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Data Queries
data queries
7 episodes
2 days ago
We discuss everything about a career in data science, with individuals from unorthodox backgrounds about their journey into becoming a data science. The gap between academia and data science and how to prepare yourself to make that career transition from your current role into a Data science, must know frameworks and tools, debunking complex statically and machine learning concepts into everyday life examples to make data science less of a theoretical concept but more like your favorite movie.
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Technology
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We discuss everything about a career in data science, with individuals from unorthodox backgrounds about their journey into becoming a data science. The gap between academia and data science and how to prepare yourself to make that career transition from your current role into a Data science, must know frameworks and tools, debunking complex statically and machine learning concepts into everyday life examples to make data science less of a theoretical concept but more like your favorite movie.
Show more...
Technology
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Intro
Data Queries
28 minutes 45 seconds
2 years ago
Intro

Ama and William the hosts of the Data Queries podcast share their experience of transitioning into data science from a finance background and moving to the United Kingdom. They talk about their challenges and some useful tips which others can use to ease their learning.

Every week they would be bringing industry practitioners to share their stories, challenges and tips to succeed in your career as a data scientist. 


Additional materials:

https://pydata.org/london2022/

https://gh.pycon.org/

https://docs.openvino.ai/latest/index.html

https://www.linkedin.com/in/william-danso/

https://www.linkedin.com/in/amaboh-achu-ngu-23333a9a/

Data Queries
We discuss everything about a career in data science, with individuals from unorthodox backgrounds about their journey into becoming a data science. The gap between academia and data science and how to prepare yourself to make that career transition from your current role into a Data science, must know frameworks and tools, debunking complex statically and machine learning concepts into everyday life examples to make data science less of a theoretical concept but more like your favorite movie.