Top 10 Tools that are shaping the Future of Data Scientists
Here are the top Data Science tools that are used by most of the data scientists. Have a look at them –
R is a library that is mostly used for statistical modeling. It also offers variety of visualization and analytical tools. Ggplot2, dplyr, mlr, lubridate are some of the important libraries of R. To explore more in R you should check a complete R tutorial series.
SAS is a closed source proprietary software that is used for a number of data operations including analysis and machine learning. It is stable and is trusted by industry professionals around the world. Learn about SAS in detail.
Weka is an open source data mining software that provides GUI support for performing various machine learning operations on the data model.
Hadoop is a big data tool that is used for processing large amount of data. It is a highly scalable platform that can accommodate large scale computations. Hadoop is very important for data scientist. If you have this skill it will add a good value in your resume and helps you get a better job.
Spark is an open-source, fast and efficient data processing engine that comes with revealing development APIs. What makes Spark special is its data streaming capability.
These are some of the important tools that are used by every data scientist. Also, to learn each tool, I have provided you the links. Start learning these tools, upgrade your skills, and step up in data science field. Also, you can check the latest article on how can you get your first job in data science. Don’t forget to add your feedback in the comments below.