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 Getting started with data science  Getting started with data science can seem daunting, but with a bit of guidance and the right resources, it's definitely achievable. Here are some steps you can take to start your journey in data science: Learn the fundamentals of programming: Python is the most commonly used language for data science, so start by learning Python programming basics. Learn the basics of statistics and mathematics: A strong foundation in statistics and mathematics is essential to understanding the concepts used in data science. Topics like probability, statistics, linear algebra, and calculus are important. Choose a data science specialization: Data science is a broad field with various specializations such as machine learning, deep learning, data visualization, and data engineering. Choose one that interests you and focus on it. Learn data manipulation and analysis: Once you have a solid foundation in programming, statistics, and mathematics, start learning dat

  Docker meetup at Amazon BLR   https://www.meetup.com/docker-bangalore/events/292208017/ https://docs.google.com/forms/d/e/1FAIpQLSeXa79SBIWDMdPhswDdwzr5a7lRMkdIEw39KMGIZqRJ6rYwyQ/viewform?fbzx=4650214117148621918 Getting started link https://launchpass.com/collabnix Docker Tutorials https://dockerlabs.collabnix.com/docker/Docker_VIT_Intro/Docker_VIT_Intro.html Here's the project you might be interested to contribute: Docker Tutorials:  https://dockerlabs.collabnix.com KubeTools:  https://github.com/collabnix/kubetools KubeLabs:  https://kubelabs.collabnix.com Docker Extensions:  https://github.com/collabnix/docker-community-extensions/ https://labs.play-with-docker.com/