Python for Data science
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This document provides an agenda for a Python for Data Science course. The course will be taught by Sri Krishnamurthy and will consist of two parts: Part 1 covers Python basics like Jupyter notebooks, data types, conditional statements, and functions through demos and exercises. Part 2 focuses on popular Python packages for working with, analyzing, and visualizing data using pandas, NumPy, SciPy, scikit-learn, Matplotlib, seaborn, and Plotly.
Python for Data science
- 1. Python for Data Science 1.0 Introduction 2020 Copyright QuantUniversity LLC. Presented By: Sri Krishnamurthy, CFA, CAP QuantUniversity Powered by:
- 2. 2 QuantUniversity • Analytics and Fintech Advisory • Trained more than 1000 students in Quantitative methods, Data Science and Big Data & Fintech • Programs ▫ Analytics Certificate Program ▫ Fintech Certification program • Building
- 3. • Founder of QuantUniversity LLC. • Advisory and Consultancy for Financial Analytics • Prior Experience at MathWorks, Citigroup and Endeca and 25+ financial services and energy customers. • Regular Columnist for the Wilmott Magazine • Author of forthcoming book “Financial Modeling: A case study approach” published by Wiley • Charted Financial Analyst and Certified Analytics Professional • Teaches Analytics in the Babson College and at Northeastern University, Boston Sri Krishnamurthy Founder and CEO 3
- 4. 4 Part 1: The Basics – Working with Jupyter notebooks – Numbers and Strings – Conditional Statements – Lists, Sorting, Dictionaries – Functions ▫ Demos & Case studies ▫ Hands-on Exercises Program Agenda Part 2: Popular Python Packages ▫ Working with Data – pandas ▫ Analyzing Data – numpy, scipy, scikit- learn ▫ Visualizing Data – Matplotlib, seaborn, plotly ▫ Demos & Case studies ▫ Hands-on Exercises
- 5. Thank you! Sri Krishnamurthy, CFA, CAP Founder and CEO QuantUniversity LLC. srikrishnamurthy www.QuantUniversity.com Contact Information, data and drawings embodied in this presentation are strictly a property of QuantUniversity LLC. and shall not be distributed or used in any other publication without the prior written consent of QuantUniversity LLC. 5