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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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Meet Tambe a Data Analyst at Social Finance. Part 2
Data Queries
1 hour 7 minutes 18 seconds
2 years ago
Meet Tambe a Data Analyst at Social Finance. Part 2

In this episode, we continue our conversation with the Talented Tambe Tabitha who is a Data Analyst at Social Finance in their London-based office. For the first Part of this episode you can refer to the previous episode.

In this episode Tabitha shares her thoughts and insights on early careers tips and how to approach your career with humility and with a learners mindset. We also talk about technical tools and languages, the difficulties she faced trying to learn a new programming language for frontend development with deep experience as a backend developer building data tools, and how Javascript is a versatile tool. In was interesting to learn how Tabitha approaches new generative coding tools such as co-pilot and ChatGPT, and how to approach it as a learner. 

As always we had our controversial or contrarian thought question and Tabitha played it well being diplomatic. Acknowledgements to her parents for her career and exposure. 


Tabithat's recommended earning resources 

  • DataCamp : https://www.datacamp.com/
  • Udacity : https://www.udacity.com/
  • ALX: https://nanodegree.alxafrica.com/
  • CS50: https://www.youtube.com/@cs50

Tabithat's read book recommendation.

  • The Bible 
  • The Law of Success by Napoleon Hill
  • I'm ok your Ok by Thomas Harry 
  • Automate the boring stuff with pthon by  Al Swegart
  • Python Data Science Handbook by Jake VanderPlas 

    Bonus 

  • Python Cookbook by David Beazley & Brain K. Jones

     books to explore.

  • Deep Work by Cal Newport
  • Range by David Epstien

It was great time having Tabitha with us and the invaluable lesson that Tabitha shared with us, we hope would help you in your next career move . As always, thank you for joining us. Keep Querying on...!

Reach out to Tambe Tabitha

Tambe’s talk at PyData London: https://rb.gy/eey0hk

Twitter: https://twitter.com/TambeAchere

LinkedIn: https://www.linkedin.com/in/tambe-tabitha-achere/

Vacancies at Social Finance: https://www.socialfinance.org.uk/careers

Stream or Share on other platforms:

Spotify: https://rb.gy/eey0hk

Google Podcast: https://rb.gy/eey0hk

Apple podcast: https://rb.gy/h0mz3x

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.