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IBMSPSSMPRO exam Dumps Source : IBM SPSS Modeler Professional(R) Certification
Test Code : IBMSPSSMPRO
Test cognomen : IBM SPSS Modeler Professional(R) Certification
Vendor cognomen : IBM
: 73 actual Questions
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See the total list of machine researching SolutionsSee consumer studies of IBM Watson Studiofinal analysis
Watson is an umbrella for every IBM abysmal gaining knowledge of and synthetic intelligence, as well as computer researching. The company changed into a pioneer in introducing AI applied sciences to the enterprise world. What this capability for consumers: Watson Studio is a properly contender for any organization looking to installation computing device researching and abysmal researching technologies.
The platform gives huge paraphernalia and technologies for statistics scientists, builders and discipline depend specialists that want to determine records, build fashions, and drill and set up laptop getting to know fashions at scale. The solution includes tools to share visualizations and results with others. Watson Studio helps cloud, desktop and local deployment frameworks.
The latter resides behind a firm’s firewall or as a SaaS solution working in an IBM deepest cloud. IBM Watson Studio is ranked as a “leader” in the Forrester Wave. It was a purchasers’ choice 2018 recipient at Gartner Peer Insights.Product Description
Watson Studio depends on a set of IBM paraphernalia and technologies to build powerful computing device studying functions and features. This contains IBM Cloud pretrained computing device getting to know fashions reminiscent of visual attention, Watson natural Language Classifier, and others. The atmosphere makes exercise of Jupyter Notebooks together with other open source paraphernalia and scripting languages to complement built-in collaborative project facets.https://o1.qnsr.com/log/p.gif?;n=203;c=204660772;s=9478;x=7936;f=201812281334210;u=j;z=TIMESTAMP;a=20403954;e=i
The outcome is an ambiance that helps quickly and powerful desktop gaining knowledge of construction and fine tuning of models. records scientists and others can build a choice from numerous capacities of Anaconda, Spark and GPU environments.
Watson Studio helps more suitable visual modeling through a drag-and-drop interface provided by route of IBM’s SPSS Modeler. furthermore, it incorporates automated abysmal discovering using a drag-and-drop, no-code interface in Neural network Modeler.Overview and features consumer Base
data scientists, developers and discipline recollect consultants.Interface
Graphical drag-and-drop and command line.Scripting Languages/formats Supported
helps Anaconda and Apache Spark. The latter presents Scala, Python and R interfaces.codecs Supported
Most principal information and file formats are supported via open source Jupyter Notebooks.Integration
IBM Watson Studio connects several IBM items, together with SPSS Modeler and facts Science event (DSX) along with open supply tools, as a route to convey a sturdy Predictive Analytics and computer getting to know (PAML) solution.
The ambiance comprises open information sets through Jupyter Notebooks, Apache Spark and the Python Pixiedust library. The cloud version elements interactivity with computer servers and R Studio, together with Python, R., and Scala coder for facts scientists.Reporting and Visualization
Visualization through SPSS Modeler. potent logging and reporting services are developed into the product.Pricing
IBM has adopted a pay-as-you-go model. Watson Studio Cloud – general prices $99 per month with 50 faculty unit hours per thirty days blanketed. Watson Studio Cloud - commercial enterprise runs $6,000 per 30 days with 5,000 capability unit hours. Watson Studio desktop costs $199 per thirty days with limitless modeling. Watson Studio indigenous – for industry statistics science teams N/A.IBM Watson Studio Overview and contours at a look:
seller and contours
IBM Watson Studio
wide facts science focus with cloud and desktop ML structures.
Key elements and capabilities
robust visible cognizance and natural classification equipment. bendy strategy that contains open supply equipment. Connects to IBM SPSS Modeler.
tremendously rated for aspects and capabilities. Some complaints revolving round the usage of notebooks.
Pricing and licensing
Tiered mannequin from $ninety nine per month per person to $6,000 per 30 days per consumer or extra at enterprise level.
trying to build it greatly easier for the common company to embrace superior analytics, IBM today announced a cloud-based mostly integrated structure ambiance (IDE) for constructing analytics applications aimed toward information scientists of very nearly any skill degree.
Ritika Gunnar, vice president, offering management, facts and Analytics at IBM, says the data Science adventure from IBM gives now not only access to construction equipment, however too 250 curated information sets that data scientists can employ to jumpstart an utility evolution mission the exercise of the R programming language.
at the equal time, Gunnar says, IBM is featuring a venue on its Bluemix platform-as-a-service (PaaS) atmosphere operating on the IBM SoftLayer cloud during which numerous statistics scientists can collaborate on the structure of these purposes by means of sharing artifacts they invent.The records Science journey, says Gunnar, leverages over $300 million in investments IBM has made within the open supply Apache Spark framework for constructing advanced analytics purposes. final yr, IBM committed to turning Apache Spark into the de facto working atmosphere for structure these forms of functions. As fraction of that effort, IBM revealed that it is joining the R Consortium to accelerate usage of Apache Spark.
As a fraction of a shove to create a mammoth analytics ecosystem, IBM has been making analytics-connected contributions to the Apache Toree, EclairJS, Apache Quarks, Apache Mesos, and Tachyon (now referred to as Alluxio) initiatives, in addition to Apache Spark sub-projects reminiscent of Spark SQL, SparkR, MLlib, and PySpark. every informed, IBM says it has made 3,000 contributions to those initiatives within the remaining 12 months.
IBM has developed Spark into the core of 30 of its offerings, together with IBM BigInsights for Apache Hadoop, IBM Analytics on Apache Spark, Spark power programs, Watson Analytics, SPSS Modeler and circulation Computing. IBM additionally open-sourced its SystemML computing device gaining knowledge of technology closing 12 months.
In ordinary, Gunnar says, IBM has seen a marked shift in where the budget for advanced analytics applications comes from inside corporations. as opposed to being the only province of internal IT businesses, Gunnar says, line-of-company contraptions inside companies are without detain funding evolution of analytics functions. IBM’s goal is to build it simpler for those industry gadgets to faucet their personal inner skills to construct those purposes.Of path, once the purposes are created, they just about inevitably promote returned into the province of the internal IT firm to manipulate. however, meanwhile, IBM hopes that via letting hundreds of superior analytics tasks bloom, those internal IT companies will soon locate themselves including extra value to the enterprise in approaches lots of them would prior to now haven't thought viable.
April 8, 2019 Alex Woodie
businesses of every shapes and sizes are encouraged to undertake synthetic intelligence this present day. Most of nowadays’s AI tech, despite the fact, turned into developed to hasten in open systems and X86 environments. but there are a growing number of AI alternatives from IBM and its companions for purchasers that wish to maintain their records resident on the vigour techniques platform.
There’s no denying there’s loads of hype around AI today. you possibly can scarcely switch on the television or open a journal or internet web page without being inundated with claims of how main companies are the usage of AI to profit a aggressive edge, build or retailer hundreds cash, and build consumers happier. (AI interestingly can’t build us younger or greater-looking yet, however provide it time.)
whereas some agencies are making headway with AI, the verisimilitude is almost every of corporations are silent within the starting phases with AI. The net giants are in reality the exercise of AI – and constructing and open sourcing most of the tools to build AI – but they’re too investing billions of dollars to accomplish it. And the entire AI exercise circumstances up to this aspect are what’s referred to as “slim AI,” no longer the “everyday AI” HAL 9000 that doomed Discovery One.
Suffice it to claim, you’re no longer too late to the AI celebration. if you’re a mid-sized industry in a longtime precise world enterprise that truly makes, strikes, or manages tangible property (i.e. you’re no longer a digital indigenous lamentable bytes for earnings), there is silent time to harness AI to supply your company an knowledge.Enter The Watson
in case you’re a digital native, you doubtless possess already implemented AI (and too you wouldn’t breathe studying this publication, anyway). but if you’re an IBM i shop, your AI sustain may silent likely start with IBM.
huge Blue is making a massive exertion to bolster its line of AI solutions. That includes setting up AI-specific versions of the energy systems server designed to mash desktop researching jobs hungry for CPUs and GPUs. big iron, either on-prem or in the cloud, is a requisite for a lot of machine researching workloads.
however a whole lot of the innovation is going on in AI revolves round utility, which conjures IBM’s sprawling Watson brand. Watson once said the vigour-primarily based supercomputer that beat Ken Jennings at Jeopardy! back in 2011. however today Watson is the umbrella term for every of IBM’s AI choices, which comprises over one hundred different products and functions (that's, APIs).
The core IDE within the Watson lineup is called Watson Studio, which was formerly called information Science adventure. This product offers a laptop-vogue interface for information scientists to write machine learning code in quite a lot of languages, together with R and Python.
IBM’s product for deploying machine researching into creation is known as Watson computer gaining knowledge of. IBM presents two versions, including WML community edition, a free product that comes loaded with the newest abysmal learning application love TensorFlow and Caffe, in addition to IBM’s own SnapML, which is a souped-up version of the accustomed Scikit breathe trained product.
IBM too sells a extra advanced version referred to as WML Accelerator (WMLA), which changed into previously referred to as PowerAI. This providing is designed to ply definitely huge machine gaining knowledge of models that should scale across a cluster of machines.
while most Watson offerings will now hasten on X86 besides power (which IBM announced at its fresh IBM feel 2019 convention), WMLA remains an influence-handiest affair, due to the quickly NVLink connections that IBM constructed into the Power9 chip and its vigour AC922 gadget to link these power CPUs with Nvidia Tesla GPU accelerators.
IBM has dedicated to retaining Watson as open as feasible. a lot of the utility that underpins Watson, together with the speedy in-memory Apache Spark processing framework, is open source, and it’s IBM’s arrangement to leverage the open supply community to hold Watson principal as know-how inevitably improves.
as an example, WMLA can breathe used to control models developed in different statistics science environments, together with H2O.ai, Anaconda, and SAS, in accordance with Sumit Gupta, the vice chairman of IBM’s AI, machine researching, and HPC efforts. “we will exercise Watson laptop studying Accelerator to maneuver an Anaconda job,” Gupta stated. “if you’re using SAS or you’re using some other analytics framework, they drudgery with them.”
IBM has inspired its IBM i consumers to commence using Watson to system facts originating in IBM i Montreal, Quebec-primarily based Fresche solutions these days launched a sequence of lessons to uphold drill IBM i builders the route to exercise the a variety of Watson APIs that are available on the cloud.
but IBM i retail outlets aren’t restrained to operating in the cloud. really, many of these different solutions can hasten on vigor, too. H2O.ai and Anaconda each uphold power with their machine researching automation equipment. basically, one IBM i shop from South the united states, imaginative and prescient Banco, these days discussed its exercise of H2O.ai with IT Jungle.AI And IBM i
in line with vision Banco’s head records scientist, Ruben Diaz, the Paraguay monetary institution begun out the usage of SPSS statistical tools to calculate key variables within the company equation, together with credit score rankings, fraud risk, and odds of defaulting on a loan. The enterprise developed the statistical equations in SPSS, and then carried out them as saved techniques in the DB2 database powering its core IBM i banking functions, Diaz spoke of.
The industry increased its statistical drudgery a number of years back and adopted different tools love KNIME and R. The enterprise begun the exercise of extra advanced models, similar to random forests and gradient boosting machines (GBMs), and exported them the usage of predictive mannequin markup language (PMML). it will then convoke the routines from the core IBM i banking gadget by means of a leisure-based mostly internet provider, Diaz explains.
About three years ago, the industry embarked upon the third generation of its statistics science setup, which covered H2O’s prevalent suite of computing device gaining knowledge of algorithms. Diaz and his colleagues begun the usage of extra superior algorithms, together with XGBoost, neural networks, and advanced collections of algorithms called ensembles.
“H2O stunned us for the velocity to coach models,” Diaz says. “the usage of R in training a random forest it could grasp hours. but with H2O that takes simply minutes. that you can accomplish more fashions within the iteration of the data science technique.”
lately, the industry moved up to DriverlessAI, a brand new suite of predictive paraphernalia from H2O designed to automate lots greater of the facts science method. The industry too bought an IBM AC922 server equipped with the latest Tesla V100 GPU accelerators from Nvidia.
Diaz says he’s capable of crank through extra models in a faster time with DriverlessAI running on the quickly IBM vigour hardware. “As a knowledge scientist, it makes my job less demanding, sooner, and greater first-rate,” he spoke of. “in the statistics science technique, time is cash. in case you can construct a model quicker, that you may accomplish greater experiments.”
one of the crucial projects Diaz used DriverlessAI for became structure a propensity to purchase mannequin for credit card offers for americans who convoke into the cognomen center. “We doubled the response,” Diaz talked about. “That changed into a pretty worthy result.”
in the future, Diaz hopes to strengthen greater facts science exercise circumstances as imaginative and prescient Banco, together with gadget that build the most of time-series datasets to realize money laundering, and audio and video processing using NLP and the latest abysmal learning ideas.
imaginative and prescient Banco is one of the largest banks in Paraguay, with about 1,800 personnel and 800,000 consumers. in the united states, it could breathe regarded a superior medium-sized enterprise. With a team of just seven information scientists and analysts – now not to point out the gunship of an AI server, the energy AC922 – Diaz is capable of utilize data to build better predictions about his company, with a roadmap to enforcing one of the most most advanced neural networking suggestions.
naturally, we’re initially of a brand new period in computing, one pushed by statistical chances. If a solidly midsize IBM i shop love imaginative and prescient Banco can outcome in constrain these items, what’s protecting you again?connected studies
Taking A Fresche approach To IBM i-Watson schooling
Watson within the precise World
IBM i, Watson & Bluemix: The leisure Of The Story
Watson Apps ready to alternate the world
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See the replete list of Machine Learning SolutionsSee user reviews of IBM Watson StudioBottom Line
Watson is an umbrella for every IBM abysmal learning and simulated intelligence, as well as machine learning. The company was a pioneer in introducing AI technologies to the industry world. What this means for buyers: Watson Studio is a top contender for any organization looking to deploy machine learning and abysmal learning technologies.
The platform provides extensive tools and technologies for data scientists, developers and topic matter experts that want to explore data, build models, and train and deploy machine learning models at scale. The solution includes tools to share visualizations and results with others. Watson Studio supports cloud, desktop and local deployment frameworks.
The latter resides behind an organization’s firewall or as a SaaS solution running in an IBM private cloud. IBM Watson Studio is ranked as a “Leader” in the Forrester Wave. It was a Customers’ choice 2018 recipient at Gartner Peer Insights.Product Description
Watson Studio relies on a collection of IBM tools and technologies to build powerful machine learning applications and services. This includes IBM Cloud pretrained machine learning models such as Visual Recognition, Watson Natural Language Classifier, and others. The environment uses Jupyter Notebooks along with other open source tools and scripting languages to complement built-in collaborative project features.https://o1.qnsr.com/log/p.gif?;n=203;c=204660772;s=9478;x=7936;f=201812281334210;u=j;z=TIMESTAMP;a=20403954;e=i
The result is an environment that facilitates mercurial and powerful machine learning evolution and fine tuning of models. Data scientists and others can choose from various capacities of Anaconda, Spark and GPU environments.
Watson Studio supports enhanced visual modeling through a drag-and-drop interface provided by IBM’s SPSS Modeler. In addition, it accommodates automated abysmal learning using a drag-and-drop, no-code interface in Neural Network Modeler.Overview and Features User Base
Data scientists, developers and topic matter experts.Interface
Graphical drag-and-drop and command line.Scripting Languages/Formats Supported
Supports Anaconda and Apache Spark. The latter offers Scala, Python and R interfaces.Formats Supported
Most major data and file formats are supported through open source Jupyter Notebooks.Integration
IBM Watson Studio connects several IBM products, including SPSS Modeler and Data Science sustain (DSX) along with open source tools, in order to deliver a robust Predictive Analytics and Machine Learning (PAML) solution.
The environment accommodates open data sets through Jupyter Notebooks, Apache Spark and the Python Pixiedust library. The cloud version features interactivity with Notebook servers and R Studio, along with Python, R., and Scala coder for data scientists.Reporting and Visualization
Visualization through SPSS Modeler. tough logging and reporting functions are built into the product.Pricing
IBM has adopted a pay-as-you-go model. Watson Studio Cloud – benchmark costs $99 per month with 50 capacity unit hours per month included. Watson Studio Cloud - Enterprise runs $6,000 per month with 5,000 capacity unit hours. Watson Studio Desktop costs $199 per month with unlimited modeling. Watson Studio Local – for enterprise data science teams N/A.IBM Watson Studio Overview and Features at a Glance:
Vendor and features
IBM Watson Studio
Broad data science focus with cloud and desktop ML platforms.
Key Features and capabilities
Strong visual recognition and natural classification tools. supple approach that incorporates open source tools. Connects to IBM SPSS Modeler.
Highly rated for features and capabilities. Some complaints revolving around using notebooks.
Pricing and licensing
Tiered model from $99 per month per user to $6,000 per month per user or more at enterprise level.
Data and vast data analytics are mercurial becoming the lifeblood of any successful business. Getting the technology prerogative can breathe challenging, but structure the prerogative team with the prerogative skills to undertake vast data initiatives can breathe even harder.
Not surprisingly, that challenge is reflected in the rising exact for vast data skills and certifications. According to research by IT research firm Foote Partners, both noncertified advanced data analytics skills and certified vast data skills possess gained value in recent years: with 74 advanced data analytics related skills and certifications rising in tolerable value by 6 percent in 2015, followed by 116 advanced data analytics related skills and certifications increasing 4.8 percent overall in market value in 2016. Additionally, Foote Partners research found 123 related certified and noncertified vast data skills seeing a 0.3 percent gain in value in the first quarter of 2017.
Organizations are on the hunt for data scientists and analysts with expertise in the techniques required to dissect vast data. They too need vast data systems architects to translate requirements into systems, data engineers to build data pipelines, developers who know their route around Hadoop clusters and other technologies, and systems administrators and managers to tie everything together.
[ Find out the hottest data and analytics trends today. | find ahead with the top certs for vast data, project management, agile, and the cloud. | find weekly career tips by signing up for their CIO Leader newsletter. ]
These skills are in high exact and are relatively rare. Individuals with the prerogative fuse of sustain and skills can exact high salaries. The prerogative certifications can help.
"Advanced data analytics capabilities are just too faultfinding for staying competitive," David Foote, co-founder, chief analyst and chief research officer of Foote Partners, said in a statement released with the research. "They've expanded in popularity from a few industries to nearly every industry and market. And there is the Internet of Things, the next faultfinding focus for data and analytics services. IDC is predicting a 30 percent CAGR over the next five years, while McKinsey is expecting IoT to possess a $4 trillion to $11 trillion global economic repercussion by 2025 as businesses observe to IoT technologies to provide more insight."
While the market value of noncertified advanced analytics skills has actually increased faster as a percentage of foundation salary than the value of certified vast data skills, according to Foote Research, Foote believes pay premiums for both noncertified and certified skills will steadily mount over the next 12 to 24 months.
If you're looking for a route to find an edge — whether you're job hunting, angling for a promotion or just want tangible, third-party proof of your skills — vast data certification is a grandiose option. Certifications measure your knowledge and skills against industry- and vendor-specific benchmarks to prove to employers that you possess the prerogative skillset. The number of vast data certs is expanding rapidly.
Below is their lead to the most sought after vast data certifications to animate you decide which cert is prerogative for you.
If you would love to submit a vast data certification to this directory, gratify email us.Analytics: Optimizing vast Data Certificate
The Analytics: Optimizing vast Data Certificate is an undergraduate-level program intended for business, marketing and operations managers, data analyst and professionals, monetary industry professionals, and miniature industry owners. The program brings together statistics, analysis, and written and oral communications skills. It introduces students to the tools needed to dissect big datasets, covering topics including importing data into an analytics software package, exploratory graphical and data analysis, structure analytics models, finding the best model to explore correlation among variables and more.
Organization: University of Delaware
Price: $2,895 course fee
How to prepare: A basic background in statistics and some prior college coursework is recommended.Certificate in Engineering Excellence vast Data Analytics and Optimization (CPEE)
Offered in Hyderabad and Bengaluru, India, the Certificate in Engineering Excellence vast Data Analytics and Optimization is an intensive 18-week program that consists of 10 courses (lectures and labs) for students of every aspects of analytics, including working with vast data using Hadoop. It focuses on R and Hadoop skills, as well as statistical modeling, data analytics, machine learning, text mining and optimization. Students are evaluated on a real-world capstone project and a series of quizzes.
Organization: International School of Engineering (INSOFE)
Price: ₹3000 (INR) application fee and a program fee of ₹3,25,000 + 15 percent service tax.
How to prepare: INSOFE admits students based on performance on its entrance exam and prior academic background and drudgery experience.Certification of Professional Achievement in Data Sciences
The Certification of Professional Achievement in Data Sciences is a non-degree program intended to develop facility with foundational data science skills. The program consists of four courses: Algorithms for Data Science (CS/IEOR), Probability & Statistics (STATS), Machine Learning for Data Science (CS), and Exploratory Data Analysis and Visualization (STATS).
Organization: Columbia University
Price: $1,858 per credit (a minimum of 12 credits, including the four courses, are required to complete the program). In addition, there is an $85 non-refundable application fee for the on-campus program and $150 for the online program. The online program too includes an additional non-refundable technology fee of $395 per course.
How to prepare: An undergraduate degree and prior quantitative and introductory to computer programming coursework are required.Certified Analytics Professional
The Certified Analytics Professional (CAP) credential is a general analytics certification that certifies end-to-end understanding of the analytics process, from framing industry and analytic problems to acquiring data, methodology, model building, deployment and model lifecycle management. It requires completion of the CAP exam and adherence to the CAP Code of Ethics.
Price: $495 if you are an INFORMS member, or $695 if you're not. Team pricing is available for organizations.
How to prepare: A list of study courses and a series of webinars are available through registration.Cloudera Certified Associate (CCA) Data Analyst
A SQL developer who earns the CCA Data Analyst certification demonstrates core analyst skills to load, transform and model Hadoop data to define relationships and extract meaningful results from the raw output. It requires passing the CCA Data Analyst Exam (CCA159), a remote-proctored set of eight to 12 performance-based, hands-on tasks on a CDH 5 cluster. Candidates possess 120 minutes to implement a technical solution for each task. They must dissect the problem and arrive at an optimal approach in the time allowed.
How to prepare: Cloudera recommends candidates grasp the Cloudera Data Analyst Training course, which has the identical objectives as the exam.Cloudera Certified Associate (CCA) Spark and Hadoop Developer
The CCA Spark and Hadoop Developer credential certifies a professional has proven their core skills to ingest, transform and process data using Apache Spark and core Cloudera enterprise tools. It requires passing the remote-proctored CCA Spark and Hadoop Developer Exam (CCA175), which consists of eight to 12 performance-based, hands-on tasks on a Cloudera Enterprise cluster. Each question requires the candidate to resolve a particular scenario. Some cases may require a utensil such as Impala or Hive, others may require coding. Candidates possess 120 minutes to complete the exam.
How to prepare: There are no prerequisites required, but Cloudera says the exam follows the identical objectives as the Cloudera Developer Training for Spark and Hadoop course, making it excellent preparation for the exam.Cloudera Certified Professional (CCP): Data Engineer
The CCP: Data Engineer credential certifies the faculty to fulfill core competencies required to ingest, transform, store and dissect data in Cloudera's CDH environment. It requires passing the remote-proctored CCP: Data Engineer Exam (DE575), a hands-on, practical exam in which each user is given five to eight customer problems each with a unique, big data set, a CDH cluster and four hours. For each problem, the candidate must implement a technical solution with a high degree of precision that meets every the requirements.
How to prepare: Cloudera suggests professionals seeking this certification possess hands-on sustain in the bailiwick and grasp the Cloudera Developer Training for Spark and Hadoop course.EMC Proven Professional Data Scientist Associate (EMCDSA)
The EMCDSA certification demonstrates an individual's faculty to participate and contribute as a data science team member on vast data projects. It includes deploying the data analytics lifecycle, reframing a industry challenge as an analytics challenge, applying analytic techniques and tools to dissect vast data and create statistical models, selecting the arrogate data visualizations and more.
Organization: Dell EMC Education Services
Price: $600 for video-ILT streaming; $5,000 for instructor-led
How to prepare: EMC offers a training course, available as either a video or an instructor-led course.IBM Certified Data Architect – vast Data
Designed for data architects, the IBM Certified Data Architect – vast Data certification requires passing a test that consists of five sections containing a total of 55 multiple-choice questions. It demonstrates a data architect can drudgery closely with customers and solutions architects to translate customers' industry requirements into a vast data solution.
Organization: IBM Professional Certification Program
How to prepare: IBM recommends a series of seven multi-day courses on SPSS Modeler to InfoSphere BigInsights to prepare for the test.IBM Certified Data Engineer – vast Data
The IBM Certified Data Engineer – vast Data certification is intended for vast data engineers, who drudgery directly with data architects and hands-on developers to transfigure an architect's vast data vision into reality. Data engineers understand how to apply technologies to resolve vast data problems and possess the faculty to build large-scale data processing systems for the enterprise. They develop, maintain, test and evaluate vast data solutions within organizations, providing architects with input on needed hardware and software. This certification requires passing a test that consists of five sections containing a total of 53 multiple-choice questions.
Organization: IBM Professional Certification Program
How to prepare: IBM recommends a series of nine multi-day courses to prepare for the test.Mining Massive Data Sets Graduate Certificate
Designed for software engineers, statisticians, predictive modelers, market researchers, analytics professionals, and data miners, the Mining Massive Data Sets Graduate Certificate requires four courses and demonstrates mastery of efficient, powerful techniques and algorithms for extracting information from big datasets love the Web, social network graphs and big document repositories. The certificate usually takes one to two years to complete.
Organization: Stanford seat for Professional Development
Price: $18,000 tuition
How to prepare: A Bachelor's degree with an undergraduate GPA of 3.0 or better is required. Applicants should possess knowledge of basic computer science principles and skills, at a flat sufficient to write a reasonably non-trivial computer program.MongoDB Certified DBA Associate
The MongoDB Certified DBA Associate credential is intended to demonstrate that operations professionals understand the concepts and mechanics required to administrate MongoDB. It requires a 90 minute, multiple choice exam.
Organization: MongoDB University
How to prepare: There are no prerequisites, but MongoDB suggests candidates complete an in-person training or one of its online courses (M102: MongoDB for DBAs; M202: MongoDB Advanced Deployment Operations). MongoDB too provides the MongoDB Certification Exam Study Guide, available to those who possess registered for a certification exam.MongoDB Certified Developer Associate
The MongoDB Certified Developer Associate credential is intended for software engineers who want to demonstrate a solid understanding of the fundamentals of designing and structure applications using MongoDB. It requires a 90 minute, multiple choice exam.
Organization: MongoDB University
How to prepare: There are no prerequisites, but MongoDB suggests candidates complete an in-person training or one of its online courses (M101J: MongoDB for Java Developers; M101JS: MongoDB for Node.js Developers; M101N: MongoDB for .NET Developers; M101P: MongoDB for Developers). MongoDB too provides the MongoDB Certification Exam Study Guide, available to those who possess registered for a certification exam.SAS Certified vast Data Professional
The SAS Certified vast Data Professional certification program is for individuals seeking to build on their basic programming knowledge by learning how to accumulate and dissect vast data in SAS. The program focuses on SAS programming skills; accessing, transforming and manipulating data; improving data property for reporting and analytics; fundamentals of statistics and analytics; working with Hadoop, Hive, Pig and SAS; and exploring and visualizing data. The program includes two certification exams, both of which the participants must pass.
Organization: SAS Academy for Data Science
Price: $9,000 for classroom (Cary, NC), $4,725 for blended learning (combination of 24/7 online access and instructor-led training)
How to prepare: At least six months of programming sustain in SAS or another programming language is required to enroll.Related articles Join the newsletter!
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