[PyData Mumbai] 2020 Meetup 1: Beginner Edition

Topic 1:
"Doing Data Science with non-data people"

Speaker: Saksham Agrawal, founder of Credible Informatics and an IITK-IIMA graduate with almost 15 years of data science experience

Description: Real data science happens when data people work with non-data teammates - sales managers, cxo's, product owners etc. To collaborate with other functions is a critical skill for data scientists.

Takeaways: How to be precise, how to simplify and how to be relevant while working on cross-functional projects.

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Topic 2:
"How To Build a Quantitative Trading Strategy with Python"

Speaker: Kannan Singaravelu, Quant Researcher & Derivatives Structurer

Description: The financial industry has moved from 'what you know to what you can code'. Tools like Python are increasingly being used to analyze the dynamics of markets. From ingestion of data to formulation of trading strategy to backtest, the tutorial will walk you through the quant workflow. This tutorial will brief you about how Python can be used in data wrangling and quantitative analysis. We will also discuss the quant workflow and steps to effective backtesting by using the real-world financial dataset to formulate and backtest a trading strategy.

Takeaways: By the end of this session, participants will have learned the quant workflow and a guide to effective backtesting; and to use Python for quantitative analysis.