Data Science is a very big domain that works around handling data in different ways. However, working with and handling data is not a kid’s play. Luckily, there are lots of amazing tools in the market using which a data scientist can perform his work more efficiently/easily. Keeping this in mind, today we are sharing with you the six best data science tools in the market.
Here are some of the best data science tools in the market.
SAS
SAS is one of the most popular and reliable data science tools in the market. Using SAS, a data scientist can easily explore/analyze and visualize data. Besides this, it allows its user to easily perform granular analysis of data and uncover hidden insights from it. You can also use the tool for accessing and retrieving data from different sources. Moreover, you can also use SAS for data mining, time series analysis, business intelligence, etc. Additionally, SAS comes with great features like strong data analysis abilities, data encryption, graphs & charts, etc. To learn about this remarkable tool in more detail feel free to join the Data Science Training Institute in Delhi.
Apache Hadoop
Apache Hadoop is another great data science tool. The tool helps its users to store and process Big Data without any problem using clusters of computers. Besides this, the tool is very fast, highly scalable, and can easily detect/rectify failures at the application layer. Additionally, Hadoop comes with amazing features like HDFS, fault tolerance, high availability, data reliability, etc. In short, it is an amazing data science tool and can be very helpful for a data scientist.
Tableau
Tableau is a marvelous data visualization tool that has completely shifted the way a data scientist presents data. Tableau enables its users to easily store and process a large quantity of data and present found insights using graphs/charts. The main of this tool is to make the process of data analysis faster and intuitive. Besides this, it is very user-friendly and comes with features like robust security, ask data, mobile view, etc. Overall, Tableau is a marvelous data visualization tool and can provide lots of advantages to a data scientist.
TensorFlow
It is a robust software library for data science, machine learning, artificial intelligence, etc. Using it, a data scientist can easily build and train data science models. Additionally, it comes with powerful data visualization capabilities and can make the process of visualizing data a kid’s play. Plus, it features a large ecosystem of tools and lots of libraries that can make the work of a data scientist very easy. Besides this, it comes with features like easy model building, fast debugging, etc. In short, it is a phenomenal tool and can help a data scientist a lot in building/deploying ML models.
BigML
BigML is an excellent tool using which you can easily build datasets and share them with others. The tool enables its users to easily build machine learning models and data science algorithms. Plus, you can also use the tool for classifying data and finding anomalies in your data set. Additionally, you can use the tool for forecasting, topic modeling, and many other things. Besides this, BigML comes with fantastic features like interpretable models, flexible deployments, etc.
Excel
Excel is simply the best tool for aspiring data scientists. Using it, a data science fresher can easily master the basics of data science without any difficulty. Furthermore, it is very easy to use and comes with amazing data visualization capabilities. This is the biggest reason why Excel is famous among data scientists. Moreover, it comes with features like pivot tables, flash fill, filters, data sorting and filtering, etc. In a nutshell, it is a remarkable tool and can be very useful for aspiring data scientists. To learn about Excel in more detail feel free to join the Data Science Training in Gurgaon.
Conclusion
These are some of the best data science tools in the market. Using all the above tools a data scientist can easily perform his role and responsibilities more efficiently. So, make sure you try out all the above tools, if you are a data scientist, and want to make your work a lot easier. All these software/tools are fantastic and you won’t regret your decision of using them.Here
