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"Either write something worth reading or do something worth writing." - Benjamin Franklin
The best way to learn any concept, especially in data science, is by writing about it. That not only helps you understand what you learned in more detail, but sharing it with the community helps others understand how a particular data science idea works.
But here’s the thing - most people want to write, but just can’t get past the initial challenges. This might sound familiar to a lot of people:
Come join us on 22nd April where we engage with Parul Pandey, an expert in writing data science articles and an evangelist in this field, as she shares her experiences, tips, and some tricks to help you leverage writing to improve your data science profile!
Parul Pandey
Data Scientist/Evangelist, H2O.ai
Parul is currently working as a Data Scientist/Evangelist at H2O.ai, the creator of the leading open-source machine learning and artificial intelligence platform. She is also a Kaggle Grandmaster (Notebooks). Parul is a leading voice in the machine learning field and her articles, tutorials and her journey has served as an inspiration for many.
Pranav Dar
Senior Content Strategist & Lead Trainer - BA, Analytics Vidhya
Pranav is a Data Scientist and Senior Content Strategist for Analytics Vidhya. He has experience in data visualization and data science. Pranav has previously worked for a number of years in the learning and development field for a globally-known MNC.
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