Free tools every data scientist should use

Welcome back! Data science is an amazing field full of growth and potential, if you’re extremely new to data science, check out this article I wrote about creating your data science portfolio:

How to build a data science portfolio

Now, let’s talk about some awesome free data science tools you should definitely know about!

Google Data Studio

Starting off, Google Data Studio is Google’s free offering to data visualization, but what if you already know a visualization tool? Well, the best thing about Google Data Studio is that the entire platform is hosted online, and since it’s part of Google’s ecosystem, it makes sharing the visualizations extremely easy. If you want to check out Google Data Studio, check out the link below:

Google Data Studio Overview

AWS (Amazon Web Services)

Another tool that every data scientist should know about is AWS (Amazon Web Services), this is Amazon’s cloud offering. You maybe asking yourself “wait, isn’t AWS a paid service?”, and you’re right, but there are actually many free tiers for many AWS services. So, there are several different offerings from AWS, but there are still some very important tools within it for data scientists, check out the link below to learn more about this:

Data Scientist - Learning Path | AWS

Spark

Another important tool that a data scientist should know about is Spark, this is an awesome tool for large-scale processing. Just like Hadoop, there are tons of data science positions that require Spark. If you want to learn more Spark, check out the link below:

Apache Spark™ - Unified Engine for large-scale data analytics

Hadoop

Another extremely important tool that every data scientist should know about is Hadoop, this is a collection of different software utilities for distributed computing. I’ve seen many data science positions that required experience with Hadoop, if you want to learn more about this, check out the link below:

Apache Hadoop

There you have it! Those are some of the best free tools every data scientist should know, do you plan on checking any of these tools out? I would love to hear your thoughts about this!

As Always

if you have any suggestions, thoughts, or just want to connect, feel free to contact/follow me on Twitter! Also, below is a link to some of my favorite resources for learning programming, Python, R, Data Science, etc

My Recommendations

Thanks so much for reading!