Return to flip book view

Just Enough Python for Data Science

Page 1

Explore Experience Excel JUST ENOUGH PYTHON FOR DATA SCIENCE FINANCE EDITION PRESENTED BY QUANTUNIVERSITY www quantuniversity com

Download File

Page 2

QUANTUNIVERSITY TABLE OF CONTENTS 01 02 03 04 05 06 07 08 09 About Course Python Sample Content Testimonials Faculty and Guest Speakers Course Overview Registration Information and Contact Details

Page 3

QUANTUNIVERSITY ABOUT QuantUniversity www quantuniversity com is a quantitative analytics and machine learning advisory based in Boston Massachusetts QuantUniversity runs various data science and machine learning workshops focused on the Financial Services Industry in various cities in PUBLIC North America and Europe and online through www qu academy The RELATIONS company offers an Analytics Certificate Program and the Fintech John D Rockefeller Don t be afraidin to give the good Certificate program along with multiple workshops itsup Exploreto go for the great Experience Excel series Contact us at info qusandbox com EXPLORE EXPERIENCE EXCEL Introductory courses Advanced thematic Guided Hands on geared towards courses geared towards project based professionals getting professionals who have experiential learning into Data science completed the Explore to emulate real world and Machine series or have scenarios Learning work academic experience 1

Page 4

JUST ENOUGH PYTHON FOR DATA SCIENCE FINANCE EDITION Dates On Demand Number of Sessions Duration per session 3 2 5 hours Delivery Online through www QuAcademy com with Video Demos Case studies Labs COURSE DETAILS This introductory course geared towards financial professionals 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 Qu Academy 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 a pre requisite for the upcoming Machine Learning and AI for Financial Professionals Course 2

Page 5

JUST ENOUGH PYTHON FOR DATA SCIENCE FINANCE EDITION Session 1 Session 2 MODULE 1 THE BASICS MODULE 2 DATA SCIENCE PACKAGES Introduction to Python Popular packages in Python Exploring and Visualizing large Working with Data Using pandas datasets Working with Jupyter notebooks Analyzing Data Using numpy scipy Numbers and Strings scikit learn Conditional Statements Visualizing Data using matplotlib Lists Sorting Dictionaries seaborn plotly Functions Demos Case studies Demos Case studies Exercises Session 3 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 da 3

Page 6

TESTIMONIALS Sri really went the extra mile to give participants an intuitive understanding to all the concepts and techniques covered this is seen in both the quality of the slides the Collab notebooks prepared and the video based delivery of the course lectures and case studies Sri is always very thoughtful about structuring courses and the delivery is always clear For instance the Machine Learning Workflow an excellent visual in my view was something he referenced regularly along the way illustrating in an effective manner how the different pieces fit together and also keeping us oriented as the course progressed I really loved the huge amount of videos examples and exercises provided in the course Furthermore I liked the accessibility of them The examples of applications of the around the clock so that I could concepts in the world of Finance adapt the learning to my working which is something which comes to schedule mind at first This is missing from other courses The concept of labs in this course are very good since it helps to start off with the coding of concepts 6

Page 7

FACULTY Sri Krishnamurthy CFA CAP is the founder of www QuantUniversity com a Data and Quantitative Analysis Company specializing in large scale Machine Learning and AI solutions Prior to starting QuantUniversity Sri has worked at Citigroup Endeca MathWorks and with more than 25 customers in the financial services and energy industries He has trained more than 10 000 students in quantitative methods analytics and big data in the industry and at Babson College Northeastern University and Hult International Business School Sri earned an MS in Computer Systems Engineering and another MS in Computer Science both from Northeastern University and an MBA with a focus on Investments from Babson College Sri serves on the steering committee of QWAFAFEW and is a reviewer of the Journal of Asset Management 7

Page 8

QUANTUNIVERSITY OTHER COURSE OFFERINGS DURATION 52 weeks COST Contact info qusandbox com for more information Machine Learning AI for Financial Professionals Certificate EXPLORE Machine Learning and AI in Finance Fundamentals 32 units 1 Just enough Python for Data Science 4 units 2 Quantitative and Statistical Methods for Data Science 4 units 3 Optimization Methods in Finance 4 units 4 Data Analytics with Tableau for Financial Professionals 8 units 5 Machine Learning and for Financial Professionals 8 units 6 Risk and Ethics in Machine Learning AI 4 units EXPERIENCE Advanced Machine Learning AI in Finance Tracks 12 units Machine Learning Modeling Specialization AI ML Risk Management Specialization Fintech Specialization Machine Learning in Asset Management 4 units Deep Learning Reinforcement Learning in Finance 4 units Anomaly Detection and Outlier Analysis 4 units Synthetic Data Generation 4 units Model Risk Management for AI ML Models 4 units AI Governance 4 units Explainability and Interpretability 4 Units Production ready Machine Learning 4 units Fintech the 8 Facets 8 units Business Models in Fintech 4 units EXCEL www quantuniversity com Capstone Project 8 units info qusandbox com 8

Page 9

REGISTRATION INFORMATION SCAN TO REGISTER https bit ly 2YyOCjF CONTACT US QuantUniversity quantUniversity quantuniversity Info qusandbox com 9