Course Access:
90-day course access from date of purchase
Time:
On-demand, Self-study
Instructor:
Sri Krishnamurthy, CFA, CAP
Founder & CEO, QuantUniversity
Length/Duration:
3 Modules, 2.5 hours per module
| About This Course |
|
|
Over the three modules, learn key concepts needed to write and understand Python. Rather than bogging you with all the syntactical details, we focus on the key elements and packages giving you just enough orientation to start your Data Science journey in Python. Using QuAcademy and Jupyter notebooks, we discuss the key elements of Python and discuss how to write applications working with datasets.
All classes are pre-recorded and interactive with videos, slides, demos and fully functional code.
This course serves as an optional pre-requisite for the popular self-study course, Machine Learning and AI for Financial Professionals.
This course is a part of the QuantUniversity Machine Learning and AI Risk Certificate Program.
Take advantage of additional discounts by enrolling in the Certificate program.
|
| Outline |
| Lesson |
|
Topic |
| Module 1 |
|
The Basics: Introduction to Python
- Exploring and Visualizing large datasets
- Working with Jupyter notebooks
- Numbers and Strings
- Conditional Statements
- Lists, Sorting, Dictionaries
- Functions
- Demos & Case studies
- Exercises
|
| Module 2 |
|
Data Science Packages: Popular Packages in Python
- Working with Data - Using pandas
- Analyzing Data - Using numpy, scipy, scikit-learn
- Visualizing Data using matplotlib, seaborn, plotly
- Demos & Case studies
|
| Module 3 |
|
Case Studies in Finance
- Case study 1: Dimension reduction and visualizing stock data
- Case study 2: Visualizing & Analyzing Stock portfolios
- Case study 3: Build a Credit Risk Calculator using Lending Club data
|
| Who Should Attend |
|
This course is designed for anyone interested in learning Python or looking for a refresher course.
|
| About Our Expert |
|
|
|
 |
|
Sri Krishnamurthy, CFA, CAP is the founder of QuantUniversity, a data and quantitative analysis company. His experience includes analytics, quantitative analysis, statistical modeling and software development. He is a quantitative specialist with significant experience in designing data mining and analytic systems for some of the world’s largest asset management and financial companies.
Sri has worked at MathWorks as a Computational Finance Consultant where he worked with customers providing asset management, energy analytics, risk management and trading solutions. Prior to that, Sri was a consultant at Endeca (now Oracle) in their Analytics Group and at Citigroup in their Fixed-Income Group building large-scale analytical and trading systems.
Sri is a Charted Financial Analyst and a Certified Analytics Professional. He is an active member of the Boston Security Analysts society and QWAFAFEW. He is the creator of the Fintech Certificate Program & Analytics Certificate Program and teaches graduate courses in Quantitative methods, Data science and Analytics and Big Data at Babson College, Northeastern University and Hult International Business School.
|
| Continued Risk Learning Credits: 7.5 |
PRMIA Continued Risk Learning (CRL) programs provide you with the opportunity to formally recognize your professional development, documenting your evolution as a risk professional. Employers can see that you are not static, making you a highly valued, dynamic, and desirable employee. The CRL program is open to all Contributing, Sustaining, and Risk Leader members, providing a convenient and easily accessible way to submit, manage, track and document your activities online through the PRMIA CRL Center. To request CRL credits, please email [email protected].
| Registration |
| Membership Type |
Price |
| |
|
| PRMIA Network - Use Promo Code: PRMIA100 to apply discount |
$ 599.00 |
| General Public |
$ 699.00 |
QuantUniversity Registration Policies
This course is being delivered by a PRMIA Training Partner, QuantUniversity. All registrations, payments, and course operations will be managed exclusively by QuantUniversity.
When registering for the course, you will leave PRMIA.org and use QuantUniversity's registration system, proprietary learning management system, and QuSandbox for labs.
Questions and requests should be directed to QuantUniversity at: [email protected].
Please review QuantUniversity's cancellation and refund policy at the time of purchase, as their policies supersede PRMIA's policies.
Need Support?
Contact our training partner for questions about the course, group registrations, and technical support at: [email protected]
Access
Immediate access to the course is granted for 90 days after your purchase.
If this is your first time accessing the PRMIA website you will need to create a short user profile to register. Save on registration by becoming a member.
Register Now