Ishan Sharma

Resources:

AI Career selection guide: https://codebasics.io/resources/ai-career-selection-guide

AI Engineer Roadmap: https://codebasics.io/resources/ai-engineer-roadmap-2024

Data Scientist Roadmap: https://codebasics.io/resources/data-science-roadmap-2024

Sample project portfolio website: https://codebasics.io/portfolio/V-S-Santhi-Anantha

Codebasics YouTube channel: https://youtube.com/c/codebasics


This video is a beginner's guide to starting a career in Data Science. With me today, I have Dhaval Patel Sir who is the founder of Codebasics. 

Dhaval Sir emphasizes mastering fundamentals over chasing multiple tools, covering key concepts such as machine learning, deployment, and the best resources you need to become a data scientist in 2024. 

He goes on to explain the soft skills and hard skills that you need to make a career in Data Science.

In the podcast, we’ve covered everything, from skills, and scope to the biggest mistakes and the AI impact on data science roles.

Make sure to watch the podcast till the end and take notes. 



📸 Instagram: https://bit.ly/ishansharma7390ig

Join MarkitUpX Discord Server: https://discord.gg/fwSpTje4rh


CHAPTERS:

00:00 - Introduction
01:28 - Who is Dhaval Sir?
03:39 - Overlap of data science and AI
05:49 - Different roles in data science
08:58 - Biggest data science mistakes
13:17 - Misconceptions in data science
17:05 - Why do resumes get rejected?
20:26 - Focus on fundamentals
28:17 - Important skills in data science
28:40 - What is ‘Version control’?
33:18 - Machine learning
35:50 - Deployment
38:36 - Mistakes in machine learning
41:18 - AI impact on data science
46:24 - How to look for the best teachers/resources?
51:17 - ‘10 rupee course scam’
53:34 - Message for people
1:05:51 - Warren Buffet's success formula
1:08:31 - Conclusion



😁 About Me: https://bit.ly/aboutishansharma
📱 Twitter: https://bit.ly/ishansharma7390twt
📝 LinkedIn: https://bit.ly/ishansharma7390li

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