About this Specialization
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.
From | CFA Institute via Coursera |
---|---|
Hours | 91 |
Instructors | Anastasia Diakaki, Shreenivas Kunte, CFA, CIPM, Neil Govier, CFA |
Language | English |
Subjects | Data Science Business Programming Mathematics |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Courses in this Specialization
Listed in the order in which they should be taken
Starts | Course Information | |
---|---|---|
Jun |
Data and Statistics Foundation for Investment Professionals Aimed at investment professionals or those with investment industry knowledge, this course offers an introduction to the basic data and statistical techniques that underpin data... Coursera | CFA Institute |
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Jun |
Statistics for Machine Learning for Investment Professionals One of the biggest changes in the past decade is the rapid adoption of machine learning, AI, and big data in investment decision making. This course introduces learners with... Coursera | CFA Institute |
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Jun |
Machine Learning for Investment Professionals This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of... Coursera | CFA Institute |
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|
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From | CFA Institute via Coursera |
---|---|
Hours | 91 |
Instructors | Anastasia Diakaki, Shreenivas Kunte, CFA, CIPM, Neil Govier, CFA |
Language | English |
Subjects | Data Science Business Programming Mathematics |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
Research Scientist-Machine Learning $55k
Cloud Architect - Azure / Machine Learning $75k
Watson Machine Learning Engineer $81k
Machine Learning Software Developer $103k
Software Engineer (Machine Learning) $116k
Applied Scientist, Machine Learning $130k
Autonomy and Machine Learning Solutions Architect $131k
Applied Scientist - Machine Learning -... $136k
RESEARCH SCIENTIST (MACHINE LEARNING) $147k
Machine Learning Engineer 2 $161k
Machine Learning Scientist Manager $170k
Machine Learning Scientist, Personalization $213k
Similar Courses
Sorted by relevance