How Data Science Has Changed Over Time | Data Science Landscape | Intellipaat #Shorts #DataScience

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Get ready to explore the world of Data Science with our Intellipaat Podcast episode focusing on Data Science Roadmap 2024.

In this video, our esteemed guest, Mr.Parth Sharma, the Senior Manager of Data Science @ Piramal Finance will tell us “How Data Science has Changed Over Time”

He will be talking about how the landscape of implementing machine learning or deep learning models has evolved. He will also mention that there are a variety of cloud service providers like Heroku, AWS, and GCP, making deployment much simpler, and with a click, models will be deployable effortlessly.

Stay tuned!

✅How data science is changing?
New tools are democratizing access to data, promoting workforce agility, and enabling users to scale their resources dynamically. By breaking down the barriers of limited tools and computing, cloud technologies are empowering data scientists to pursue complex projects that deliver more value to their organizations.

✅How does data science change the way we live today?
Moreover, data science plays a significant role in addressing societal challenges, such as healthcare, climate change, and urban planning. By analyzing data, researchers and policymakers can develop data-driven solutions to complex problems, leading to better outcomes for individuals and society as a whole.

✅How data science is evolving in today's scenario?
Today, data science continues to evolve rapidly, driven by advancements in technology, increased computational power, and the availability of vast amounts of data. It has become an essential discipline in industries such as finance, healthcare, marketing, and cyber security, among others.




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