Introduction to Python for Quantitative finance and investing

From 399.65 CNY /h

Python is one of the most powerful programming/scripting tools of our times. However, learning from textbooks or online can become time consuming and inefficient, since we easily lose focus. In this class, we learn by doing. As you learn new techniques and concepts, you will immediately use them to build tools that will help you become a data-driven and informed investor or trader. At the end of the class, you are left with a basic understanding of what python can do, but also with a template code that you can later use to build you own strategies on top.

The class in a nutshell:

(1) How to extract market data with python, such as: OHLC quotes, volume, dividend history, financial history etc.
(2) How to store and handle data efficiently.
(3) How to build and group your own portfolio based on any custom metric (e.g. P/E ratio, Debt/Equity ratio, dividend etc)
(4) How to build future paths of a stock in our portfolio, via Monte Carlo simulations, based on your own beliefs (e.g. optimistic/pessimistic).

Extra information

A laptop with a connection to the internet is required. The rest can be worked out.

Location

Online from Netherlands

About Me

I come from Greece, but I moved in the Netherlands more than five years ago where I studied and obtained my PhD in High Energy Astrophysics. Since then, I have been working as a quantitative analyst for a big bank in the Netherlands. I have ample experience in building algorithms and quantitative tools for trading and investing using python. My main focus is derivative (option) trading and valuation, but that is a long discussion.The environment in my classes is very friendly and not formal at all, and I always welcome a nice conversation about the financial markets, philosophy or life in general.

Education

BSc, Physics ( Aristotle University of Thessaloniki, Greece)
MSc, Computational Physics ( Aristotle University of Thessaloniki, Greece)
PhD, Computational Astrophysics (University of Groningen & University of Southampton)

Experience / Qualifications

Blockchain application developer ( IT ), Groningen, the Netherlands
Quantitative analyst ( IT, Banking) , Utrecht, the Netherlands

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

60 minutes

The class is taught in

English

Greek

Skills

Finance

Investing

Python

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

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Basic game development (with Pygame)

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Object-Oriented Programming (OOP) – Classes & Objects
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Mini-capstone project to showcase skills

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Introduction to Python and environment setup
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Types of loops and loop control
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Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
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Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets

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Hello, My name is Ahmed & I'm working as a TA in Ain Shams University.
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