Just Enough Python For Data Science - Finance Edition

Understand the core Python constructs needed to build scalable data science and machine learning applications

	PRMIA Training Partner -- QuantUniversity		Instructor: Sri Krishnamurthy, CFA, CAP
	Delivery: Self-Directed featuring recorded lectures, Demos, Case studies + Labs		Duration: 3 Lessons \| 2.5 hours/lesson
	Prerequisites: None (This course is a prerequisite to the ML/AI course.)		Completion time: 6 months from date of purchase
	Standard Registration Fee: $399.00		Value Add: Register for ML & AI for Financial Professionals - get both courses for only $649. Use Discount code PRMIA100.
			Question/Need support? Our training partner is here to help [email protected]

PRMIA has partnered with QuantUniversity to offer this course this introductory course designed for financial professionals. Over the three modules, we will discuss key concepts needed to write and understand Python. Rather than bogging you with all the syntactical details, we will focus on the key elements and packages giving you just enough orientation to start your Data science journey in Python.

Using QuAcademy, our remote-learning platform and Jupyter notebooks, we will discuss the key elements of Python and discuss how to write applications working with datasets.

This course serves as an optional pre-requisite for the popular self-study course, Machine Learning and AI for Financial Professionals Course. Note: All classes are pre-recorded and interactive with videos, slides, demos and fully functional code.

Your Instructor: Sri Krishnamurthy, CFA, CAP

Sri is the founder of QuantUniversity, a data and quantitative analysis company. He has more than 15 years experience in 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 more than 25 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.He is a Charted Financial Analyst and a Certified Analytics Professional.

He is an active member of the Boston Security Analysts society and QWAFAFEW.

Sri 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.

Program Content

Module	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

Module

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

Registration Fee: $399.00

Value Add: Register for Machine Learning and AI for Financial Professionals
and save! Both courses for only $649. Use Discount code PRMIA100

Who should attend?

Anyone interested in learning Python or looking for a refresher course.

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 registration policies.

Need Support?

Contact our training partner for questions about the course, group registrations and technical support
[email protected]

Analytics for a cause initiative - Thank you QuantUniversity for supporting future risk leaders!

QuantUniversity is a proud sponsor and contributor to educational scholarships, valued at $30,000, to students from eight countries and 12 chapters, participating in the PRMIA Risk Management Challenge for 2020 and 2021! Learn more about this and other outreach supported by QuantUniversity.

PRMIA Network Fee: $399.00 | Value Add: Register for Machine Learning and AI for Financial Professionals and save! Both courses for only $649. Use Discount code PRMIA100