Most Popular DATA SCIENCE Tools




Data Scientists carryout data operations using data science tools .Here is the list of best data science tools used most widely .This tools are divided into two categories

1. Tools that can be used without any programming knowledge
2. Tools used by programmers

Tools without programming knowledge:
  • Data Robot
  • Rapid Miner
  • Amazon Lex
  • Trifacta
  • Datawrapper
  • Fusioo
Tools need programming language:

1. Data Robot:

Data Robot is an automated machine learning platform used by executives ,it professionals and data scientists.

Features:

1. parallel processing is allowed
2. model optimised
3. easy deployment process




2. Rapid Miner:

It is prediction modeling tool which can analyse the complete life cycle of prediction model. Rapid Miner contains functionalities required for data preparation,validation and deployment it also provides GUI's for predefined blocks.It comes with a free trail of 30 days.

Features:
1.For implementing big data analytics  RapidMiner  Radoop is used
2. RapidMiner Cloud is used for cloud-based repository.
3. For data preparation,statistical modelling and visualization RapidMiner Studio is used


3. Amazon Lex

Deep learning functions like Automatic Speech Recognition(ASR) and Natural Language Understanding (NLU) has been provided by Amazon Lex.
with the help of this Amazon Lex new category of products can be defined easily through convensional interfaces

Features:
1.effective in cost
2.built-in integration with AWS Lambda,AWS CloudWatch and AWS Mobile Hub
3.with the help of Amozon Lex you can build your own chat bots easily in minutes


4. Trifacta:

For Data Preparation and Data Wrangling Trifacta provides three products
1.Trifacta Wrangler 
2.Trifacta Wrangler Enterprise and 
3.Trifacta Wrangler Pro

this three products can be used by organizations and also by individuals.

Features:
1.For exploring files and for cleaning and tranforming desktop files we use Trifacta Wrangler
2.Self-service platform for data preparation is provided by Trifacta wrangler pro
3.Trifacta Wrangler Enterprise serves as an empowering platform for analysts.




5. Data wrapper:

Mainly Datawrapper is used for visualization from any type of data.Representing data in the form of line or bar charts is also possible with this datawrapper help.


Features:
1.customize styling of charts accordingly.
2.installation or updation is not required
3.code free environment


6. Fusioo:

Online data base can be build and managed using this cloud based tool.

Features:

1.Real-time notifications on discussion boards,task assignments etc.
2.No coding is required for creation of multiple apps.
3.Permissions for every App created can be managed at any point of time.


With Programming Languages:


1. Hadoop:

By using Hadoop distribution of large data across various computer cluster for processing can be done using simple programmes.This is an open source framework system.

Features:
1. In Application Layer failures are detected and are handled
2.easily scalable
3.Fast at data processing

Vlick here to Hadoop Online Training



2. Tableau:

with the help of tableau one can get the whole view of their data.
This data visualization tool helps in converting raw data into understandable format.

Features:
1. Different data sources can be easily connected
2. Drag and Drop feature is very helpful which makes it easy to use.
3. can be used with any database.

Click here to Tableau Online Training

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3. Python


Python is a high - level programming language used mainly utilizing in small or large-scale applications. It has features to facilitate data analysis and visualization.

Features:
1. Extensible programming language
2. It provides many free packages to download
3. consists of many free data analysis libraries

Click here to Python Online Training


4. NoSQL:

"NoSQL" means "not only SQL" this database is used for retrieval and storage of data.

Features:
1. No need of object relational mapping or data normalization
2. works on self contained aggregates

3. rich data structures


5. R:


R is the most popular open-source programming language used widely in developing data analysis and statastical softwar. Both structured and unstructured data can be analysed using R.

Features :
1. supports cross platform
2. Cost Effective and easily adaptable to users requirement
3. With its distributed computing it not only reduces processing time but also increases efficiency.


6. Tensor Flow:

Tensor flow is a free open source library mostly used for dataflow and different programming. With its help it is easy to adapt new algorithms and experiments with same API'S and server architectures.

Features:
1. Visualization of every part of graph is possible with its responsive construction.
2. distributed computing is possible.
3. Flexible in operating.



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