.00 pm to 9.00 pm

Naive Bayes and KNN

19

08-02-2023

Wednesday

7.00 pm to 9.00 pm

Decision Trees

20

10-02-2023

Friday

7.00 pm to 9.00 pm

Ensembling and Random Forests

21

11-02-2023

Saturday

7.00 pm to 9.00 pm

Gradient Boosting

22

13-02-2023

Monday

7.00 pm to 9.00 pm

Challenges in ML

23

15-02-2023

Wednesday

7.00 pm to 9.00 pm

Clustering

24

17-02-2023

Friday

7.00 pm to 9.00 pm

Dimension Reduction

25

18-02-2023

Saturday

7.00 pm to 9.00 pm

Time Series 1

26

20-02-2023

Monday

7.00 pm to 9.00 pm

Time Series 2

27

22-02-2023

Wednesday

7.00 pm to 9.00 pm

Natural Language Processing 1

28

24-02-2023

Friday

7.00 pm to 9.00 pm

Natural Language Processing 2

29

25-02-2023

Saturday

7.00 pm to 9.00 pm

Introduction to recommender systems

30

27-02-2023

Monday

7.00 pm to 9.00 pm

Support Vector Machines

31

01-03-2023

Wednesday

7.00 pm to 9.00 pm

Artificial Neural Networks

32

03-03-2023

Friday

7.00 pm to 9.00 pm

Introduction to Deep Learning 1

33

04-03-2023

Saturday

7.00 pm to 9.00 pm

Web scraping

34

07-03-2023

Monday

7.00 pm to 9.00 pm

Working with Databases

35

09-03-2023

Wednesday

7.00 pm to 9.00 pm

Data Science Ethics and way forward

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