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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