Online Course – Certified Professional Internship in Investment Management with Python and Machine Learning from EDHEC Business School

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קורס אונליין - התמחות מקצועית מוסמכת בניהול השקעות עם Python ולמידת מכונה של EDHEC Business School

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Investment Manager
  • Machine Learning Expert
  • Investment algorithm developer
  • Technology Investment Advisor
  • Data Science Researcher
  • Investment Performance Analyst
  • Project Manager in the field of property management

Internship – 4-part course series

introduction

The Data Science and Machine Learning for Asset Management specialization is designed to offer a broad and comprehensive introduction to modern methods in investment management, with a particular emphasis on the use of data science and machine learning techniques to improve investment decisions.

Internship goals

  • Acquire tools to make informed investment decisions.
  • Understand the basic theory and guiding concepts.
  • Apply knowledge in a practical way.

Practical applications

Rather than just explaining the science, we help you build on this foundation in a practical way, with an emphasis on putting these ideas into practice in the Python programming language, through a series of unique lab sessions.

Details of the courses that make up the specialization

Introduction to Portfolio Building and Analysis with Python

  • Course 1 • 25 hours • 4.8 (1,394 ratings)

Course Details

What you’ll learn
  • Intuitively understand the theory behind modern portfolio construction techniques
  • Write customized code in Python to estimate risk and return parameters
  • Use Python’s powerful optimization libraries to build a diverse portfolio in a scientific and orderly manner
  • Build custom tools in Python to test and compare portfolio strategies

Advanced Portfolio Building and Analysis with Python

  • Course 2 • 12 hours • 4.7 (498 ratings)

Course Details

What you’ll learn
  • Analyze style and portfolio factor exposure
  • Apply stability estimates to the variance matrix
  • Apply Black-Litterman portfolio construction analysis
  • Implement a variety of stable models for building a portfolio

Python and Machine Learning for Asset Management

  • Course 3 • 16 hours • 3.1 (325 ratings)

Course Details

What you’ll learn
  • Learn the principles of supervised and unsupervised machine learning techniques on financial datasets
  • Understand the basics of logistic regression and machine learning algorithms to sort variables into one of two outcomes
  • Use Python’s powerful libraries to implement machine learning algorithms in case studies
  • Learn about factor models and regime change models and their use in investment management

Skills you have acquired

  • Category: Computer Science
  • Category: Investment Management Knowledge
  • Category: Data Science Expertise
  • Category: Programming Skills
  • Category: Personal Investment Management

Python and Machine Learning for Asset Management with Alternative Datasets

  • Course 4 • 20 hours • 4.4 (229 ratings)

Course Details

What you’ll learn
  • Learn what alternative data is and how it is used in financial market applications
  • Be exposed to current, cutting-edge research in the field of alternative data
  • Perform data analysis on real-world alternative data systems using Python
  • Gain understanding and practical experience in data analysis, data visualization, and quantitative models designed for alternative data in finance

Skills you have acquired

  • Category: Advanced Data Visualization
  • Category: Alternative Consumption-Based Data Foundations
  • Category: Text Analysis Methodologies
  • Category: Web Scripting Tools

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