How To Become Data Scientist | Data Science Roadmap | Intellipaat Podcast - 03
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In this exciting Episode of the Intellipaat Podcast, we are joined by Mr. Abhinav Harsh, a Lead Data Scientist at Fractal Analytics. This insightful conversation revolves around the path to becoming a successful data scientist.
Our journey into "How to Become Data Scientist?" commences with an exploration of how the field of data science has transformed over the past decade, reaching its current prominence. Abhinav Harsh provides valuable insights into the data science roadmap that leads to a successful career as a data scientist.
In this video on How to Become Data Scientist, we will also learn about generative AI tools and their role in shaping the data science landscape. Discover the essential projects that every aspiring data scientist should embark upon for a successful career.
As our conversation unfolds, you'll gain a comprehensive understanding of How to become Data Scientist. Mr. Abhinav also illuminates the distinct responsibilities associated with various data job roles in the market, shedding light on the indispensable tools and skills that will set you on the path to securing your dream job.
You will also get to know about different factors that recruiters evaluate data science candidates for. Knowing this will allow you to prepare better for your upcoming data science interviews. Mr. Abhinav will also talk about how people from not-tech backgrounds could transition into the field of data science if they thoroughly understand how the business operates.
If you are someone looking for How to Become Data Scientist, then this podcast can definitely be your stepping stone. So, stay tuned until the end of this conversation.
🔵 The key concepts covered in this podcast on “Data Science Roadmap” are :
00:00 - Introduction
00:35 - What Does Your Role Entail as a Lead Data Scientist in a Well-Established Organization Such as Fractal?
04:40 - How Do You Gather Data to Solve the Client's Problem?
05:45 - Can You Share Some of Those 'Eureka!' Moments You Experience in Your Day-to-day Data Science Operations?
08:40 - You Started With Data Science a Decade Ago When It Was Not a Big Thing. So, How Did You Get Into It, and What Challenges Did You Face?
10:06 - Share the Challenges You Faced When Switching From Java Developer to a Data-Oriented Role.
14:08 - How Has the Data Science Industry Evolved Over the Last Decade?
17:30 - Is It Essential for a Novice Data Scientist to Have a Business Acumen?
20:30 - Please Tell Us About the Roadmap for Freshers to Enter the Field of Data Science.
22:34 - How Important is it for Data Scientists to Learn How to Develop Production-Ready Solutions and Deploy Them?
25:56 - Please Define the Job Responsibilities of Different Data roles available in the Market.
29:50 - Do Data Scientists Typically Require Mlops Skills to Land a Job?
31:30 - What Impact is the Inception of Generative AI Making on Data Job Roles?
35:50 - Can You Recommend Some Projects to Kickstart the Data Science Journey?
41:15 - Besides Projects, What Additional Factors Are Taken Into Account During Data Science Job Interviews?
47:15 - What Tips or Advice Do You Have for People Trying to Begin Their Data Science Learning Journey?
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We help professionals make the right career decisions, choose trainers with over a decade of industry experience, provide extensive hands-on projects, rigorously evaluate learner progress, and offer industry-recognized certifications.
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