About this Course

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Beginner Level

Background in investment products and firms

Approx. 18 hours to complete
English

What you will learn

  • Understand the importance of information patterns and the concept of causality in decision making models

  • Assess and apply probability concepts to real-world investing scenarios

  • Describe and use linear and logistic regression modeling for investment decision making

  • Compare simple time-series models and understand their limitations

Skills you will gain

  • Data Science
  • Logistic Regression Modeling
  • Linear Regression Modeling
  • Python Programming
  • Statistical Concepts
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Beginner Level

Background in investment products and firms

Approx. 18 hours to complete
English

Offered by

Placeholder

CFA Institute

Syllabus - What you will learn from this course

Week
1
Week 1
24 minutes to complete

Welcome to Statistics for Machine Learning for Investment Professionals

24 minutes to complete
1 video (Total 4 min), 1 reading
2 hours to complete

Data and Patterns

2 hours to complete
5 videos (Total 35 min), 2 readings, 3 quizzes
Week
2
Week 2
2 hours to complete

Randomness and Probability

2 hours to complete
6 videos (Total 52 min), 2 readings, 3 quizzes
Week
3
Week 3
6 hours to complete

Linear Regression

6 hours to complete
15 videos (Total 113 min), 2 readings, 12 quizzes
Week
4
Week 4
5 hours to complete

Advanced Regression Concepts

5 hours to complete
10 videos (Total 70 min), 2 readings, 10 quizzes

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About the Data Science for Investment Professionals Specialization

Data Science for Investment Professionals

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