How to start with Data Science?

Ankit Rathi
Aug 18, 2018 · 3 min read

This is my first podcast on SoundCloud, this podcast covers one of the most frequently asked question by beginners - how to start with data science?

I have attached my podcast to this blog post to cover the outline and to share the links of the resources mentioned in the podcast.

Want to learn more? visit www.ankitrathi.com


Listen to my podcast here:


Podcast Outline

Introduction

  • Welcome to Data Deft, my data science podcast
  • Covers various data science topics
  • From FAQs to latest trends in the field

Background & Context

  • Started with data science in 2012
  • Only a handful of resources available then
  • Too many courses, books, blogs to learn from now
  • Hand-picked resources mentioned here
  • Not an exhaustive list, mostly the resources I use often

Learning Aspects

  • Four aspects to learn data science
  • Concepts: basic building blocks of data science & algorithms
  • Process: from defining business problem to deployment of model
  • Tools: open-sources, proprietary tools, cloud platforms
  • Staying updated: websites, blogs, podcasts to follow
  • Sharing resources to cover these aspects

Before continuing with this post, if you are loving the content, check out my post on ‘How to launch your DS/AI Career in 12 weeks?’


1. Coursera

  • Two popular & most followed learning courses
  • Machine Learning & Deep Learning by Andrew Ng
  • Mainly cover concepts & processes

2. Books

  • Python Machine Learning by Sebastian Raschka
  • Machine Learning with R by Brett Lantz
  • Primarily cover concepts, process & tools

3. Kaggle

  • World’s largest platform for data science competitions
  • These sections are Learn, Datasets, Kernels & Competitions
  • It covers concepts, process & tools

4. AnalyticsVidhya

  • Another leading platform for Data Science competitions
  • It has Learn, Engage, Compete sections
  • This covers concepts, tools, staying updated

Conclusion

  • Many other resources: KDNuggets, Medium, LinkedIn, Twitter etc
  • But above four are enough for beginners for now
  • Thanks for listening, waiting for the feedback

Thank you for reading my post. If you enjoyed it, please clap button 👏 so others might stumble upon it. 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 listen to me on SoundCloud.

Analytics Vidhya

Analytics Vidhya is a community of Analytics and Data…

Ankit Rathi

Written by

Data & AI Architect | Author | Speaker | All views are my own | www.ankitrathi.com

Analytics Vidhya

Analytics Vidhya is a community of Analytics and Data Science professionals. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com

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