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00M-229 exam Dumps Source : IBM SPSS Predictive Analytics Sales Mastery v1
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Test designation : IBM SPSS Predictive Analytics Sales Mastery v1
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best days after IBM introduced the acquisition of document seize vendor Datacap, large Blue has snatched Unica (news, web page) -- a advertising management developer that automates, manages and speeds up core company methods throughout advertising channels.
The contract, which become finalized on Friday, will survey IBM (information, web site) pay US$ 480 million for Unica which might exist incorporated into IBM’s methods and application group together with its group of workers of 500.
greater peculiarly, it might exist built-in into the trade Analytics and Optimization Consulting organization, on which IBM has spent immediate to US$ 11 billion of the previous 5 years with the acquisition of agencies enjoy InfoSphere and Cognos and more lately, NISC and provoke.IBM, Analytics and Acquisitions
The NISC acquisition changed into in the nascence announced in January and closed in June in a deal that bolstered IBMs cling on the public sector market particularly in health, where it has been expanding its company Analytics and Optimization products.
business Analytics and Optimization is the these days developed approach from IBM of applying superior analytics to helping corporations foretell the seemingly influence of moves with the intention to help resolution-making.
In can also, IBM upgraded its SPSS predictive analytics device enabling clients to resolve text gathered from gregarious media sources, including Twitter, fb, blogs, wikis and RSS feeds.
The help represents a substantial help in the SPSS Modeler records mining and textual content analytics solution with learning that stretch so far as detecting the context of the words used.IBM and Unica
These and different deals over the past few years bask in created a ambitious analytics company. besides the fact that children, it truly hasn’t had a product that may give predictive analytics for marketing campaigns and during this their enterprise analytics became exceedingly vulnerable in comparison to its different analytics components. With Unica, IBM says it'll treatment this.
IBM understands the demands on state-of-the-art companies to radically change core enterprise procedures in features reminiscent of marketing with intelligence and automation . . . Unica became a limpid selection for IBM in accordance with its power to automate a wide set of advertising capabilities . . .,” mentioned Craig Hayman, accepted manager at IBM industry solutions in an announcement.What Unica Brings to IBM
IBM will too purchase 1500 new purchasers together with most efficacious buy, eBay, and US cellular who are at present using both Unica’s SaaS or on premise software.
And while financially 2009 wasn’t a particularly vivid 12 months for Unica, enjoy many other utility agencies it appears to bask in grew to become the corner with its Q3 figures, which bask in been launched in the nascence of this month.
average the figures expose complete revenues of US$ 30.7 million, an increase of 14% in comparison to Q3 in 2009. In specifically, license income grew 69% for the quarter and is up 37% for the yr to date. It has additionally endured to extend its subscription-primarily based choices, which grew over 70% annually.
Unica’s software will now exist brought to IBM’s InfoSphere, Cognos, and SPSS records analytics application, and its Sterling Commerce, Coremetrics, and WebSphere e-commerce software. The deal is anticipated to shut within the fourth quarter of this yr.
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The IBM Watson AI outfit drew the area’s consideration by course of successful at "Jeopardy" in February 2011 in opposition t two of the online game’s all-time champions, and IBM has strived to apply the Watson system to greater entertaining issues than a trivialities quiz ever given that. IBM has too prolonged Watson’s capabilities to builders, facts scientists, and even usual trade users. along with IBM’s SPSS predictive analytics application, Watson varieties the foundation of IBM’s cloud offerings in desktop studying and advanced analytics.
IBM breaks the Watson device into 5 ingredients: computing device gaining learning of, query analysis, natural language processing, feature engineering, and ontology evaluation. From these ingredients, IBM has constructed out a set of composable cloud capabilities from which you can build your own mini-Watson for a solution to your difficulty. (notice that compiling the capabilities foundation for the solutions is effortless: 95 percent of "Jeopardy" questions will too exist answered by using the titles of Wikipedia articles.)
in the meantime, IBM is taking fragment on applying Watson ideas to fitness care, seismology, training, and genomics, at enterprise degrees. whereas these efforts are very wonderful, specifically in the long run, for the purposes of this review I’ll concentrate on Watson and other machine studying (ML) expertise that is purchasable to exist used in the IBM Cloud, which includes the Bluemix PaaS.
What different ML tech? In a far off nook of IBM’s a ways-flung empire, IBM SPSS offers both windows and cloud implementations of the SPSS Modeler package, plus a Predictive Analytics carrier that may sprint its mannequin predictions in actual time within the Bluemix PaaS and intermittent batch jobs to replace the fashions. IBM SPSS Modeler is comparable to Azure computer studying and Databricks, while the IBM Watson functions are comparable to Microsoft’s challenge Oxford and Cortana Analytics, in addition to to HPE’s Haven OnDemand.
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Business Applications Editor
Russian airline Aeroflot is using analytics software from IBM to try to boost passenger numbers and entrench customer loyalty.
Aeroflot carried 26.1 million passengers final year and is Russia’s largest airline. IBM has had a presence in Russia for 40 years, prerogative back into the Soviet era.
Through the deal, Aeroflot will expend IBM’s advanced analytics technologies, such as its Hadoop-based BigInsights platform and its predictive analytics product family SPSS, to draw customer insights from structured and unstructured data held on the company’s travel booking website and in gregarious networks as well as its IT and accounting systems.
The system will apply data mining, machine learning and predictive modelling to more than 300 data sources to analyse the buying behaviour of Aeroflot’s customers and reckon their lifetime value to the business.
Aeroflot’s sales staff will expend the software to target travellers with the prerogative profiles with deals to new destinations, among other activities.
In a statement, the company’s marketing director Mikhail Fandeyev said: “Personalisation and targeted marketing tools will allow us to proactively attract new customers while successfully developing relationships with their existing base.”
Russian solid Technoserv Consulting is the system integrator for the deal. Dmitry Bulenko, its director of trade evolution for the transport sector, said: “Aeroflot was the first among Russian airlines to clearly understand the value of data within its organisation.”
Eugene Ostrovsky, head of transport industry for IBM in Eastern Europe and Asia, said: “As a long-term colleague to Aeroflot… they are providing some of the most advanced technologies available to help revolve data into valuable insight.”
The UK’s national carrier, British Airways, too has an established data analytics programme, again aimed at customer personalisation. In 2013 Computer Weekly reported it as using “third parties such as Opera Solutions, a company that uses advanced science to extract predictive patterns from data and revolve them into trade outcomes”.
Last year, they ran an article outlining “Six tall designation Schools with tall Data Programs.” It was very popular, and why not? In an economic environment where jobs appear to constantly evaporate, data science holds the promise of abundant, remarkable paying jobs for the foreseeable future.
Current IDC estimates suppose that the tall data market is growing at 31.7 percent a year and will exist $23.8 billion by 2016. Hadoop solitary is at $77 million, says the research group, and at a compound annual growth rate of 60 percent, the solid predicts Hadoop to exist $812.8 million by 2016. That’s a lot of jobs to exist had for people with the prerogative skills. Filling jobs will skilled candidates is constantly listed as one of the biggest challenges that companies bask in when implementing tall data projects.
One of the most often questions that they accumulate asked is how to accumulate started. The list that we’re compiling here is not exhaustive, but it’s a remarkable plot to start for somebody looking for ideas on how to accumulate on the prerogative path towards a job in tall data. Let’s begin!
As stated previously, they ran an article final year outlining some of the opportunities that are out there. In case you missed them, here are the six they Put the spotlight on so you can check them out before you survey the additions:
North Carolina condition University – A coastal city with a bold tall data view – NCSU has been aggressive in their vision with their Institute for Advanced Analytics. Recently, the National Security Agency announced that they would exist establishing the Laboratory for Analytic Sciences adjacent to the Institute.
Stanford University – For students looking to foster into a tall data career, Stanford offers a Data Mining and Applications Graduate Certificate, giving a broad-based foundation in an locality where a lot of tall data application exists. A background in probability and matrix algebra is required for entry.
Northwestern University – Northwestern offers an online Master of Science in Predictive analytics, blending concepts in data management, statistical analysis, as well as communication and leadership. On campus, they proffer a Master of Science in Analytics.
Syracuse University – The Syracuse iSchool offers an online Certificate of Advanced Study in Data Science for graduates looking to solidify their tall data credentials. Required courses comprehend Data Administration Concepts and Database Management, as well as Applied Data Science.
UCSD – Through their certificate in data mining program, UCSD offers students an break to learn problem solving, statistical thinking, and result interpretation, providing a remarkable foundation in the world of tall data.
Stevens Institute of Technology – This diminutive known college focused on science and engineering offers a trade intelligence and analytics program for graduates.
With the review in mind, let’s occupy a peer at six more schools which are offering programs to help occupy the next steps into the age of analytics…
Part of their College of Computing and Digital Media, DePaul is one of the few schools that offers a Master of Science in Predictive Analytics. Students who enroll at DePaul University in Chicago can expect to develop skills in data mining, multivariate statistics, machine learning, and database processing.
The school offers several flavors of predictive analytics concentrations, including the following:
Ongoing research includes areas such as web mining and analytics, probabilistic learning, gregarious computing, graphical modeling, medical imaging and visual computing. Students in this program will exist exposed to industry sponsored data analytics projects. Among these projects, it was recently announced that lieutenant Professor, Alexander Rasin received an award from IBM for the evolution of a graduate data mining course based on Apache Hadoop and Mahout.
The DePaul program for predictive analytics can exist taken either on campus, or through an online program. In addition to several electives, students are given the option to occupy classes at DePaul’s Kellstadt School of trade for specific areas of interest.
If you’re ready to hurl everything you bask in to become an analytics whiz, Louisiana condition University has a program for you. The LSU Department of Information Systems and conclusion Sciences has developed a 36 credit hour, 12 month program that starts in June, and drives their students full-time until they near out in May as a Master of Science in Analytics.
The program is said to focus on using advanced data management tools, including SAS, SQL, R, SPSS, Tableau, and a variety of other tools aimed at giving them the competence to fully utilize their analytics prowess for the purposes of increasing ROI, improving customer retention, reducing fraud, and improving conclusion making. The program focuses on sum manner of analytics and statistical methods, including cluster analysis, data mining, predictive modeling, and more. Industry application areas comprehend finance & insurance, healthcare, hotels & restaurants, distributors, retailers, manufacturers and consulting.
You can survey an example of the LSU analytics curriculum here:
The program is competitive – potential students will bask in to sprint a gauntlet of pre-requisites, including GRE or GMAT test scores that Fall in the top 25%. The next application deadline is March 31, 2014.
Located in Pittsburgh, Carnegie Mellon University’s Heinz College offers a Master of Information Systems Management degree with a trade Intelligence and Data Analytics concentration. The goal of the program, says the college, is to cross train their students in trade process analysis as well as skills in predictive modeling, GIS mapping, analytical reporting, segmentation analysis, and data visualization.
Students will gain an abundance of hands on sustain through the iLab facilities, an inter-disciplinary research seat that blends faculty and students from the Heinz College, the Department of Statistics, Department of Machine Learning, the School of Computer Science, and the Tepper School of business.
Other notable hands on opportunities at Carnegie Mellon comprehend labs such as the live Analytics Research Center, a joint research initiative with the Singapore Management University aimed at researching behavioral and gregarious network analytics.
The program includes three separate tracks:
Responding to the growing demand for working professionals with tall data skills, Texas A&M announced this month that they are offering their newest graduate degree, a Master of Science in Analytics starting this fall. Housed by their Department of Statistics along with the Mays trade School, the program aims to help students understand how to bring sense to data and communicate it effectively.
The Texas A&M program, designed for working professionals, is a five semester part-time, with classes taking plot on Tuesday and Thursday evenings either in person on through their online extension courses. Students can expect to develop skills in statistical modeling and predictive analysis through hands on quantitative analysis projects specific to their employers, as well as data sets garnered through trade partnerships.
One such partnership is with the PGA Tour as fragment of its ShotLink Intelligence program which measures every shot taken in tour events. The school has been given access to the data and will expend it for example analysis.
A fledgling program that is expecting to house its first 20 students this fall, the school says that they bask in received a significant donation from North Carolina-based SAS, well known for their trade analytics software.
Before graduating, students will exist expected to complete a capstone project which will exist a predictive modeling trade question done on a large data set.
Another program finding its roots, the University of California, Berkeley’s School of Information announced final month that they will exist launching a fully online Master of Information and Data Science degree program through their I School.
The program, which begins in January 2014, will exist a 27-unit program aimed at working professionals, and will require a one-week immersion at the I School’s South Hall. enjoy the Texas A&M program, the program will culminate in a capstone project aimed at the student demonstrating their mastery of the concepts and skills that are the focus of the school.
These skills comprehend everything from machine learning, data storage and retrieval, experimentation, privacy, security, and even ethics.
With classes completely on the web, the program is expecting to restrict the student to faculty ration to 15:1, with coursework including lectures, interactive case studies and collaborative assignments. The online nature of the program will exist facilitated through 2U Inc.’s online learning management platform.
The W. P. Carey School of trade at Arizona condition University (ASU) offers a Master of Science in in trade Analytics for those looking to further their tall data credentials.
The program is a full-time, nine month engagement aimed at drilling in the concepts of data-driven analysis, strategic decision-making and trade process optimization. Courses comprehend everything from enterprise and applied analytics, data mining, applied regression models, analytical conclusion making tools, data-driven property management, and more.
Student can expect to master such concepts as the expend of quantitative modeling tools and technique for solving modern supply chain problems, road mapping data-driven conclusion making, leveraging statistical instrument suites to report every flavor of modeling, mining data to extract predictive analytics, trade analytics strategy, and more.
All of the programs listed in the pages previous are graduate programs – but what about recommendation for someone just getting started? alert not friends, there are remarkable places where you can accumulate a leg up on your path to becoming a data scientist. Here is a short list of schools which proffer Bachelor of Arts and Science majors specific to data science and analytics.
College of Charleston – Located in Charleston, SC, undergraduates can drudgery towards a B.S. in Data Science at the College of Charleston.
George Mason University – A student who relocates to Fairfax, VA can pursue a B.S. degree in Computational & Data Sciences, combining applied mathematics, computer science skills, data acquisition and analysis, and scientific modeling.
Illinois Institute of Technology – At the Illinois Institute of Technology, located in Chicago, IL, students can pursue a B.S. in Computer Science with a specialization in Data Science through a joint program called Data Science @ IIT offered by both the Department of Applied Mathematics and the Department of Computer Science.
Northern Kentucky University – Head to Newport, KY, where an undergraduate can accumulate a B.S. degree in Data Science, with course plans that specialize in trade analytics or a computation intensive track.
University of Iowa – Head to Des Moines, IA, where an undergraduate student can win a B.A. in trade Analytics and Information Systems, aimed at solving censorious trade problems through the expend of advanced computation and mathematical techniques.
University of Washington – Predictive analytics in the Pacific Northwest! Undergraduates can accumulate a Certificate in Data Science studying in Seattle, learning everything from statistical and machine learning techniques as well as hands on with Hadoop and MapReduce.
This, of course, is not the “one list to rule them all” in data science schooling, but it does give a cogent overview on programs that are available on every corner of the United States. We’re elated to hear of other programs that might exist out there. transmit us your tips at editor [at] Datanami era com.
Six tall designation Schools with tall Data Programs
IBM Narrows tall Data Skills Gap By Partnering With More Than 1,000 Global Universities
Big Data Jobs in Hyper-Growth
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Data and tall data analytics are expeditiously becoming the lifeblood of any successful business. Getting the technology prerogative can exist challenging, but pile the prerogative team with the prerogative skills to undertake tall data initiatives can exist even harder.
Not surprisingly, that challenge is reflected in the rising demand for tall data skills and certifications. According to research by IT research solid Foote Partners, both noncertified advanced data analytics skills and certified tall data skills bask in gained value in recent years: with 74 advanced data analytics related skills and certifications rising in middling 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 institute 123 related certified and noncertified tall 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 resolve tall data. They too necessity tall data systems architects to translate requirements into systems, data engineers to build data pipelines, developers who know their course around Hadoop clusters and other technologies, and systems administrators and managers to tie everything together.
[ Find out the hottest data and analytics trends today. | accumulate ahead with the top certs for tall data, project management, agile, and the cloud. | accumulate weekly career tips by signing up for their CIO Leader newsletter. ]
These skills are in towering demand and are relatively rare. Individuals with the prerogative blend of sustain and skills can demand towering salaries. The prerogative certifications can help.
"Advanced data analytics capabilities are just too censorious 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 censorious focus for data and analytics services. IDC is predicting a 30 percent CAGR over the next five years, while McKinsey is expecting IoT to bask in a $4 trillion to $11 trillion global economic repercussion by 2025 as businesses peer 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 tall data skills, according to Foote Research, Foote believes pay premiums for both noncertified and certified skills will steadily rise over the next 12 to 24 months.
If you're looking for a course to accumulate an edge — whether you're job hunting, angling for a promotion or just want tangible, third-party proof of your skills — tall data certification is a remarkable option. Certifications measure your learning and skills against industry- and vendor-specific benchmarks to prove to employers that you bask in the prerogative skillset. The number of tall data certs is expanding rapidly.
Below is their usher to the most sought after tall data certifications to help you determine which cert is prerogative for you.
If you would enjoy to submit a tall data certification to this directory, please email us.Analytics: Optimizing tall Data Certificate
The Analytics: Optimizing tall Data Certificate is an undergraduate-level program intended for business, marketing and operations managers, data analyst and professionals, fiscal industry professionals, and diminutive trade owners. The program brings together statistics, analysis, and written and oral communications skills. It introduces students to the tools needed to resolve large datasets, covering topics including importing data into an analytics software package, exploratory graphical and data analysis, pile 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 tall Data Analytics and Optimization (CPEE)
Offered in Hyderabad and Bengaluru, India, the Certificate in Engineering Excellence tall Data Analytics and Optimization is an intensive 18-week program that consists of 10 courses (lectures and labs) for students of sum aspects of analytics, including working with tall 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 train 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 trade 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 train 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 bask in 120 minutes to implement a technical solution for each task. They must resolve the problem and arrive at an optimal approach in the time allowed.
How to prepare: Cloudera recommends candidates occupy the Cloudera Data Analyst Training course, which has the selfsame 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 instrument such as Impala or Hive, others may require coding. Candidates bask in 120 minutes to complete the exam.
How to prepare: There are no prerequisites required, but Cloudera says the exam follows the selfsame 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 competence to effect core competencies required to ingest, transform, store and resolve 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, large data set, a CDH cluster and four hours. For each problem, the candidate must implement a technical solution with a towering degree of precision that meets sum the requirements.
How to prepare: Cloudera suggests professionals seeking this certification bask in hands-on sustain in the bailiwick and occupy the Cloudera Developer Training for Spark and Hadoop course.EMC Proven Professional Data Scientist Associate (EMCDSA)
The EMCDSA certification demonstrates an individual's competence to participate and contribute as a data science team member on tall data projects. It includes deploying the data analytics lifecycle, reframing a trade challenge as an analytics challenge, applying analytic techniques and tools to resolve tall data and create statistical models, selecting the preempt 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 – tall Data
Designed for data architects, the IBM Certified Data Architect – tall 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' trade requirements into a tall data solution.
Organization: IBM Professional Certification Program
How to prepare: IBM recommends a train of seven multi-day courses on SPSS Modeler to InfoSphere BigInsights to prepare for the test.IBM Certified Data Engineer – tall Data
The IBM Certified Data Engineer – tall Data certification is intended for tall data engineers, who drudgery directly with data architects and hands-on developers to transform an architect's tall data vision into reality. Data engineers understand how to apply technologies to resolve tall data problems and bask in the competence to build large-scale data processing systems for the enterprise. They develop, maintain, test and evaluate tall 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 train 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 large datasets enjoy the Web, gregarious network graphs and large 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 bask in learning of basic computer science principles and skills, at a flat adequate 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 selection 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 bask in 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 pile applications using MongoDB. It requires a 90 minute, multiple selection 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 bask in registered for a certification exam.SAS Certified tall Data Professional
The SAS Certified tall Data Professional certification program is for individuals seeking to build on their basic programming learning by learning how to gather and resolve tall 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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