Data-Driven Investing with Python | Financial Data Science

Course Overview

• Course Title: Data-Driven Investing with Python | Financial Data Science
• Instructor: Fervent #LearnWithDistinction
• Target Audience:
  • Individuals with basic coding knowledge in Python
  • Those interested in financial data science and quantitative finance
  • Beginners in finance or investing
• Prerequisites:
  • Basic coding knowledge in Python
  • No prior finance or investing knowledge required
  • Basic statistical analysis knowledge is useful but not essential
  • Knowledge of basic mathematical concepts

Curriculum Highlights

• Key Topics Covered:
  • Investment Analysis Fundamentals
  • Data Driven Investing and Hypothesis Design
  • Source, Clean, and Explore Real-World Data
  • Conduct Exploratory Data Analysis
  • Design and Construct Investment Portfolios
  • Statistically Test and Validate Hypotheses
• Key Skills Learned:
  • Remove guesswork from investing using Python
  • Apply Financial Data Science techniques
  • Quantify risk and returns of investments
  • Conduct Exploratory Data Analysis on Python
  • Design and construct investment portfolios
  • Statistically test and validate investment ideas

Course Format

• Duration: 13.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 1 practice test
  • Assignments
  • 14 articles
  • 110 downloadable resources
  • Access on mobile and TV
  • Certificate of completion