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How to Data (Joshiverse- Journey of a Budding Data Scientist)
Joshua Matthew
25 episodes
6 days ago
Discovering the intricacies of becoming a data scientist and sharing exploratory perspectives on data science concepts. Bringing experts in the Data Space to talk about relevant topics drawing from their wealth of knowledge and experience.
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How To
Education
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All content for How to Data (Joshiverse- Journey of a Budding Data Scientist) is the property of Joshua Matthew and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Discovering the intricacies of becoming a data scientist and sharing exploratory perspectives on data science concepts. Bringing experts in the Data Space to talk about relevant topics drawing from their wealth of knowledge and experience.
Show more...
How To
Education
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How to do Data Analytics the right way- Part 1 (How to Data Ep1)
How to Data (Joshiverse- Journey of a Budding Data Scientist)
51 minutes 40 seconds
2 years ago
How to do Data Analytics the right way- Part 1 (How to Data Ep1)

Data Analytics - How to Do it Right

In this first part of the discussion, Hamid Abdulsalam, a Data Scientist with Factual Analytics shared critical insights into how to get started as a Data Analyst.

Bringing over 8 years of experience as a Data Scientist and Statistician, he demystified the best strategy for gaining and retaining proficiency in Data Analysis.

We looked into the common misconceptions around Data Analysis and expatiated on the primary focus areas for rapid career growth in the Data Space.


Links mentioned by Hamid (https://www.linkedin.com/in/bigbirdhamid/) --

for publishing data content;

  • rpubs.com
  • rblogger.com (for R)
  • kdnuggets.com
  • Kaggle.com
  • medium.com

for learning data science concepts; https://towardsdatascience.com


Join us on this ride to discovery!

How to Data (Joshiverse- Journey of a Budding Data Scientist)
Discovering the intricacies of becoming a data scientist and sharing exploratory perspectives on data science concepts. Bringing experts in the Data Space to talk about relevant topics drawing from their wealth of knowledge and experience.