Data Science deals with recording, storing and analyzing data to effectively get the useful information includes obtaining the value from data. It is all about understanding the data and processing it to extract the value out of it. Data Scientist can do both descriptive analysis and predictive analysis. Descriptive analysis means analyzing the historical data to answer ‘what has happened till now ?’ and Predictive analysis means analyzing the historical data and answer ‘what will happen in the future?’

To handle and analyze extremely large dataset we need the help of data science and tools.

Let’s explore the top tools that data scientists use.

Tools for those who don’t have programming knowledge:

• Data Robot
• Rapid Miner
• IBM Watson Studio
• Amazon Lex
• Trifacta

Tools for programmers :

• Python
• R
• SQL
• TensorFlow
• Hadoop
• NoSQL
• Tableau

Data Robot

Data Robot is the platform for automated machine learning. It can be used by data scientists, executives, software engineers, and IT professionals. It’s a paid tool.

• It provides an easy deployment process
• It has a Python SDK and APIs
• It allows parallel processing
• Model Optimization

Rapid Miner

RapidMiner is a tool for the complete life-cycle of predictive modeling. It has all the functionalities for data preparation, model building, validation, and deployment. It provides a GUI to connect the predefined blocks. A free trial is available for 30 days. RapidMiner Studio price starts at $2500 per user/month. RapidMiner Radoop is free for a single user.

• RapidMiner Server provides central repositories
• RapidMiner Radoop is for implementing big-data analytics functionalities
• RapidMiner Cloud is a cloud-based repository

Apache Hadoop

It is an open source framework. Simple programming models that are created using Apache Hadoop, can perform distributed processing of large data sets across computer clusters.

• It is a scalable platform
• It can be detected and handled at the application layer
• It has many modules like Hadoop Common, HDFS, Hadoop Map Reduce, Hadoop Ozone, and Hadoop YARN

Trifacta

Trifacta provides three products for data wrangling and data preparation. It can be used by individuals, teams, and organizations.

• Trifacta Wrangler will help you in exploring, transforming, cleaning, and joining the desktop files together
• Trifacta Wrangler Pro is an advanced self-service platform for data preparation
• Trifacta Wrangler Enterprise is about empowering the analyst team

Matlab

Matlab provides you the solution for analyzing data, developing algorithms, and for creating models. It can be used for data analytics and wireless communications.

• Matlab has interactive apps which will show you the working of different algorithms on your data
• It has the ability to scale
• Matlab algorithms can be directly converted to C/C++, HDL, and CUDA code

Python

Python is a high-level programming language and provides a large standard library. It has the features of object-oriented, functional, procedural, dynamic type, and automatic memory management.

• It is used by data scientists as it provides a good number of useful packages to download for free
• Python is extensible
• It provides free data analysis libraries

R

R is a programming language and can be used on a UNIX platform, Windows, and Mac OS.

SQL

This domain-specific language is used for managing the data from RDBMS through programming.

Tableau

Tableau can be used by individuals as well as teams and organizations. It can work with any database. It is easy to use because of its drag-and-drop functionality.

Cloud DataFlow

Cloud DataFlow is for stream and batch processing of data. It is a fully-managed service. It can transform and enrich the data in the stream and batch mode.