logo
  • Courses
      • Tools
      • Python
      • R
      • SQL
      • Excel
      • Tableau
      • Power BI
      • All Tools
      • Techniques
      • Artificial Intelligence
      • Data Visualization
      • Machine Learning
      • Natural Language Processing
      • Time Series Analysis
      • All Techniques
      • Online Learning
      • Coursera
      • DataCamp
      • DataKwery
      • EdX
      • FutureLearn
      • Udacity
      • All Learning Sources
      • Education Programs
      • Bootcamps
      • Certificates
      • Certifications
      • Executive Education
      • Graduate Degrees

      • Universities
      • Harvard
      • Stanford
      • MIT
      • Johns Hopkins
      • Georgia Tech
      • All Universities
      • Business Schools
      • Wharton
      • MIT Sloan
      • Darden School of Business
      • All Business Schools
      • Companies
      • Amazon
      • Google
      • IBM
      • Meta
      • Microsoft
      • All Companies
      • Other Data Resources
      • Online Textbooks
      • Cheatsheets
      • Learning Paths
      • Instructors
      • YouTube Videos
  • Careers
      • Data Career Tracks
      • Business Analyst
      • Chief Data Officer
      • Data Analyst
      • Data Architect
      • Data Engineer
      • Data Scientist
      • All Career Tracks
      • Industry Applications
      • Finance
      • Healthcare
      • Human Resources
      • Marketing
      • Sports
      • All Industries
  • Search
  • Login
  1. Home
  2. Learning Paths

Data Science for Investment Professionals Learning Path

Data Science for Investment Professionals is a Specialization designed by Coursera. It consists of three courses and can be completed in five months with 3 hours of learning content .

Start Learning

Description

This Specialization is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process.

Through the three courses, you will learn techniques for presenting data and importance of the “data story”, produce data visualizations using Python, assess and apply probability concepts to investing scenarios, compare simple time-series models and understand their limitations, discover how machine learning applications can address investment problems, and understand how to apply the CFA Institute Ethical Decision-Making Framework to machine learning dilemmas.

All that you learn in this Specialization will give you the knowledge and confidence to explain clearly and “translate” machine learning concepts and their application to real-world investment problems to a non-expert audience and clients.

Free Learning Paths by Career Track

Bootstrap Data ScientistBootstrap Data AnalystBootstrap Business AnalystBootstrap Data EngineerBootstrap Chief Data OfficerBootstrap Data Architect

Included Courses

Codecademy
CFA Institute
1. Data and Statistics Foundation for Investment Professionals
Neil Govier

21 hours

Beginner

1,581
Python
Coursera
CFA Institute
2. Statistics for Machine Learning for Investment Professionals
Shreenivas Kunte

18 hours

Beginner
Python
Coursera
CFA Institute
3. Machine Learning for Investment Professionals
Anastasia Diakaki

17 hours

Beginner
logo
twitteryoutubelinkedin
Change Site Language
English
Español
简体中文
About
ContactAboutPrivacy
Learn Data Skills
ToolsTechniques
Select Learning Source
UniversitiesBusiness SchoolsCompaniesInstructorsAll Sources
Choose Learning Preference
BootcampsCheatsheetsCertificatesCertificationsExecutive EducationGraduate DegreesLearning PathsOnline TextbooksYouTube Videos
Explore Career Tracks
Business AnalystChief Data OfficerData AnalystData ScientistData EngineerData Architect
See Industry Examples
CustomerEnvironmentalFinanceHealthcareHuman ResourcesMarketingReal EstateSalesSportsWeb
Subscribe for Updates
© 2021-2026 DataKwery