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Diving Into Data Science

DZone's Guide to

Diving Into Data Science

Take a look at data science from a variety of angles so that you can understand it whether you're a data science aficionado or are putting your data science lab coat on for the first time.

· Big Data Zone ·
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If you work with big data or artificial intelligence at all, then you're dealing with data science. Data science is all about extracting meaning from data — which is the whole point of having data in the first place, right?

In this post, we'll take a look at data science from a variety of angles so that you can understand it whether you're a data science aficionado or are putting your data science lab coat on for the first time. We'll look at some of the most popular and helpful data science articles on DZone, some outside resources on the topic, and some DZone publications that can help you learn more.


Data Science on DZone

Check out some of the top data science articles on DZone to learn about data science from a developer's perspective, how to become a data scientist, and what data science looks like for the modern data architecture. These articles are best read in order!

  1. An Introduction to Data Science by Shiv Shet. Let's start with an introduction to data science. Learn from Shiv Shet how to truly leverage data science for your data analytics needs.

  2. The Developer's Guide to Data Science by Sander Mak. Learn why enterprise developers need to familiarize themselves with data science and see how to go from developer to data scientist.

  3. 10 Steps to Become a Data Scientist in 2018 by Vijay Laxmi. We're still kicking off 2018, so it's not too late to benefit from this article about how to become a data scientist this year!

  4. Data Science for the Modern Data Architecture by Vinay Shukla. Time to get a little more advanced and consider data science through an architectural lens.

  5. Data Science: Viable Career? (2017 and Beyond) by John Sonmez. Lastly, is data science a viable career opportunity? Check out one perspective in this video and transcript.

PS: Are you interested in contributing to DZone? Check out our brand new Bounty Board, where you can apply for specific writing prompts and win prizes! 


Data Science Delights

Let's journey outside of DZone and check out some recent news, conferences, and more that should be of interest to data science newbies and experts alike.

  • Data Science Tutorial for Beginners: What Is Data Science? In the first video of this series, get an in-depth introduction to data science and learn about unstructured and structured data, jobs in the data science world, and more. 

  • The Data Science Conference. Taking place in Chicago, IL, US from March 3-4, 2018, The Data Science Conference brings together anyone who's interested in data science, big data, data mining, machine learning, artificial intelligence, and/or predictive modeling for a few days of data science fun.

  • The Data Skeptic podcast. This weekly podcast offers a good introduction to those interest in data science and machine learning. Interesting topics including predicting Alzheimer's, neuroimaging, and exponential time algorithms.


Dive Even Deeper Into Data Analytics

DZone has Guides and Refcardz on pretty much every tech-related topic, but if you're specifically interested in Kafka, these will appeal the most to you. 

  1. The DZone Guide to Big Data: Data Science and Advanced Analytics. Explore the critical capabilities in next-generation self-service data preparation tools and dive deep into applications and languages affiliated with big data.

  2. Machine Learning: Patterns for Predictive Analytics. This DZone Refcard covers machine learning for predictive analytics, explains setting up testing and training data, and offers machine learning model snippets. 

Managing data at scale doesn’t have to be hard. Find out how the completely free, open source HPCC Systems platform makes it easier to update, easier to program, easier to integrate data, and easier to manage clusters. Download and get started today.

Topics:
big data ,data science ,predictive analytics ,data modeling ,data mining

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