Data Science: Learn, Apply, Compete, Ask, Connect & Stay Updated



Data Science: Learn, Apply, Compete, Ask, Connect & Stay Updated

In your data science journey, you will doing multiple activities and using many platform to gather the required knowledge and skills. In this post, I am going to share platforms that I have used over the period of time to build the skill-set and stay updated with latest developments in this ever-evolving field.

*By any means, this is not the comprehensive list, it is more of a list of platforms that I have used or use often.

  • Kaggle

Kaggle is a community of data scientists and data enthusiasts. This platform enables you to learn from and mentor each other on your personal, academic, and professional data science journeys. To get involved, you can learn about data science, enter a machine learning competition, publish an open dataset or share code in their reproducible data science environment.

  • Analytics Vidhya

Analytics Vidhya provides a community based knowledge portal for Analytics and Data Science professionals. The aim of the platform is to become a complete portal serving all knowledge and career needs of Data Science Professionals.

  • Medium

Medium taps into the brains of the world’s most insightful writers, thinkers, and storytellers to bring you the smartest takes on topics that matter. So whatever your interest, you can always find fresh thinking and unique perspectives. While it is a general platform, you can find read or write articles related to all data science topics. You can read my latest articles on data science here.

  • Quora

Quora is a question-and-answer site where questions are asked, answered, edited, and organized by its community of users in the form of opinions. While it is a general platform, you can find answers related to all data science topics and if you have any specific query, you can ask here (more conceptual in nature).

  • Stack Overflow

Stack Overflow is the largest, most trusted online community for developers to learn, share their knowledge, and build their careers. More than 50 million professional and aspiring programmers visit Stack Overflow each month to help solve coding problems, develop new skills, and find job opportunities. While it is a general platform, you can find ask or find answers related to all data science topics (more technical in nature).

  • KDNuggets

KDnuggets is a leading site on Business Analytics, Big Data, Data Mining, Data Science, and Machine Learning. It is currently reaching over 500K unique monthly visitors, and over 200K subscribers via email, Twitter, LinkedIn, Facebook, feedly/RSS, and Google+.

  • Data Science Central

Data Science Central is the industry’s online resource for big data practitioners. From Analytics to Data Integration to Visualization, it provides a community experience that includes a robust editorial platform, social interaction, forum-based technical support, the latest in technology, tools and trends and industry job opportunities.

  • Twitter

From breaking news and entertainment to sports and politics, from big events to everyday interests. If it’s happening anywhere, it’s happening on Twitter. While it is a general platform, you can follow the people & events related to data science and stay updated about latest happenings in the field. You can follow me for latest news and articles on Twitter here.

  • LinkedIn

LinkedIn is the world’s largest professional network with more than 562 million users in more than 200 countries and territories worldwide. While it is a general platform, you can connect with data science professionals or enthusiasts, read and write articles about data science and stay updated about the latest happenings in the field. You can connect or follow me on LinkedIn here.

Summary

Platforms to develop Data Science skills

Thank you for reading my post. I regularly write about Data & Technology on LinkedIn & Medium. If you would like to read my future posts then simply ‘Connect’ or ‘Follow’. Also feel free to connect on Slideshare.

Source: Deep Learning on Medium