Data Science, Machine Learning & Big Data Explained 📊
Compare Data Science, Machine Learning, and Big Data to understand their differences and roles in analytics. Learn more with upGrad.

upGrad
102.9K views • Oct 25, 2018

About this video
*Data Science Vs Machine Learning Vs Big Data | Data Science Vs Machine Learning | upGrad*🔥Liverpool John Moore University MS In Data Science: https://www.upgrad.com/data-science-masters-degree-ljmu/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_5mCnQz3wwAY_Description
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Data has always been vital to any kind of decision making. Today’s world runs completely on data and none of today's organizations would survive without data-driven decision making and strategic plans. There are several roles in the industry today that deal with data because of its invaluable insights and trust.
Many get confused between Data Scientist vs Data Analyst vs Data Engineer. They think all these roles are same. Are they? Let's find out in detail in this video.
Let's see the difference between Data Science, Machine Learning, and Big Data.
Are they overlapping fields? Are they poles apart? And most importantly, what career roles are suited for people with a specific skill-set.
Let's also look at the common industry buzzwords — Big Data, Data Science, and Machine Learning. However, despite having some common points, these fields bear stark differences.
#machinelearning #DataScience #BigData #CareerPaths
If you’re one of those looking to jump to any of these fields, there’s just one keyword for you to remember: Upskill.
🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://www.upgrad.com/free-masterclass/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_5mCnQz3wwAY_CalendlyDescriptionLink
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🔥IIIT Bangalore Post Graduate Program in Data Science & AI: https://www.upgrad.com/data-science-pgd-iiitb/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_5mCnQz3wwAY_Description
🔥Graduate Certificate Programme in Data Science & AI: https://www.upgrad.com/graduate-certificate-program-data-science-upgrad/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_5mCnQz3wwAY_Description
🔥Become a Skilled and Job-Ready Data Scientist: https://www.upgrad.com/bootcamps/job-linked-data-science-advanced-bootcamp/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_5mCnQz3wwAY_Description
Data has always been vital to any kind of decision making. Today’s world runs completely on data and none of today's organizations would survive without data-driven decision making and strategic plans. There are several roles in the industry today that deal with data because of its invaluable insights and trust.
Many get confused between Data Scientist vs Data Analyst vs Data Engineer. They think all these roles are same. Are they? Let's find out in detail in this video.
Let's see the difference between Data Science, Machine Learning, and Big Data.
Are they overlapping fields? Are they poles apart? And most importantly, what career roles are suited for people with a specific skill-set.
Let's also look at the common industry buzzwords — Big Data, Data Science, and Machine Learning. However, despite having some common points, these fields bear stark differences.
#machinelearning #DataScience #BigData #CareerPaths
If you’re one of those looking to jump to any of these fields, there’s just one keyword for you to remember: Upskill.
🟢 Get industry-updated insights every week from domain experts - Check out our free masterclasses - https://www.upgrad.com/free-masterclass/?utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_ALL_ALL_ALL_5mCnQz3wwAY_CalendlyDescriptionLink
🟢 Wish to get started with your upskilling journey? Schedule a free counselling session - https://calendly.com/upgradadmissions/15-min-discussion-with-upgrad?month=2024-12&utm_source=OYOUTUBE&utm_medium=OYT&utm_campaign=IND_ACQ_Web_OYoutube_OYT_BC_ALL_ALL_ALL_5mCnQz3wwAY_CalendlyDescriptionLink
Get in touch with us (24x7):
Toll-Free number: 1800 210 2020
WhatsApp Chat: +91 8454 888 222
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Video Information
Views
102.9K
Duration
3:11
Published
Oct 25, 2018
User Reviews
3.9
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