Data Science vs Data Analytics | Difference between Data Science and Data Analytics | Intellipaat – YouTube

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In this video on Data Science vs Data Analytics you will understand about the difference between these two and which one should you choose for better career. So in this Data Science vs Data Analytics comparison video some important parameters have been taken into consideration to tell you the difference between Data Science and Data Analytics & also which one is preferred over the other in certain aspects in detail.
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📕 Read insightful blog on what is Data Science: https://intellipaat.com/blog/what-is-data-science/

📕 Read insightful blog on what is Data Analytics: https://intellipaat.com/blog/what-is-data-analytics/

📰Interested to know about Data Science certifications? Read this blog: https://intellipaat.com/blog/data-science-certification/

Are you looking for something more? Enroll in our data science architect certification course and become a certified data science professional (https://intellipaat.com/data-science-architect-masters-program-training/). It is a 232 hrs instructor led data science training provided by Intellipaat which is completely aligned with industry standards and certification bodies.

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⭐Why Data Science is important?
Data Science is taking over each and every industry domain. Machine Learning and especially Deep Learning are the most important aspects of Data Science that are being deployed everywhere from search engines to online movie recommendations. Taking the Intellipaat Data Science training & Data Science Course can help professionals to build a solid career in a rising technology domain and get the best jobs in top organizations.

⭐Why Data Analytics is important?
Data analysis is an internal organisational function performed by Data Analysts that is more than merely presenting numbers and figures to management. It requires a much more in-depth approach to recording, analyzing and dissecting data, and presenting the findings in an easily-digestible format.


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Author: Aprit Dixit

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