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Data Science Tools PowerPoint Presentation

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Slide 1 - Data Science Tools A component of data science is extracting value from data. Understanding the data and processing it to get the most value out of it are the two key components. Professionals with expertise in data organisation and analysis are known as data scientists. Data scientists carry out tasks like selecting pertinent questions, gathering information from many sources, organising the information, changing the information to the answer, and conveying the results for better business decisions. Top Software Tools for Data Science Let's examine the most popular technologies employed by data scientists. Ranking of tools, both free and paid, based on performance and popularity.
Slide 2 - Integrate.io Pricing for Integrate.io is based on a subscription system. It provides a seven-day free trial. Integrate.io is a platform for data integration, ETL, and ELT that can connect all of your data sources. It serves as an all-inclusive toolkit for creating data pipelines. This flexible and scalable cloud platform can combine, refine, and prepare data for cloud analytics. It o"ers services for developers, customer service, marketing, and sales. Features: The features of the sales solution include those for customer understanding, data enrichment, centralising metrics & sales tools, and maintaining CRM organisation. Its customer support solution will o"er in-depth analysis, assist you in making wiser business decisions, o"er personalised assistance options, and include automatic upsell and cross-sell features. The marketing solution from Integrate.io will assist you in creating complete, successful campaigns. Data transparency, simple migrations, and interfaces to legacy systems are all features of Integrate.io. 2) RapidMiner Cost: A 30-day free trial is o"ered. The monthly starting pricing for RapidMiner Studio is $2500 per user. The annual starting price for a RapidMiner Server is $15,000. For a single user, RapidMiner Radoop is cost-free. Its annual enterprise plan budget is $15,000. RapidMiner is a tool for the entire predictive modelling life cycle. It provides all the features necessary for constructing models, validating them, and deploying them. To link the predefined blocks, a GUI is provided.
Slide 3 - Features: For data preparation, visualisation, and statistical modelling, use RapidMiner Studio. Central repositories are provided by RapidMiner Server. For developing big-data analytics features, use RapidMiner Radoop. An online archive is RapidMiner Cloud. Data Robot Cost: For more pricing details, get in touch with the business. The platform for automatic machine learning is called Data Robot. Data scientists, business leaders, software engineers, and IT specialists can all use it. Features: It o"ers a simple deployment procedure. Python SDK and APIs are available. Parallel processing is possible. model improvement. Apache Hadoop Cost : It is available for free. A framework that is open source is Apache Hadoop. Using Apache Hadoop, straightforward programming methods may disperse the processing of big data sets among computer clusters. Features: It is a platform that may grow. At the application layer, failures can be found and handled. Hadoop Common, HDFS, Hadoop Map Reduce, Hadoop Ozone, and Hadoop YARN are only a few of the several modules it includes.
Slide 4 - Trifacta Cost : Trifacta o"ers the Wrangler, Wrangler Pro, and Wrangler Enterprise pricing tiers. You can register for the Wrangler plan without cost. To learn more about the other two options' pricing information, get in touch with the business. For data preparation and wrangling, Trifacta o"ers three tools. Individuals, groups, and organisations can all make use of it. Features: You can explore, modify, clean up, and combine desktop files with the aid of Trifacta Wrangler. An enhanced self-service platform for data preparation is called Trifacta Wrangler Pro. Trifacta Wrangler Enterprise aims to provide the analyst team more control. 6) Alteryx Cost: Alteryx Designer costs $5195 a year per person. The annual cost of an Alteryx Server is $58500. Additional features are available for both plans at a premium price. A platform for data discovery, preparation, and analysis is o"ered by Alteryx. By using and sharing the analytics at scale, it will also assist you in discovering deeper insights. Features:
Slide 5 - It o"ers the tools needed for internal collaboration and data discovery. It provides features for setting up and analysing the model. You will be able to manage people, workflows, and data assets centrally using the platform. You can integrate R, Python, and Alteryx models into your workflows. KNIME Cost: It is free to use. They can combine technologies and data kinds with the aid of KNIME for data scientists. It is a platform with an open source. You'll be able to employ the tools of your choice and give them more functionality. Features: For the time-consuming and repeated tasks, it is quite helpful. tries out new things and expands to Big data and Apache Spark. It is compatible with a wide range of systems and data sources. Excel Cost: O ce 365 Home is $99.99 annually, O ce 365 Personal is $69.99 annually, and O ce Home & Student is $149.99 annually. O ce 365 Business costs $8.25 a month for each user. O ce 365 Business Premium costs $12.50 a month for each user. The monthly cost for O ce 365 Business Essentials is $5 per user. Excel is a tool that can be used for data science. It is a tool that non-technical people may use easily. It works well for data analysis. Features: It includes useful tools for compiling and organising data. You can use it to sort and filter the information. It includes formatting options for conditions.
Slide 6 - Matlab Cost: The cost of Matlab for a single user is $860 per year or $2150 for a permanent licence. For this strategy, a risk-free trial is o"ered. Additionally, it is available for both personal use and for students. You may solve these problems by using Matlab to construct algorithms, analyse data, and build models. It can be applied to wireless communications and data analytics. Features: You can use interactive apps in Matlab to see how various methods a"ect your data. It is capable of scaling. It is possible to immediately translate Matlab algorithms into C/C++, HDL, and CUDA code. Java Cost : Free A language for object-oriented programming is Java. Any platform that supports Java can run the compiled Java code without the need to recompile it. Java is easy to learn, object-oriented, platform-neutral, portable, multi-threaded, and secure. Features: We will examine some benefits of Java for data science, including: A wide selection of tools and libraries for machine learning and data science are available in Java. Large data science projects can be developed using Java 8 and Lambdas.
Slide 7 - Data science is supported by Scala. Python Cost : Free Python o"ers a sizable standard library and is a high-level programming language. It has procedural, functional, dynamic type, object-oriented, and automatic memory management features. Features: Data scientists utilise it because it o"ers a good variety of helpful packages for free download. Python can be extended. It o"ers free libraries for data analysis. Conclusion RapidMiner excels in both model creation and value extraction from data. A platform for transforming into an AI-driven business is o"ered by Data Robot. For predictive analytics, it works best. Complex data formats including JSON, Avro, ORC, and Parquet can be used with Trifacta. The greatest open source software library for handling massive datasets is Apache Hadoop. KNIME is a platform for combining several tools and data kinds that is free and open source. Non-technical individuals find Excel to be simple to use. Because of its libraries, Python is well-liked by data scientists. Many businesses utilise Java for corporate development. Models created in R and Python can therefore be converted to Java to work with the organization's infrastructure.
 

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