🔥 Intellipaat's Data Science Course: [ Ссылка ]

#WhatDoesADataScientistActuallyDo #DataScienceAndGenerativeAIin2024 #DataScienceRoadmap #HowtoLearnDataScience #DataScienceInterviewProcess #DataSciencePodcast #Podcast #intellipaat

In this Episode on 'What Does a Data Scientist Actually Do', we are talking to Mr. Amitkumar Sarvaiye, the Lead Data Scientist at Chargebee. With extensive experience in the field, including valuable roles at companies like TVS Motor Company, ExxonMobil, Mr. Amitkumar brings a wealth of knowledge to the table.

In this Data Science Podcast, we'll explore Mr. Amit's journey from his early career to a Lead data scientist working on cutting edge generative AI projects. We'll talk about how a beginner can get started in data science, skills to master for becoming a data scientist, recruitment process for data scientists in MNCs, etc.

🔵 Following topics are covered in this "What Exactly Data Scientists Do in 2024"':
00:00 - Precap
01:53 - Introduction
03:02 - Is math mandatory for Data Science?
03:38 - What problems can Data Science solve for business?
06:13 - Can data improve manufacturing efficiency?
07:10 - Importance of software development in data science?
09:48 - Is Python easy to learn?
10:14 - Is learning data science as easy as Python?
10:51 - Approach to learn data science as a new graduate?
12:43 - Thoughts on Generative AI?
15:22 - What is Retrieval-Augmented Generation?
19:30 - Output of generative models in LangChain?
22:06 - Trends in using Generative AI in companies?
24:39 - Effectiveness of language models?
25:36 - What do you seek when building a Data Science team?
27:10 - How did you prove the value of data-driven evidence?
27:42 - Experiences with inaccurate Predictive Analysis?
29:04 - What is Automated Infrastructure?
30:01 - Difference between a Data Scientist and an ML Engineer?
31:37 - Data generated by users in a recommendation system?
33:48 - Potential use cases of data science?
35:35 - Lead conversion model?
37:09 - Challenges with no historical data?
38:18 - Skills needed for data scientist recruitment?
43:30 - What is the design thinking process?
46:09 - Standing out to employers with a different background?
50:06 - Difference between theory and real-world practice?
52:43 - Trends in data science for upskilling?
54:19 - Is working with LangChain a key skill?
54:50 - Can we fine-tune our language models?
55:24 - Forums and platforms for data science updates?
56:14 - Opinion on using ChatGPT?

➡️ About the Course
This advanced data science course helps you master Python, SQL, machine learning, Power BI, generative AI, and more. Gain an Advanced Certification from iHub IIT Roorkee (An Innovation Hub of IIT Roorkee). Become a data scientist through this comprehensive 7-month online program featuring live interactive sessions with IIT faculty and top industry experts.

➡️Who should take this course?
☑️Aspiring Data Scientists
☑️Machine Learning Enthusiasts
☑️Developers and Statisticians
☑️Professionals looking to enhance their data science skills

✅ Key Features
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Roorkee Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors and 24*7 Support
👉🏼Resume Preparation and LinkedIn Profile Review
👉🏼Campus Immersion at iHUB, IIT Roorkee
👉🏼Guaranteed Placement Assistance
👉🏼No-cost EMI Option

What’s Covered in This Program?
✅ Course 3: Python with Data Science (Data Visualization, Data Mining, Data Interpretation)
✅ Course 4: Linear Algebra and Advanced Statistics
✅ Course 5: Machine Learning and Prediction Algorithms
✅ Course 6: Supervised and Unsupervised Learning in ML
✅ Course 7: Data Science tools (Power BI, TensorFlow, SciPy)
✅ Course 8: Deep Learning
✅ Course 9: Deploying Machine Learning Models with Cloud
✅ Course 10: Data Analysis with MS-Excel (Self-Paced)

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More Intellipaat Advanced Certifications -
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🌕 Advanced Certification in Data Science: [ Ссылка ]
🌕 Advanced Certification in Full Stack Web Development: [ Ссылка ]

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