Data science tools

1. SAS

It is one of those data science tools which are specifically designed for statistical operations. 

2. Apache Spark

Apache Spark or simply Spark is an all-powerful analytics engine and it is the most used Data Science tool. 

3. BigML

BigML, it is another widely used Data Science Tool. It provides a fully interactable, cloud-based GUI environment that you can use for processing Machine Learning Algorithms. 

4. D3.js

Javascript is mainly used as a client-side scripting language. D3.js, a Javascript library allows you to make interactive visualizations on your web-browser. 

5. MATLAB

MATLAB is a multi-paradigm numerical computing environment for processing mathematical information.

6. Excel

Probably the most widely used Data Analysis tool. Microsoft developed Excel mostly for spreadsheet calculations and today, it is widely used for data processing, visualization, and complex calculations.

7. ggplot2

ggplot2 is an advanced data visualization package for the R programming language. 

8. Tableau

Tableau is a Data Visualization software that is packed with powerful graphics to make interactive visualizations.

 It is focused on industries working in the field of business intelligence.

9. Jupyter

Project Jupyter is an open-source tool based on IPython for helping developers in making open-source software and experiences interactive computing. 

10. Matplotlib

Matplotlib is a plotting and visualization library developed for Python. 

It is the most popular tool for generating graphs with the analyzed data.

11. NLTK

Natural Language Processing has emerged as the most popular field in Data Science. 

It deals with the development of statistical models that help computers understand human language. 

12. Scikit-learn

Scikit-learn is a library based in Python that is used for implementing Machine Learning Algorithms.

13. TensorFlow

TensorFlow has become a standard tool for Machine Learning. It is widely used for advanced machine learning algorithms like Deep Learning.

14. Weka

Weka or Waikato Environment for Knowledge Analysis is a machine learning software written in Java. 

It is a collection of various Machine Learning algorithms for data mining.

Here,the data science tools.