Recruiters are looking for candidates capable of building and presenting projects, solutions and tools.
if you are a Python developer or aspire to become one, we teach Python for data science to beginners

check out the playlist here: Complete Python for Data Science Learn Python in 4 Months Ongoing: https://www.youtube.com/playlist?listPL31XenDVPq_kXVxCw3qF_gGXJVRdQpAzK

Plus, we'll be building tools in Python, be sure to subscribe now

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Why learn #datascience??

/"Data science is the sexiest job of the 21st century/"

If you are a #btech student, #computer science #graduate, #graduate looking for #career #transition to #data science, #machine learning, #data analytics, this is the place for you.

Every one of us uses social media platforms like Instagram, Facebook or binge watch on OTT platforms like #youtube, netflix, prime, hotstar or window shopping on e-commerce sites like Amazon, Flipkart, Myntra.

It certainly amazes us to see products of our choice and interest being #recommended to us, with our favorite shows filtered among millions of others.

However, few people understand how it works. Don't worry, we will help you understand the concepts in a #simplified and #concise way, helping you in the career transition to machine learning or data science.

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Why learn from datahat??

/"Datahat is a bridge/"
learners — professionals through simplified data science

It provides a platform to learn, create and collaborate helping with career #transition to data science, machine learning and data analytics.

Understand the broad field of data science and its associated subfields in machine learning, data analytics, and data engineering in self-paced, #structured, and #guided learning

* Here are some interesting reads on our blog: https://medium.com/@souravagarwal54321

*Connect with us on linkedIn: https://www.linkedin.com/company/datahat-unfoldingmystery/

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Additionally, here are some additional useful resources for beginners and curious data enthusiasts.

1. kaggle: a platform to learn, practice, compete and win cash prizes [https://www.kaggle.com/]

2. paperswithcode: Website featuring the latest machine learning and data science research and code implementations [https://paperswithcode.com/]

3. google colab: a platform to run code, build machine learning solutions, explore GPU and TPU capabilities without any environment setup hassle: [https://colab.research.google.com /]

Remember, “the greatest investment ever made is in personal growth and learning.”

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