Panel: Begin a Career in Data Science | Data Science Roadmap | Future of Data and AI | Conference
In this AMA session, we will cover the essentials of starting a career in data science. We will discuss the key skills, resources, and strategies needed to break into data science and give advice on how to stand out from the competition. We will also cover the most common mistakes made when starting out in data science and how to avoid them. Finally, we will discuss potential job opportunities, the best ways to apply for them, and what to expect during the interview process.
About the Panelists:
Jimmy Nguyen: Senior Data Scientist at LinkedIn, former HR to Engineering transfer, transforme…
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Chapters (11)
Introduction
3:28
Do you need a specific degree to break into a data science career?
7:00
Transitioning to a career in data science
9:50
Use of data science skills in multiple industries
12:28
Will it be hard to find a data science job with the ongoing tech layoffs?
16:00
What kind of projects and skills do recruiters look for in an application?
22:25
Difference between a data scientist, data engineer, and data analyst
30:00
A road map to becoming an ML engineer with an economics background
33:26
The future of data science with advancements in LLM and generative AI space
37:50
The future of Geospatial and tips for entering the field
41:50
What stands out more in a data science job application: good pro
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