Virtual Course on
Enhancing Investment Management with Python and Machine Learning
Duration : 10 + Virtual Hours
Frequency : 1 session per week – 4 Topics covered in 5 weeks
Please note that a Certificate of Participation will be awarded only to participants who attend a minimum of 80% of each session
Course Overview
This course offers a practical introduction to data science tools and techniques, empowering professionals to explore Python programming, statistical analysis, machine learning, and portfolio optimization. Designed for those keen to apply analytics in real-world scenarios, it blends technical insight with hands-on learning for impactful decision-making.
Course Outline
- Basic understanding of using python for analytics
- Refreshment and practical application of statistics
- Practical portfolio optimization in python
- Understanding and implementing basic machine learning in python
Course Schedule
| Date | Time | Session | Trainer | |
|---|---|---|---|---|
| 1 | Wednesday, July 16, 2025 | 4.00pm - 6.00pm | Basic understanding of using Python for analytics, Part 1 |
Devminda Abeynayake, |
| 2 | Wednesday, July 23, 2025 | 4.00pm - 6.00pm | Basic understanding of using Python for analytics, Part 2 |
Sanjeth Srikathirkamanathan,
Assistant Director, Acuity Knowledge Partners
BSc (Hons) Industrial Statistics |
| 3 | Wednesday, July 30, 2025 | 4.00pm - 7.00pm | Refreshment and practical application of statistics |
Mihidini Maha Arachchi, Anjana Jayasinghe, |
| 4 | Wednesday, August 6, 2025 | 4.00pm - 6.00pm | Practical portfolio optimization in Python |
Samujitha Senaratne, Lakni Kodituwakku, |
| 5 | Wednesday, August 13, 2025 | 4.00pm - 6.00pm | Understanding and implementing basic ML |
Flora Muthukumarasamy, Ruwinda Rowel, |
Key Benefits to
Individuals
- Gain hands-on experience with Python and machine learning for financial applications.
- Strengthen analytical thinking and data-driven decision-making skills.
- Enhance career prospects with practical tools aligned to industry trends.
Key Benefits to the Organization
- Develop in-house expertise to support advanced investment analysis and portfolio optimization.
- Enable teams to make faster, more informed investment decisions.
- Support digital transformation and innovation in investment management practices.
Target Audience
This course is designed for:
- Financial Analyst
- Investment research analysts
- Portfolio Managers
- Risk Analysts
- Corporate Finance and Treasury Professionals
- CFA Candidates
- Undergraduates in Finance and Economics
- Anyone who is interested.
Trainers
BSc(Hons) Industrial Statistics, BA (Hons) International Business and Finance
BSc (Hons) Industrial Statistics
MSc (Business Analytics), BSc (Hons) Industrial Statistics
BSc (Hons) Industrial Statistics, CIMA Dip MA
BSc (Hons) Industrial Statistics
BSc (Hons) Industrial Statistics
MSc (Business Analytics), BSc (Hons) Applied Statistics
BSc (Hons) in Industrial Statistics, CIMA Dip MA
- Date: Wednesday, 16th July 2025
- Time: 4.00 pm to 6.00 pm
Register before – 15th of July 2025
Registrations are on a first-come-first-served basis and limited
Participant fee
- CFA Charterholders and CFA Society Candidate Council Members – Rs. 15,000
- Other/ Non-members – Rs. 20,000
To Join:
If an invoice is not required, follow the process below
Step 1 : Register Here
Step 2:
Make the payment to the following bank account (Direct Deposit / Fund Transfer) :
- Bank : HNB
- Account Title : CFA SOCIETY SRI LANKA
- Account No : 701010017612
- Swift Code : HBLILKLX
- Bank Code : 7083
- Branch Code : 701 ( Nawam Mawatha )
Step 3:
After making the payment, please email your payment receipt or confirmation to – minura@srilanka.cfasociety.org with your name and the company name (Please note that these details mentioned in the email need to match exactly with registration details.)
- CFA Charterholders and Candidate Council Members : Rs. 12,000
- Non-Members : Rs. 18,000
If an invoice is required, follow the process below
Step 1 : Register Here
(If there are more than 1 participant to register, please register them one by one)
Step 2:
Request an invoice by mentioning details of the participant / participants via minura@srilanka.cfasociety.org (Please note that these details mentioned in the email need to match with registered details.)
Step 3:
Following the invoice shared, Make the payment to the following bank account (Direct Deposit / Fund Transfer):
- Bank : HNB
- Account Title : CFA SOCIETY SRI LANKA
- Account No : 701010017612
- Swift Code : HBLILKLX
- Bank Code : 7083
- Branch Code : 701 ( Nawam Mawatha )
Step 4:
After making the payment, please email your payment receipt or confirmation to – minura@srilanka.cfasociety.org
Missed the program? Click on the button below to download a softcopy of the presentation slides,
Minura Senadeera at 0742661283 | minura@srilanka.cfasociety.org