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luckysingh1999 · 10 months
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Finding the Best Online IoT Training Institute in India
The realm of technology is rapidly evolving, giving rise to groundbreaking innovations that shape the world around us.
One such innovation that has taken the world by storm is the Internet of Things (IoT). As IoT continues to transform industries, the demand for skilled professionals in this field has surged.
With the convenience and flexibility of online learning, finding the best online IoT training institute in India has become a critical step for aspiring individuals looking to embark on a journey of technological excellence.
Unveiling the IoT Landscape: Why Training Matters
The Internet of Things, often referred to as the "connectivity revolution," involves interconnecting everyday objects and devices to the internet, enabling them to communicate, collect data, and exchange information.
This powerful technology has revolutionized industries such as healthcare, manufacturing, agriculture, and transportation, offering enhanced efficiency, productivity, and convenience.
To harness the potential of IoT and contribute meaningfully to this transformative wave, comprehensive training is essential.
The right training equips individuals with the skills needed to design, develop, and manage IoT systems, ensuring they are secure, efficient, and resilient.
Key Attributes of the Best Online IoT Training Institute
Comprehensive Curriculum: A top-notch IoT training institute offers a well-structured curriculum that covers essential concepts such as sensors, data analytics, cloud computing, and cybersecurity. A comprehensive curriculum ensures that students gain a holistic understanding of IoT.
Expert Instructors: The quality of instructors is paramount. Look for an institute that boasts industry experts and experienced professionals as instructors. Their real-world insights and practical knowledge enrich the learning experience.
Hands-on Experience: IoT is a practical field, and hands-on experience is crucial. Institutes that provide access to virtual labs, practical assignments, and real-world projects enable students to apply theoretical knowledge in a practical setting.
Flexibility: Online learning is prized for its flexibility. The best IoT training institute offers a variety of learning options, allowing students to pace their learning according to their schedules. This is especially beneficial for working professionals seeking to upskill.
Networking Opportunities: The IoT industry thrives on collaboration. Institutes that offer networking opportunities, such as forums, discussion groups, and industry webinars, facilitate connections with peers and professionals in the field.
Certification: A reputable training institute offers industry-recognized certifications upon course completion. These certifications validate the skills acquired and enhance employability.
Leading the Pack: The Best Online IoT Training Institutes in India
Edureka: Renowned for its tech-focused courses, Edureka offers a comprehensive IoT certification program. With industry experts as instructors, hands-on projects, and a strong online community, Edureka stands as a prominent choice for IoT training.
Simplilearn: With its IoT training and certification program, Simplilearn combines self-paced learning with instructor-led sessions. Their curriculum covers IoT architecture, device management, and application development.
UpGrad: Collaborating with the prestigious IIIT Bangalore, UpGrad offers an Advanced Certification in IoT. The program focuses on practical learning through case studies and projects. Intellipaat: Featuring hands-on projects and real-world examples, Intellipaat's IoT course covers IoT architecture, sensors, actuators, and data analytics.
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technophile-1255 · 2 years
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Internet Of Things
Hey guys, if you are interested in IoT or new to it, then do check out this link.
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edurekareview-blog · 5 years
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Edureka's Cloud Computing courses
These organizations associate privately owned businesses with college specialists and huge numbers of these tasks are connected to AI and information investigation.
In the event that you can build up the correct aptitudes, tech organizations will need you. At that point you can truly exploit this ground-breaking pattern towards the utilization of AI, AI, apply autonomy and information investigation and the gigantic energy among organizations and different associations to release their full power later on.
 Amid the previous year, India's innovation administrations industry saw almost 55000 occupation misfortunes as jobs in unadulterated customary programming dialects confronted vulnerabilities because of moderating interest from customers, as indicated by evaluations given by enlistment offices.
 Procuring new abilities turned into edureka review the new option. Courses in blockchain, man-made brainpower, cybersecurity are presently being given need over more established aptitudes. One reason could be refered to as the quicker development in computerized innovation based administrations with offer of income going somewhere in the range of 26 and 28%.
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To include, incomes from customary programming-based administrations, which still structures the center, is lessening.Taking a gander at the scale in which upskilling is going on, edtech firm Edureka has discovered couple of examples of upskilling among the youthful IT experts.
 An online study done on around 400 IT experts, found that 42% surrender in the wake of beginning to get familiar with another innovation, for the most part because of absence of self inspiration. Then again, 24% state they surrender around half of the time while 34% state they once in a while or never surrender.
 From extensive IT organizations reskilling their workforces to youthful designers adapting new-age instruments, there's a race to get up to speed with the most recent patterns. Yet, one innovation has unmistakably a larger number of takers than some other: the web of things (IoT).
 In the a half year between October 2017 and March 2018, Bengaluru-based web based learning stage Edureka has seen a 200% flood in enlistment to courses identifying with advances for adding sensors to machines to take into consideration remote checking. Edureka's examination depends on information from more than 16,000 students from around the globe who utilize its gateway.
 IoT is the idea of interfacing any gadget with the web or potentially to another gadget. These gadgets could incorporate everything from cell phones, earphones, and wellness groups to even hardware like a TV, an espresso producer, or a clothes washer.
 "Experts who can planner a monster system of associated gadgets and anaIn the interim, Indian internet business major Flipkart has a key task to carry out in the contention between its American parent, retail mammoth Walmart, and another US behemoth in Amazon.
 A report in Mint on Friday expressed that post the obtaining of Flipkart, Walmart is presently constructing an enemy of Amazon coalition which would likewise take on Chinese online business major Alibaba.
 As per the report, not exclusively is Walmart planning to concrete this partnership by holding Microsoft and Alibaba's adversary Tencent as minority investors in Flipkart, yet it is likewise hoping to rope in Google as another financial specialist in the web based business firm.
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clouditeg · 2 years
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Best 5 Big Data Certification Courses to learn in 2022
Best 5 #BigData #Certification #Courses to learn in 2022 By #Edukera ————— #ArtificialIntelligence #MachineLearning #DataScience #DataAnalytics #DigitalTransformation #IoT #Cloud #100DaysOfCode #WomenWhoCode #Python #marketing #fintech #digital #business #MondayMotivation #Edtech #KeepLearning #Mondayvibes #Onlinetrainingplatform #Trendingtechnologies
Our world runs on Big Data. From business decisions to IoT to healthcare, Big Data is crucial in multiple domains, making it one of the most valuable tech skills to master today! That’s why there is a great demand for professionals who can work with Big Data. To help you capitalize on this opportunity and grow your career, Edureka offers you the best 5 Big Data Certification Courses to learn in…
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nwetss · 3 years
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speedylightheart · 4 years
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North America Digital Education Market To Witness 9.23 %Cagr During 2020-2025
Proliferations of connected devices in the education sector and adoption of eLearning solutions are some of the factors which are driving the growth of Digital Education Market
Global Digital Education market is valued at USD 172.35 Billion in 2018and expected to reach USD 319.75 Billion by 2025 with the CAGR of 9.23 %over the forecast period.  
Digital education is the innovative use of digital tools and technologies during teaching and learning and is usually mentioned as technology enhanced learning (TEL) or e-Learning. The use of digital technologies gives educators the opportunity to design engaging learning opportunities in the courses they teach, and can take the form of blended or fully online courses and programmes. Digital learning is extending learning opportunities so one can leverage the actual fact that learning happens repeatedly and in many places and digital learning will enable this diverse learning opportunity. Digital learning is an instructional training that ultimately helps students. It makes use of a broad range of technology-enhanced educational strategies. It includes blended learning, flipped learning, personalized learning, and other strategies that rely on digital tools to little or large degree.
Global digital education market report is segmented on the basis of component, learning types, end user and regional& country level. Based upon component digital education market is classified as hardware, software and services. Software is subdivided into interactive displays and interactive projectors. Hardware is subdivided into integrated solution and standalone solution. And also services are subdivided into consulting, implementation and support and maintenance. Based upon learning types digital education market is classified into synchronous learning and asynchronous learning. Based upon end users digital education market is classified into academic and enterprise.
The regions covered in this Global digital education market report are North America, Europe, Asia-Pacific and Rest of the World. On the basis of country level, market of digital education is sub divided into U.S., Mexico, Canada, UK, France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.
Digital Education Companies
Coursera (US)
edX (US)
Pluralsight (US)
Edureka (India)
Alison (Ireland)
Udacity (US)
Udemy (US)
Miríadax (Spain)
Jigsaw Academy (India)
iversity (Germany)
Intellipaat (India)
Edmodo (US)
FutureLearn (UK)
LinkedIn (US)
NovoEd (US)
XuetangX (China)
Federica EU (Italy)
Linkstreet Learning (India)
Khan Academy (US)
Kadenze (Spain)
others.
Proliferations of connected devices in the education sector and adoption of eLearning solutions are some of the factors which are driving the growth of Digital Education Market
Proliferations of connected devices in the education sector and adoption of eLearning solutions are some of the factors which are driving the growth of Digital Education Market. Online communication is type of teaching one individual (instructor) takes a lead role in the learning process by giving instructions to other learners. In 2017, 27 billion devices were connected using IoT. This number is expected to increase to 125 billion by just 2030, which will put about 15 connected devices into the hands of every consumer. The USD170 billion IoT market is expected to grow to USD561 billion by 2022. Several corporate organizations follow the synchronous learning training process to train their employees, wherein experienced employees usually take the role of the instructor, while comparatively less experienced employees take the role of a learner. For example, Teksun has developed an eLearning portal that provides a personalized, convenient and affordable training course for working professionals and students. It also assists its company to decrease cost with license fee on the off the shelf courses. Their eLearning a solution make modifies simply to suit changing business objectives. However, challenges with increased availability of open educational resources, might hamper market growth. Technological advancements such as virtual classrooms represent significant opportunity in near future for the companies that are currently offering online learning services.
North America is dominating the Digital Education Market
North America is expected to dominate the growth of Digital Education Market, due to increasing penetration of internet. Household subscriptions to television distribution services Footnote continued their gradual decline, with about three-quarters of households subscribing, while the percentage of households with Internet service increased slightly to 89.0%. Canadian households spent an average of USD233.00 per month on their communications services, an increase of USD10.17 (4.6%) from 2016. In comparison, the average annual inflation rate in Canada was 1.6% in 2017, according to Statistics Canada. Canadian households spent more per month on mobile USD 101.00 than on Internet services USD54.17, television distribution USD 52.58 and landline services USD 25.25. High usage of smartphones and focus of academic sector to digitize learning process in developed countries such as the U.S. and Canada is supporting the growth of North America Online Education market. Europe is expected to dominate the growth of Digital Education market, due to growing use of Artificial Intelligence (AI) and Machine Learning (ML) in smart learning.
Key Benefits for Global Digital Education market Reports –
Global market report covers in depth historical and forecast analysis.
Global market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market opportunities, Competitive Analysis, Regional and Country Level.
Global market report helps to identify opportunities in market place.
Global market report covers extensive analysis of emerging trends and competitive landscape.
Global Digital Education market Segmentation –
By component:-Hardware (Interactive Displays, Interactive Projectors), Software (Integrated Solution, Standalone Solution), Services (Consulting, Implementation, Support and Maintenance)
By learning types:- Synchronous Learning, Asynchronous Learning
By end users:- Academic, Enterprise
Regional & Country Analysis North America, U.S., Mexico, Canada , Europe, UK, France, Germany, Italy , Asia Pacific, China, Japan, India, Southeast Asia, South America, Brazil, Argentina, Columbia, The Middle East and Africa, GCC, Africa, Rest of Middle East and Africa
About Us:
Brandessence Market Research and Consulting Pvt. ltd.
Brandessence market research publishes market research reports & business insights produced by highly qualified and experienced industry analysts. Our research reports are available in a wide range of industry verticals including aviation, food & beverage, healthcare, ICT, Construction, Chemicals and lot more. Brand Essence Market Research report will be best fit for senior executives, business development managers, marketing managers, consultants, CEOs, CIOs, COOs, and Directors, governments, agencies, organizations and Ph.D. Students. We have a delivery center in Pune, India and our sales office is in London.
Contact us at: +44-2038074155 or mail us at [email protected]
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anytutor37-com · 4 years
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Azure Full Course - Learn Microsoft Azure in 8 Hours | Azure Tutorial For Beginners | Edureka
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** Azure Training - https://www.edureka.co/microsoft-certified-azure-solution-architect-certification-training ** This Edureka Azure Full Course video will help you understand and learn Azure & its services in detail. This Azure Tutorial is ideal for both beginners as well as professionals who want to master Azure services. Below are the topics covered in this Azure Tutorial for Beginners video: 00:00 Introduction 3:02 Why Cloud? 3:07 Before Cloud Computing 6:17 What is Cloud? 8:07 What is Cloud Computing? 8:42 Service Models 9:32 SaaS 10:17 PaaS 10:37 IaaS 11:17 Deployment Models 11:27 Public Cloud 11:57 Private Cloud 12:07 Hybrid Cloud 12:42 Cloud Providers 25:12 Azure Fundamentals 25:17 Getting Started with Azure 27:42 What is Microsoft Azure? 28:17 Use-case 30:02 How will we implement this? 34:02 Azure Components 34:12 App Service 34:22 Compute Domain 40:57 Blob Storage 41:22 Storage Domain 46:16 MySQL for Azure 46:49 Auto Scaling & Load Balancing 49:43 How to launch services in Azure? 1:04:53 Demo 1:23:08 Azure Pricing 1:28:33 Storage Domain 1:29:33 Why Storage? 1:33:48 Storage vs Database 1:34:58 What is Azure Storage? 1:41:38 Components of Azure Storage 2:12:35 Network Domain 2:12:40 Virtual Networks 2:13:35 What is Virtual Machine? 2:14:35 Why Virtual Networks? 2:15:35 What is Virtual Network? 2:16:50 What are Azure Subnet? 2:18:35 Network Security Groups 2:19:05 Virtual Network Architecture 2:20:00 Demo 3:08:24 Access Management 3:08:34 Azure Active Directory 3:09:14 What is Azure Active Directory? 3:12:26 Windows AD vs Azure AD 3:14:11 Service Audience 3:15:56 Azure Active Directory Editions 3:16:31 Azure Active Directory Tenants 3:36:06 Azure DevOps 3:36:26 What is DevOps? 3:42:21 Components of Azure DevOps 3:48:11 Azure Boards 4:20:16 Azure Data Factory 4:21:21 Why Data Factory? 4:23:06 What is Data Factory? 4:25:51 Data Factory Concepts 4:27:26 What is Data Lake? 4:29:01 Data Lake Concepts 4:33:31 Data Lake vs Data Warehouse 4:36:46 Demo: Move Data From SQL DB to Blog Storage 4:59:16 Important Services & Pointers 4:59:26 Azure Machine Learning 5:01:26 Machine Learning 5:06:01 Machine Learning Algorithms 5:08:36 Various Processes in ML Lifecycle 5:11:41 Microsoft Azure ML Studio 5:34:56 Azure IoT 5:35:46 What is IoT? 5:41:11 IoT on Azure 5:44:56 Azure IoT Components 5:57:31 Azure BoT Service 6:00:31 What are ChatBots? 6:04:36 Need for Chatbots 6:07:51 Demo: Creating a ChatBot for Facebook Messenger 6:41:06 AWS vs Azure vs GCP 6:51:36 Security 6:52:16 Integration 6:53:06 Analytics & ML 6:53:51 DevOps 6:54:26 Hybrid Capabilities 6:55:01 PaaS Offerings 6:55:26 Learning Curve 6:55:46 Scalability 6:56:26 Cost Efficient 6:57:11 The Final View 6:59:01 Cloud Careers 6:59:11 Azure Interview Questions 7:36:06 Cloud Engineer Jobs, Salary, Skills & Responsibilities 7:36:41 Cloud Engineer Job & Salary Trends 7:46:51 Cloud Engineer Job Skills & Description 7:51:51 Cloud Engineer Responsibilities -------------------------------------------------------------------------------------------------------- Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka ---------------------------------------------------------------------------------------------------------- Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
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jason-mars · 4 years
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IoT Applications | Internet Of Things Examples | Real World IoT Examples | Edureka https://www.edureka.co/blog/iot-applications/?hss_channel=tw-523340980
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tak4hir0 · 4 years
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IoT applications promise to bring immense value into our lives. With newer wireless networks, superior sensors and revolutionary computing capabilities, the Internet of Things could be the next frontier in the race for its share of the wallet.   Don’t think so? Well, here’s a thought. Imagine an intelligent device such as a traffic camera. The camera can monitor the streets for traffic congestion, accidents, weather conditions, and communicate this data to a common gateway. This gateway also receives data from other such cameras and relays the information further to a city-wide traffic monitoring system. Now, take, for instance, the Municipal Corporation decides to repair a certain road. This may cause a traffic congestion on the way to a national highway. This insight is sent to the city-wide traffic monitoring system. Now, considering this is a smart traffic system, it quickly learns and predicts patterns in traffic, with the use of Machine Learning. The smart system can, thus, analyze the situation, predict its impact and relay the information to other cities that connect to the same highway via their own respective smart systems. The Traffic Management System can analyze data acquired and derive routes around the project to avoid bottlenecks. The system could also convey live instructions to drivers through smart devices and radio channels. Meanwhile, the city schools and workplaces near the project could also be called to adjust their schedules. This creates a network of self-dependent systems which leverage real-time control. This is just one example of IoT Applications. But, what is IoT?IoT is essentially a platform where embedded devices are connected to the internet, so they can collect and exchange data with each other. It enables devices to interact, collaborate and, learn from each other’s experiences just like humans do. IoT applications are expected to equip billions of everyday objects with connectivity and intelligence. It is already being deployed extensively, in various domains, namely: 1. IoT Applications – WearablesWearable technology is a hallmark of IoT applications and probably is one of the earliest industries to have deployed the IoT at its service. We happen to see Fit Bits, heart rate monitors and smartwatches everywhere these days. One of the lesser-known wearables includes the Guardian glucose monitoring device. The device is developed to aid people suffering from diabetes. It detects glucose levels in the body, using a tiny electrode called glucose sensor placed under the skin and relays the information via Radio Frequency to a monitoring device. 2. IoT Applications – Smart Home ApplicationsWhen we talk about IoT Applications, Smart Homes are probably the first thing that we think of. The best example I can think of here is Jarvis, the AI home automation employed by Mark Zuckerberg. There is also Allen Pan’s Home Automation System where functions in the house are actuated by use of a string of musical notes. The following video could give you a better idea.   VIDEO 3. IoT Applications – Health CareIoT applications can turn reactive medical-based systems into proactive wellness-based systems. The resources that current medical research uses, lack critical real-world information. It mostly uses leftover data, controlled environments, and volunteers for medical examination. IoT opens ways to a sea of valuable data through analysis, real-time field data, and testing.  The Internet of Things also improves the current devices in power, precision, and availability. IoT focuses on creating systems rather than just equipment. Here’s how an IoT-enabled care device works. 4. IoT Applications – Smart CitiesBy now I assume, most of you must have heard about the term Smart City. The hypothesis of the optimized traffic system I mentioned earlier, is one of the many aspects that constitute a smart city. The thing about the smart city concept is that it’s very specific to a city. The problems faced in Mumbai are very different than those in Delhi. The problems in Hong Kong are different from New York. Even global issues, like finite clean drinking water, deteriorating air quality and increasing urban density, occur in different intensities across cities. Hence, they affect each city differently. The Government and engineers can use IoT to analyze the often-complex factors of town planning specific to each city. The use of IoT applications can aid in areas like water management, waste control, and emergencies. Let’s take an actual example of a Smart City- Palo Alto. Palo Alto, San Francisco, is the first city of its kind, that took a whole new approach towards traffic. They realized, most cars on the streets go around and round the same block, in search of parking spots. That’s the main reason for traffic congestion in the city. Thus, sensors were installed at all the parking spots around the city. These sensors pass the occupancy status of each spot to the cloud. Any number of applications can consume that data. It can guide the drivers through the shortest route to an open spot. This solution here involves the use of sensor arrays feeding back to a point which, aggregates the data and uses it for various purposes. 5. IoT Applications – Agriculture Statistics estimate the ever-growing world population to reach nearly 10 billion by the year 2050. To feed such a massive population one needs to marry agriculture to technology and obtain best results. There are numerous possibilities in this field. One of them is the Smart Greenhouse. A greenhouse farming technique enhances the yield of crops by controlling environmental parameters. However, manual handling results in production loss, energy loss, and labor cost, making the process less effective. A greenhouse with embedded devices not only makes it easier to be monitored but also, enables us to control the climate inside it. Sensors measure different parameters according to the plant requirement and send it to the cloud. It, then, processes the data and applies a control action.  6. IoT Applications – Industrial AutomationThis is one of the fields where both faster developments, as well as the quality of products, are the critical factors for a higher Return on Investment. With IoT Applications, one could even re-engineer products and their packaging to deliver better performance in both cost and customer experience. IoT here can prove to be game changing with solutions for all the following domains in its arsenal. Factory DigitalizationProduct flow MonitoringInventory ManagementSafety and SecurityQuality ControlPackaging optimizationLogistics and Supply Chain OptimizationIn just 1-year internet connected devices went from 5 million to billions. Business Insider Intelligence estimates that 24 billion IoT devices would be installed by the year 2020, generating a revenue of over 300 billion. IoT iterates, improves and keeps building. Its networks don’t arrive pre-assembled, they grow over time. The Internet of Things (IoT) has amalgamated hardware and software to the internet to create a smarter world. It has been growing at a significant pace and offers a multitude of opportunities for government and business. In fact, the number of openings for IoT professionals is at an all-time high. So, it is the best time to begin exploring the true potential of this technology. Because with IoT, the future is now! Now that you have gone through our IoT Tutorial blog, you can check out Edureka’s IoT Training Using Azure. As per the Cisco report, IoT will generate $14.4 trillion in value across all industries in the next decade.  All of this will lead to better job opportunities. Edureka’s IoT Certification Training aims at covering all these new concepts around the Enterprise IoT Application Development.   Got a question for us? Please mention it in the comments section and we will get back to you.
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Massive Online Open Course (MOOC) Market  2019-2026: Economic Performance Evaluation, Business Competition & CAGR
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The growth of the market for Massive Online Open Course (MOOC) Market is driven by the high rise of the use of IoT and cloud computing in devices.
The Massive Online Open Course (MOOC) is a process of software engineering that helps to process, design and implement various Q/A testing and debugging. The more advanced test quality conditions and the fast processing time are some of the factors for market growth. It involves applications like the IoT and cloud computing which are other added factors responsible for the growth. High demand for IoT and cloud computing devices due to the ease of access by the users are the major driving force of the market.
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The Massive Online Open Course (MOOC) market analysis is intended to provide all participants and vendors with pertinent specifics about growth aspects, roadblocks, threats, and lucrative business opportunities that the market is anticipated to reveal in the coming years. This intelligence study also encompasses the revenue share, market size, production capacity, and rate of consumption to draw insights pertaining to the rivalry to gain control of a large portion of the market share.
Leading Players in the Massive Online Open Course (MOOC) Market:
Canvas Networks Inc., edX Inc., Udacity Inc., Coursera Inc., Udemy Inc., Intellipaat, Edureka, Khan Academy, Pluralsight, and FutureLearn, among others.
Competitive landscape
The Massive Online Open Course (MOOC) Industry is extremely competitive and consolidated because of the existence of several established companies that are adopting different marketing strategies in order to increase their market share. The vendors engaged in the sector are outlined based on price, quality, brand, product differentiation, and product portfolio. The vendors are gradually expanding their focus on product personalization by way of customer interaction.
Massive Online Open Course (MOOC) Market segment by Regions/Countries: United States, Europe, China, Japan, Southeast Asia, India, Central & South America.
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Type Outlook (Revenue, USD Million; 2016-2026)
xMOOC
cMOOC
Provider Type Outlook (Revenue, USD Million; 2016-2026)
Private Company
University
Government
Subject Type Outlook (Revenue, USD Million; 2016-2026)
Engineering & Technology
Business Management
Science
Humanities & Social Sciences
Others
End-Users Outlook (Revenue, USD Million; 2016-2026)
High School Students
Undergraduates
Postgraduates
Corporates
Points Covered in The Report:
A. The pivotal aspects considered in the Global Massive Online Open Course (MOOC) Market report consist of the leading competitors functioning in the global sector.
B. The report also encompasses company profiles prominently positioned in the global market.
C. The production, sales, corporate strategies, and the technological capabilities of leading manufacturers are also contained within the report.
D. The driving factors for the growth of the Global Massive Online Open Course (MOOC) Market are explained exhaustively, along with an in-depth account of the end-users in the industry.
E. The report also explains critical application areas of the global sector, curating an accurate description of the market to the readers/users.
F. The report undertakes a SWOT analysis of the market. In the final section, the report features the opinions and views of the industry experts and professionals. The experts also evaluate the export/import policies that might be propelling the growth of the Global Massive Online Open Course (MOOC) Market.
G. The report on the Global Massive Online Open Course (MOOC) Market delivers valuable information for policymakers, investors, stakeholders, service providers, producers, suppliers, and organizations operating in the industry and looking to purchase this research document.
Reasons for Buying Massive Online Open Course (MOOC) Market Report:
A. The report performs an analysis of the dynamic competitive landscape that can help the reader/client move ahead in the global sector.
B. It also presents an in-depth view of the different factors driving or restraining the growth of the global market.
C. The Global Massive Online Open Course (MOOC) Market report provides an eight-year forecast derived on the basis of the potential growth of the market.
D. It helps formulate profitable business decisions by offering thorough insights into the global market and by creating a comprehensive analysis of pivotal market segments and sub-segments.
Access full Report Description, TOC, Table of Figure, Chart, etc. @ https://www.reportsanddata.com/report-detail/massive-online-open-course-mooc-market
Thanks for reading this article; you can also customize this report to get select chapters or region-wise coverage with regions like Asia, United States, Europe, etc.
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dalipeus-blog · 4 years
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Good morning guys! This is a very interesting video to introduce you our theme. We hope you enjoy it.
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ramdgtalmarktng · 5 years
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Top 10 Software courses will surely change your career in 2019
These 10 fields are currently growing very popular and will soon need skilled employees. Take up courses in these 10 fields and you are sure to climb the career ladder fast in future
he relationship between business and technology is constantly evolving. Organisations face new challenges while new technology is working overtime to support business goals. The right technology can launch businesses to a higher level of performance and achievement. Thus, certain upcoming fields are growing very fast and can prove to be great career fields if one chooses to take up courses in the same.
In technology, the prospects look exciting and some unexpected trends arise while old-timers merge with each other to enhance the overall impact. This year, we expect exponential changes in every area of technology.
Machine learning, and artificial intelligence will alter most industries, making way for virtual helpers and myriad cases for automatisation. We see huge potential for smart homes and smart cities, through the implementation of Internet of Things (IoT).
To keep pace with these trends and ensure that one’s career is advancing in the right direction, IT professionals need to strongly consider upskilling themselves in new technology areas.
They can look at effective e-learning platforms to master trending technologies of 2019 without going through the strain of getting to a physical classroom.
These 10 technology fields will rise high in 2019 and will prove to be great career paths:
1. Artificial Intelligence
Artificial Intelligence is one of the top fields of study that is rising fast in popularity and requirement.
Well, everyone knows a tad bit about Artificial Intelligence. As science fiction starts to become reality, AI products are slowly infiltrating our homes and workplaces.
Introduced by John Mccarthy in 1952, the idea behind AI is to mimic a human brain and to create a machine that has the power to think, analyse and make decisions of its own.
While we might think that AI is at least a few years away from causing any substantial effects on our lives, the fact remains that it is already having an enormous impact on us.
If you are using a smartphone now, you are interacting with AI whether you know or not. From the obvious AI features such as the built-in smart assistants to the portrait mode in the camera, AI is impacting our lives every day.
One of the biggest users of artificial intelligence is the online ad industry which uses AI not only to track user statistics but also serve us ads based on those statistics. Artificial intelligence is affecting our decisions and our lifestyles every day.
2. DevOps
It is a software development strategy which bridges the gap between the Dev and Ops side of an organization, for seamless delivery of software. It was introduced because there were limitations in the traditional model.
There is a need to release small features more frequently and without DevOps it is not possible.
Best DEVOPS with AWS Training in Hyderabad With Certification, Live Classes – 1-on-1 Industry Mentorship – Hands-on Exercises
To understand various DevOps tools, one needs to study the scripting language, infrastructure code etc.
3. Cybersecurity
With the rising cases of cyber threats, cybersecurity is a much-needed career field now.
Keeping in mind recent data breaches that have been committed in the tech industry, the Global Data Protection Regulations were revamped.
This has, in turn, resulted in an increase in demand for cybersecurity personnel who can cope with the changes and keep a company free of any sort of compliance issue.
Regardless of recent events, cybersecurity is an evergreen field and working personnel are always kept on their toes so that they can constantly keep updating themselves about the latest creative attacks that are being formulated every day, so that any sort of compromise in security can be mitigated.
Also Find Few trending courses on demand for you and your friends
Advanced Google Analytics Training
Best Google Tag Manager (GTM) Training course
SAP HCM SuccessFactors Training in Hyderabad
asp .net with c# course training in Hyderabad
4. Augmented Analytics
While some may call it augmented analytics, others may call it Smart Data Discover, but at its core, it involves the integration of BI and AI to automate the processes of finding data, preparing for analysis and generating insight.
It identifies trends and explains what these practically mean for business through clear visualizations and neatly packaged trends.
The purpose here isn’t to replace the decision-making system, but to support it. One feature of augmented analytics that sets it apart from other technologies is its ability to carry out natural language generation which unpacks complex jargon and provides simple insights.
Users can also go beyond opinion to get insights and act on data quickly and accurately.
5. 5G Network
With much anticipation to roll out across the world in the coming years, 5G network is the latest iteration of cellular technology.
This will be the next generation of mobile internet connectivity which is a combination of cutting-edge network technology and research.
They offer faster speeds and more reliable connections on smartphones and other devices.
These networks will give a good start to the Internet of Things and will have an average download speed of 20GBps per second.
6. Autonomous Things
Today, intelligent behaviour can be replicated and even the non-living can be empowered with self-capable features.
Autonomous Things take the advancement of Machine Learning a step further based on AI and IOT, to enable complex decision making autonomously in devices and objects.
It can enhance any object in our surrounding to think and respond by themselves.
This technology will be commercially relevant technology in 2019 and envisions to make self-driven vehicles, drones and robots a common reality by 2020.
7. Digital Twins
While the concept of a Digital Twin has been there since 2002, it is only thanks to the Internet of Things that it has become cost-effective to implement.
A digital twin is an integrated multiphysics, multiscale, probabilistic simulation of an as-built vehicle or system that uses the best available physical models, sensor updates, fleet history etc. to mirror the life of its corresponding flying twin.
For example, how do you operate, maintain, or repair systems when you aren’t in physical proximity with them? That was a challenge NASA’s research department had to face when developing systems that would travel beyond the ability to see or monitor physically.
This pairing of the physical and virtual worlds allows analysis of data and monitoring of systems to head off problems even before they occur and plan using simulations.
8. Edge Computing
Today billions of devices are producing data at an explosive pace, stressing the limits of modern data centres and networks.
To tackle this challenge, organizations are taking pressure off their centralized data centre’s through edge computing solutions.
Edge computing is basically pushing the frontier of computing applications, data and services away from centralized nodes to the edge of a network.
By moving data centres to the edge of the network closer to consumers, it speeds storage, processing, and analytics of data nearby, before sending it back to the centralized data centre.
This ultimately drives better performance, faster response time and greater innovation
9. Quantum Computing
These are machines in new avatars that promise an exponential growth spurt in processing power, capable of tackling problems which our computer can’t solve today.
Over 50 years of advancement in mathematics, material science, and computer science have transformed quantum computing from theory to reality.
Tech giants like IBM and Google and start-ups like Righetti Computing are in a scientific race to build the first universal quantum computer.
Quantum computers can analyse large quantities of data and spot patterns quickly, they could tackle optimization problems for transportation and industry, advance climate modelling and boost artificial intelligence research one day.
Quantum computers are still in the experimental stage, but their raw potential is sure to cause a paradigm shift in computing physics and potentially our understanding of the world today
10. Immersive Experience
Immersive experience basically integrates augmented reality and virtual reality. For example, what if we can create digital environments for human to experience the impossible?
Through a mix of data science, artificial intelligence, and creativity, virtual and augmented reality offers opportunity to train and plan in a safe environment, without consequences.
From battlefield simulations to hospital management scenarios, this technology better prepares a team for mission success.
To make a truly transportive experience, audiences crave the sensory richness we would find in the real world around us-not only visually-but in the care and attention to sound, scale and the imagined world off-stage.
Equip yourself with Edureka’s live, online technology courses that offer you the flexibility to learn at your own pace, so that you can work as well as upskill at the same time. Make 2019 your year take a career leap or qualify for the dream job you always wanted
-Article Credit goes to indiatoday.in
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AI-ML Live - 2 | Artificial Intelligence with Python | Artificial Intelligence Tutorial | #edureka #machinelearning #ArtificialIntelligence #IoT #OnlineTraining #TrendingTechnologies #Python #ML ----------------------------------------------Why Machine Learning & AI? Because of the increasing need for intelligent and accurate decision making, there is an exponential growth in the adoption of AI and ML technologies.
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faizrashis1995 · 5 years
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What is Big Data? – A Beginner’s Guide to the World of Big Data
There is no place where Big Data does not exist! The curiosity about what is Big Data has been soaring in the past few years. Let me tell you some mind-boggling facts! Forbes reports that every minute, users watch 4.15 million YouTube videos, send 456,000 tweets on Twitter, post 46,740 photos on Instagram and there are 510,000 comments posted and 293,000 statuses updated on Facebook!
Just imagine the huge chunk of data that is produced with such activities. This constant creation of data using social media, business applications, telecom and various other domains is leading to the formation of Big Data.
In order to explain what is Big Data, I will be covering the following topics:
Evolution of Big Data
Big Data Defined
Characteristics of Big Data
Big Data Analytics
Industrial Applications of Big Data
Scope of Big Data
Evolution of Big Data
Before exploring what is Big Data, let me begin by giving some insight into why the term Big Data has gained so much importance.
When was the last time you guys remember using a floppy or a CD to store your data? Let me guess, had to go way back in the early 21st century right? The use of manual paper records, files, floppy and discs have now become obsolete. The reason for this is the exponential growth of data. People began storing their data in relational database systems but with the hunger for new inventions, technologies, applications with quick response time and with the introduction of the internet, even that is insufficient now. This generation of continuous and massive data can be referred to as Big Data. There are a few other factors that characterize Big Data which I will be explaining later in this blog.
Forbes reports that there are 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating. Internet of Things(IoT) is one such technology which plays a major role in this acceleration. 90% of all data today was generated in the last two years.
What is Big Data | Big Data Analytics | Edureka
Big Data Definition
What is Big Data?
So before I explain what is Big Data, let me also tell you what it is not! The most common myth associated with Big Data is that it is just about the size or volume of data. But actually, it’s not just about the “big” amounts of data being collected. Big Data refers to the large amounts of data which is pouring in from various data sources and has different formats. Even previously there was huge data which were being stored in databases, but because of the varied nature of this Data, the traditional relational database systems are incapable of handling this Data. Big Data is much more than a collection of datasets with different formats, it is an important asset which can be used to obtain enumerable benefits.
The three different formats of big data are:
Structured: Organised data format with a fixed schema. Ex: RDBMS
Semi-Structured: Partially organised data which does not have a fixed format. Ex: XML, JSON
Unstructured: Unorganised data with an unknown schema. Ex: Audio, video files etc.
Characteristics of Big Data
These are the following characteristics associated with Big Data:
Five V's of Big Data - What is Big Data - Edureka
The above image depicts the five V’s of Big Data but as and when the data keeps evolving so will the V’s. I am listing five more V’s which have developed gradually over time:
Validity: correctness of data
Variability: dynamic behaviour
Volatility: tendency to change in time
Vulnerability: vulnerable to breach or attacks
Visualization: visualizing meaningful usage of data
Big Data AnalyticsNow that I have told you what is Big Data and how it’s being generated exponentially, let me present to you a very interesting example of how Starbucks, one of the leading coffeehouse chain is making use of this Big Data.
I came across this article by Forbes which reported how Starbucks made use of Big Data to analyse the preferences of their customers to enhance and personalize their experience. They analysed their member’s coffee buying habits along with their preferred drinks to what time of day they are usually ordering. So, even when people visit a “new” Starbucks location, that store’s point-of-sale system is able to identify the customer through their smartphone and give the barista their preferred order. In addition, based on ordering preferences, their app will suggest new products that the customers might be interested in trying. This my friends is what we call Big Data Analytics.
Big Data Training
Basically, Big Data Analytics is largely used by companies to facilitate their growth and development. This majorly involves applying various data mining algorithms on the given set of data, which will then aid them in better decision making.
There are multiple tools for processing Big Data such as Hadoop, Pig, Hive, Cassandra, Spark, Kafka, etc. depending upon the requirement of the organisation.
Big Data Tools - What is Big Data - Edureka
Big Data Applications
These are some of the following domains where Big Data Applications has been revolutionized:
Entertainment: Netflix and Amazon use Big Data to make shows and movie recommendations to their users.
Insurance: Uses Big data to predict illness, accidents and price their products accordingly.
Driver-less Cars: Google’s driver-less cars collect about one gigabyte of data per second. These experiments require more and more data for their successful execution.
Education: Opting for big data powered technology as a learning tool instead of traditional lecture methods, which enhanced the learning of students as well aided the teacher to track their performance better.
Automobile: Rolls Royce has embraced Big Data by fitting hundreds of sensors into its engines and propulsion systems, which record every tiny detail about their operation. The changes in data in real-time are reported to engineers who will decide the best course of action such as scheduling maintenance or dispatching engineering teams should the problem require it.
Government: A very interesting use of Big Data is in the field of politics to analyse patterns and influence election results. Cambridge Analytica Ltd. is one such organisation which completely drives on data to change audience behaviour and plays a major role in the electoral process.
Scope of Big Data
Numerous Job opportunities: The career opportunities pertaining to the field of Big data include, Big Data Analyst, Big Data Engineer, Big Data solution architect etc. According to IBM, 59% of all Data Science and Analytics (DSA) job demand is in Finance and Insurance, Professional Services, and IT.
Rising demand for Analytics Professional: An article by Forbes reveals that “IBM predicts demand for Data Scientists will soar by 28%”. By 2020, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 according to IBM.
Salary Aspects: Forbes reported that employers are willing to pay a premium of $8,736 above median bachelor’s and graduate-level salaries, with successful applicants earning a starting salary of $80,265
Adoption of Big Data analytics: Immense growth in the usage of big data analysis across the world.[Source]-https://www.edureka.co/blog/what-is-big-data/
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speedylightheart · 4 years
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Digital Education Market 2020 Global Trends, Key Players, Share, Growth
Digital Education Market 2020 Global Trends, Key Players, Share, Growth, Analysis, Opportunities And Forecast To 2025
Global Digital Education market is valued at USD 172.35 Billion in 2018and expected to reach USD 319.75 Billion by 2025 with the CAGR of 9.23 %over the forecast period.  
Proliferations of connected devices in the education sector and adoption of eLearning solutions are some of the factors which are driving the growth of Digital Education Market
Global Digital Education Market is the innovative use of digital tools and technologies during teaching and learning and is usually mentioned as technology enhanced learning (TEL) or e-Learning. The use of digital technologies gives educators the opportunity to design engaging learning opportunities in the courses they teach, and can take the form of blended or fully online courses and programmes. Digital learning is extending learning opportunities so one can leverage the actual fact that learning happens repeatedly and in many places and digital learning will enable this diverse learning opportunity. Digital learning is an instructional training that ultimately helps students. It makes use of a broad range of technology-enhanced educational strategies. It includes blended learning, flipped learning, personalized learning, and other strategies that rely on digital tools to little or large degree.
Global Digital Education Market report is segmented on the basis of component, learning types, end user and regional& country level. Based upon component digital education market is classified as hardware, software and services. Software is subdivided into interactive displays and interactive projectors. Hardware is subdivided into integrated solution and standalone solution. And also services are subdivided into consulting, implementation and support and maintenance. Based upon learning types digital education market is classified into synchronous learning and asynchronous learning. Based upon end users digital education market is classified into academic and enterprise.
The regions covered in this Global digital education market report are North America, Europe, Asia-Pacific and Rest of the World. On the basis of country level, market of digital education is sub divided into U.S., Mexico, Canada, UK, France, Germany, Italy, China, Japan, India, South East Asia, GCC, Africa, etc.
Digital Education Companies
Coursera (US)
edX (US)
Pluralsight (US)
Edureka (India)
Alison (Ireland)
Udacity (US)
Udemy (US)
Miríadax (Spain)
Jigsaw Academy (India)
iversity (Germany)
Intellipaat (India)
Edmodo (US)
FutureLearn (UK)
LinkedIn (US)
NovoEd (US)
XuetangX (China)
Federica EU (Italy)
Linkstreet Learning (India)
Khan Academy (US)
Kadenze (Spain)
others.
Proliferations of connected devices in the education sector and adoption of eLearning solutions are some of the factors which are driving the growth of Digital Education Market
Proliferations of connected devices in the education sector and adoption of eLearning solutions are some of the factors which are driving the growth of Digital Education Market. Online communication is type of teaching one individual (instructor) takes a lead role in the learning process by giving instructions to other learners. In 2017, 27 billion devices were connected using IoT. This number is expected to increase to 125 billion by just 2030, which will put about 15 connected devices into the hands of every consumer. The USD170 billion IoT market is expected to grow to USD561 billion by 2022. Several corporate organizations follow the synchronous learning training process to train their employees, wherein experienced employees usually take the role of the instructor, while comparatively less experienced employees take the role of a learner. For example, Teksun has developed an eLearning portal that provides a personalized, convenient and affordable training course for working professionals and students. It also assists its company to decrease cost with license fee on the off the shelf courses. Their eLearning a solution make modifies simply to suit changing business objectives. However, challenges with increased availability of open educational resources, might hamper market growth. Technological advancements such as virtual classrooms represent significant opportunity in near future for the companies that are currently offering online learning services.
North America is dominating the Digital Education Market
North America is expected to dominate the growth of Digital Education Market, due to increasing penetration of internet. Household subscriptions to television distribution services Footnote continued their gradual decline, with about three-quarters of households subscribing, while the percentage of households with Internet service increased slightly to 89.0%. Canadian households spent an average of USD233.00 per month on their communications services, an increase of USD10.17 (4.6%) from 2016. In comparison, the average annual inflation rate in Canada was 1.6% in 2017, according to Statistics Canada. Canadian households spent more per month on mobile USD 101.00 than on Internet services USD54.17, television distribution USD 52.58 and landline services USD 25.25. High usage of smartphones and focus of academic sector to digitize learning process in developed countries such as the U.S. and Canada is supporting the growth of North America Online Education market. Europe is expected to dominate the growth of Digital Education market, due to growing use of Artificial Intelligence (AI) and Machine Learning (ML) in smart learning.
Key Benefits for Global Digital Education market Reports –
Global market report covers in depth historical and forecast analysis.
Global market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market opportunities, Competitive Analysis, Regional and Country Level.
Global market report helps to identify opportunities in market place.
Global market report covers extensive analysis of emerging trends and competitive landscape.
Global Digital Education market Segmentation –
By component:-Hardware (Interactive Displays, Interactive Projectors), Software (Integrated Solution, Standalone Solution), Services (Consulting, Implementation, Support and Maintenance)
By learning types:- Synchronous Learning, Asynchronous Learning
By end users:- Academic, Enterprise
Regional & Country Analysis North America, U.S., Mexico, Canada , Europe, UK, France, Germany, Italy , Asia Pacific, China, Japan, India, Southeast Asia, South America, Brazil, Argentina, Columbia, The Middle East and Africa, GCC, Africa, Rest of Middle East and Africa
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