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Financial Analytics
Workshop Details
Language
English
Date
6th June, 2024
Time
1800 to 2030 (GMT+7)
Medium
Zoom Conferencing (Online)
Bundled Learning Experience
Practical, hands-on introduction to financial analytics featuring Python, R and API programming. Suitable for beginners and anyone with an interest in the financial market.
Whether you are a hobby programmer, or looking to wet your feet in the field of data analytics, or if you’re even a little curious as to how stock analysts and investors apply programming to their professional work, this workshop serves as a great introduction to the intersection of programming, analytics and the financial market.
Add $5 for Workshop + Practicum
For an extra $5, you can upgrade your participation to the Workshop + Practicum tier (optional). Here's the offer:
- $9 workshop admission included
- $98 worth of Sectors API subscription included
- $39 worth of Supertype Fellowship+ included (peer to peer learning group, mentorship, post-workshop implementation support)
After the workshop, all Practicum members are invited to join the Supertype Fellowship, where you can continue building your financial analytics dashboard, access live financial data, and collaborate with other community members using the free API credits provided to you. Whether you're new to working with live financial data, looking to enhance your financial analysis skills, or simply curious about creating interactive dashboards with a low-code approach, this workshop is designed for you.
Follow along the last 1 hour of the workshop as a Workshop + Practicum member to earn a certificate of completion. We issue this certificate of completion as proof of demonstrable proficiency, with a difficulty level suited for non-programmers. You will be asked to submit your dashboard, and a mentor will assess it and award a certificate as acknowledgment of your competency.
Your Instructors
Aurellia Christie
Enterprise Consulting Lead
Vincentius C. Calvin
AI Infrastructure Lead
Gerald Bryan
Data Science Consulting Lead
Samuel Chan
Supertype Incubator Lead
Active, Hands-on Learning
Big on Details
Financial Analytics is our attempt at methodically breaking down the "science" of stock market research, and showing the audience how professionals use data, analytics, and programming to make better investment decisions. It is as hands-on as you want it to be, with a focus on practical programming skills applied to live financial data from the Indonesian stock market.
We are big on details.
Plenty of Code Examples
This isn't a high level, 30,000-foot view seminar that skim the surface. We dive into the specifics, the implementation details, and unravel the technical process behind financial analytics: from data collection, data cleaning, exploratory data analysis, to teasing out macroeconomic indicators, financial health metrics, and finding insightful patterns in the data.
The trainer will demonstrate plenty of code examples in R and Python, and you will be able to follow along on your own laptop.
Syllabus
Financial analytics fundamentals
A primer on the stock market, financial data, and the role of analytics in investment research.
Investing Strategies
An overview of different investing strategies (with a focus on Value Investing and Dividend Growth Investing), and how to use data and analytics to inform your investment decisions.
Macroeconomic Indicators
Understanding the impact of macroeconomic indicators on the stock market, and code-along sessions to demonstrate the ease of sectoral research using actual economic data.
Financial Health Metrics
Understanding the financial health of a company through its financial statements, and code-along sessions to demonstrate the ease of financial statement analysis using actual financial data.
Developing Financial Analytics
A practical and action-packed session showing you the common pitfalls in financial analytics, common data preparation routines for financial data analysis, and best practices in analytics development.
Build a FinTech App (Python)
A hands-on session where you will build a simple financial analytics app in Python, using real-time financial data from the Indonesian stock market.
Animated Financial Stories with ggAnimate in R
A fun and interactive session where you will learn how to create animated financial stories using ggAnimate in R, and how to engage in rich, data-driven storytelling.
Automated Competitor Analysis
A peek into the workhorse of Sectors.app and how we combine data engineering, data analytics, Large Language Models (LLMs), software engineering, effective database management and cloud computing to deliver a high-performance financial API platform for the Indonesian stock market.
