- Data Science
- Machine Learning
- Python Programming
- General Statistics
- Statistical Hypothesis Testing
- Logistic Regression Modeling
- Linear Regression Modeling
- Statistical Concepts
Data Science for Investment Professionals Specialization
Harness the Power of Data and Machine Learning. Learn how to confidently act as the “translator” between your investment management team and data scientists to communicate complex data science concepts clearly to clients.
What you will learn
Describe and evaluate the statistical methods that underpin Machine Learning techniques
Select appropriate data visualizations and create simple visualizations using Python
Describe how Machine Learning applications can address real-world investment problems
Explain machine learning concepts and techniques to a non-expert audience
Skills you will gain
About this Specialization
Applied Learning Project
In the courses, learners will use Python to practice calculating measures of central tendency, calculating measures of dispersion, and creating data visualizations as well as see the application of Python in linear regressions and advanced regression concepts. Learners will also practice their communication skills and showcase their creativity in several peer review assignments.
How the Specialization Works
A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.
Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.
Earn a Certificate
When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.
There are 3 Courses in this Specialization
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