Optional
Math for Finance
with Ned Krastev
Master financial mathematics: apply key mathematical techniques for improved financial decision-making
3 hours of content
1
Quant Finance Analyst Career Track
Quantitative finance analyst roles require strong skills in mathematics, statistics, programming, and financial modeling. Acquire the knowledge and tools needed to analyze financial markets, build predictive models, and develop a career in quantitative finance.
10 Career Track Courses
48 Hours of Content
Certificate of Achievement
Quant Finance Analyst Career Track Courses
Education in quantitative finance requires a strong foundation in programming, statistics, and financial modeling. This career track helps you develop the skills needed for roles in investment analysis, risk modeling, and algorithmic trading.
Required
Introduction to Python
with Martin Ganchev
Learn to code in Python: the most popular and widely used programming language
2 hours of content
2
Required
Data Preprocessing with NumPy
with Viktor Mehandzhiyski
Master Python’s key NumPy package: Apply essential techniques for efficient data preprocessing and analysis
8 hours of content
3
Required
Econometrics I
with Professor Gerhard Kling
Learn Econometrics the Practical Way – Hands-On Python Skills for Real-World Data Analysis and Modeling
2 hours of content
4
Required
Time Series Analysis with Python
with Viktor Mehandzhiyski
Master time series forecasting in Python: Gain solid theoretical knowledge and work with popular time series models such as ARIMA, ARCH, and GARCH
7 hours of content
5
Required
Advanced Time Series Analysis with Python
with Egor Howell
Take your time series forecasting skills to the next level by learning how to apply advanced statistical methods, machine learning, and deep learning to real-world forecasting challenges using Python.
6 hours of content
6
Required
Advanced Machine Learning and AI Applications in Finance
with Professor Gerhard Kling
This course explores recent developments in machine learning and AI applied to financial time series, portfolio optimisation, and asset pricing.
3 hours of content
7
Required
Credit Risk Modeling in Python
with Nikolay Georgiev
Blend credit risk modeling skills with Python programming: Learn how to estimate a bank’s loan portfolio's expected loss
8 hours of content
8
Elective
Python for Finance
with Martin Ganchev and Ned Krastev
Blend investment analysis skills with Python programming: Master financial analysis using Python
6 hours of content
9
Elective
Data Cleaning and Preprocessing with pandas
with Martin Ganchev
Master Python’s quintessential pandas library and its core data structures – Series and DataFrame objects. Elevate your data analysis skills for real-world challenges
3 hours of content
10
Quant Finance Analyst Career Track
10 Courses