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Internet of Things: It’s Much More Than What It Appears to Be

Internet of Things: It’s Much More Than What It Appears to Be

What’s all the hype about “the next big thing”? Have you got it yet? Nope? It’s not owing to a lack of imagination, but an observation.

Currently, the Internet of Things is the big buzz. It’s all about enhancing machine-to-machine communication – being structured on cloud computing and systems of data-gathering sensors, the connection is entirely virtual, mobile and instantaneous.

Big Data And The Internet Of Things – @Dexlabanalytics.

What is IoT?

In simple terms, the concept of IoT stresses on connecting any device with the Internet – including cellphones, headphones, washing machines, lamps, coffee makers, wearable devices and almost anything that comes in your mind. The IoT is a colossal network of connected Things (inclusive of people) – the famous analyst firm Gartner says by 2020 there will be more than 26 billion connected devices in this world.

Explaining the Everlasting Bond between Data and Risk Analytics – @Dexlabanalytics.

What makes it so popular?

As we now know, IoT is a network of things and people, where communication takes place through numerous wireless and wired technologies and it comes with a wide set of advantages. Following are some of the advantages of this new breed of technology:

A better, less-complicated life

Imagine a life, where what you seek will be delivered to you right away, before you even ask for it. It may appear to you that you are dropped right into a scene from your favorite sci-fi movie or novel – the moment your morning alarm starts ringing, your bathtub automatically starts getting filled with hot water; when you leave your home, the lights get turned off automatically and doors lock itself on its own; your car takes you to the office through the less-congested roadway and when you return home, your home lights automatically start to switch on and lastly your air conditioner adjusts the temperature of your room once you are ready to hit the bed. Proper use of IoT makes your life easier and effortlessly simple.

Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade – @Dexlabanalytics.

Less accident, better safety

How would it be if for an example you get a heart attack while driving back home and your smartwatch detects it and deploys autopilot mode in your car so that it straightaway takes you directly to the nearest hospital? On the way, your cellphone can dial up the hospital staffs and inform them about the current condition of the patient to help you get the best treatment possible.

Harnessing the power of data

Utilizing the power of data is awesome. Harnessing data to simplify things is the next best thing in today’s world. Living a life straight out of sci-fi movies is awesome, but practically, there’s still some time left for IoT to become a hardcore reality. Once IoT makes its way into our lives, a set of smart devices powered by sensors will take charge and make almost everything possible – whether it’s switching on the AC automatically when a person enters the room or driving a car to a destination without any driver.

IoT helps in taking better decisions in the best interest for businesses

Beyond making your lives easier, IoT possesses a bunch of capabilities – it’s a robust technology that collects the most valuable resource, i.e. data. Data helps businesses take better, well-informed decisions. 

Of all the recent technological developments, Internet of Things is considered to be one of the biggest trends to watch out for. In the next 5 years, it’s going to change lives forever!

To know more about the Internet of Things and more such digital trends, why don’t you settle for a good business analytics course in Delhi! DexLab Analytics is a premier Data Science training institute Gurgaon that offers hands-on experience to students alike.

 

Interested in a career in Data Analyst?

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Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade

Data analytics is evolving. Coupled with Big Data, it is changing the topography of almost everything.

 

Is Change the Only Constant: How Analytics has Changed, while Staying the Same Over the Last Decade

 

Each year, more and more companies are allocating their time and budget to exploit and understand vast pools of data strewn across them, both inside and outside company files. Of course, Big Data and Analytics is selling like a hot cake today, but what is its story of evolution? How the technology flourished 10 years back?

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Embedded Analytics: How it’s Revolutionizing Businesses Today?

Embedded Analytics: How it’s Revolutionizing Businesses Today?

 

Analytics is the key to modern business growth. But, developing it as a highly interactive analytical interface is challenging enough to exhaust the time and resources both. As a result, many businesses are shifting their focus to Embedded Analytics (EA) for their operations, workflows and decision-making capabilities. This new breed of analytics, known as Embedded Analytics helps businesses leverage the power of data to process them in the most useful manner.

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Discover the Best Industries to Have a Career in Data Science

Discover-the-Best-Industries-to-Have-a-Career-in-Data-Science

Data fires up everything, nowadays. And data science is gaining exceptional traction in the job world, as data analytics, machine learning, big data, and data mining are fetching relevance in the mainstream tech world. By 2025, it is being expected that data science industry will reach $16 billion in value – this is why landing a job in data science domain is the next big thing!

The skills you will imbibe as a data scientist would be incredible, powerful and extremely valuable. You can easily a bag a dream job in corporate moguls, like Coca-Cola, Uber, Ford Motors and IBM, as well as play a significant role in any pro-social or philanthropic endeavors to make this world a better place to live in.

Check out these extremely interesting fields you could start your career in data science:

Biotechnology

No wonder, science and medicine are intricately related to each other. As the technology pushes boundaries, more and more companies are recommitting themselves towards a better public health by nabbing biotechnology. Being a data scientist, you would help in unraveling newer ways of studying large amounts of data – including machine learning, semantic and interactive technologies. Eventually, they would influence treatments, drugs-usage, testing procedures and much more.

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Energy

Power industry functions on data – and tons of it. Whether it’s about extracting mineral wealth from the earth’s crust or transporting crude oil or planning better storage facilities, the demand for data scientists is on the rise. Just as expanding oil fields ask for humongous amounts of data study, installing and refining cleaner energy production facilities relies on data about the natural environment and ways of modern construction. Data scientists are often given a ring to enhance safety standards and help companies recommit themselves towards better safety and environmental regulations.

Transportation

Recently, transportation is undergoing a robust change. For example, Tesla paved a new road of development and turned countless heads by unveiling a long-haul truck that could drive on its own. Though it’s not the first time, they are prone to lead the change.

Beyond self-driving vehicle technology, the transportation industry is looking for more efficient ways to preserve and transport energy. These advancements in technology works wonders when combined with better battery technology development – in simple terms, every individual field in transportation industry is believed to benefit from a motley team of data scientists.

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Telecommunications

The internet is not only about tubes, but all about data. The future of the internet is here, with ever-increasing networks of satellites and user devices establishing communication through blockchain. Though they are yet to be used on large-scale, they have started making news. In situations like this, it would be difficult not to highlight the importance of data science and data architecture as they are becoming major influencers in the internet world. Whenever there is a dire need to make the public aware of a new product, we rely on user data – hence the role of data scientists is the key to a better future.

Today, data science is an interesting field to explore, and it is going to play an integral role as the stride in technology and globalization keeps expanding its base. If you have a keen eye for numbers, charts, patterns and analytics, this niche is perfectly suitable for you.

DexLab Analytics is a prime Data Science training institute Delhi that excels in offering advanced business analyst training courses in Gurgaon. Visit our official site for more information and make a mark in data analytics!

 

Interested in a career in Data Analyst?

To learn more about Data Analyst with Advanced excel course – Enrol Now.
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To learn more about Machine Learning Using Python and Spark – Enrol Now.
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Bringing Back Science into “Data Science”

Bringing Back Science into “Data Science”

Far from the conventional science disciplines, like physics or mathematics, Data Science is a budding discipline: which means there are no proper definition to explain what data science is and what role it does play.

Nevertheless, the internet is full of working definitions of data science. As per Wikipedia, Data Science is

(an) interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics.

To that note, a very important aspect is left behind in this explanation: Data Science is a science first, which means a proper scientific method should be devised to tackle different data science practices. By scientific method, we mean a healthy process of asking questions, collecting information, framing hypothesis and analyzing the results to draw conclusions thereafter.

Go below, the process breakup is as follows..

Ask questions

Start by asking what is the business problem? How to leverage maximum gains? What ways to implement to increase return on investment? The finance industry takes help from data science for myriad reasons. One of the most striking reasons is to enhance the return on investment out of marketing campaigns.

What Sets Apart Data Science from Big Data and Data Analytics – @Dexlabanalytics.

Collect data

A predictive modeling analyst has access to vast data resources, which eventually makes the entire research and gathering data process much less complex. However, it is only in theory, because rarely data is stored in the desired format an analyst wants, making his job easier.

Data Science – then and now! – @Dexlabanalytics.

Devise a hypothesis

After getting to the heart and soul of the problem, we start to develop hypotheses. For example, you believe your firm’s profit is leveraged by an optimistic customer reaction towards your product quality and positive advertising capabilities of your firm. Through this example, we explained a nomological network, where you are in a position to infer casualties and correlations. While dealing in Data Science, assessing customer perception is very crucial, and so is the analysis of financial datasets.

Data Science: Is It the Right Answer? – @Dexlabanalytics.

Testing and experiments

Formulating a hypothesis is not enough; a predictive modeler relies on statistical modeling techniques to forecast the future in a probabilistic manner. Keep a note, this doesn’t result in indicating “X will occur”, instead it refers “Given Y, the probability of X occurring is 75%.”

Any proper experiment includes control groups and test, meaning a modeler when preparing a predictive model should divide the dataset so as to ensure availability of few data for testing predictive equation.

Now, if we talk about marketing – consider logistic regression. It offers a probability whether a binary event of interest will take place or not.

Enroll in an R Predictive Modelling Certification program to go through the mechanics of this problem. Reach us at DexLab Analytics.

Tracing Success in the New Age of Data Science – @Dexlabanalytics.

Evaluate results and infer conclusions

Now is the time to make a decision: do you prefer the quantitative approach? As social media is totally unstructured, the qualitative approach needs to be implemented using Natural Language Processing, which can be a tad difficult. Now, how about making a longitudinal analysis, while transforming data into time series? Do all these questions rake your mind? Yes? Then you are on the right track.

Keep Pace with Automation: Emerging Data Science Jobs in India – @Dexlabanalytics.

Reporting of results

This is the final battle scene for all predictive modelers. It calls for all the documents, based on which a modeler made his decision during the development process. All the assumptions taken have to be identified and highlighted beside the results.

And with it comes the end of our Science in Data Science process!

For more interesting updates and blogs, follow us at DexLab Analytics. Opt for our impressive Data Science Courses in gurgaon and lead the road of success!

 

Interested in a career in Data Analyst?

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Top 2016 Trends Expected to Turn Fruitful in 2017

Top 2016 Trends Expected to Turn Fruitful in 2017

 

Since the start of this year, new development in the field of technology has been the hottest topic of discussion at several science symposiums. This blog post sheds some light on what can be expected for 2017, based on 2016 evolutions in Data Science and Machine Learning.

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3 Stages of a Reliable Data Science Solution to Attack Business Problems

Today, businesses are in a rat race to derive relevant intuition and make best use of their data. Several notable organizations are skimming with cutting edge data science terms and resolving intricate problems (some being more successful than others).

 

3 Stages of a Reliable Data Science Solution to Attack Business Problems

 

However, the crux lies in determining the present stage of data science your organization has embraced, followed by ascertainment of the desired level of data science.

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Quantum Internet Is Now Turning Into a Reality

Quantum Internet Is Now Turning Into a Reality
 

Scientists across the globe are looking forward towards formulating new methods to realize ‘quantum internet’, an unhackable internet, which connects particles linked together by the principle of quantum entanglement. In simple terms, quantum internet will entail multiple particles striking information at each other in the form of quantum signals – but specialists are yet to figure out what it actually does beyond that. The term ‘quantum internet’ is quite sketchy at this moment. There’s no real definition of it as of now.

Continue reading “Quantum Internet Is Now Turning Into a Reality”

Tracing Success in the New Age of Data Science

Each year, pronouncements are made. And each year, a particular job field rides high above the tides of fortune.
For 2017, Data Scientist jobs seem to be #1 Best Job in India. Several magazines and research associates have put Data Scientist jobs at #1 position. No wonder, data science jobs are the hottest jobs in today’s market, hopefully in future too.
So, how do you become a good data scientist? Affordable Data Science Training Course in Gurgaon is now available in India that too quite easily. DexLab Analytics is one such institute that offers state-of-the-art data science training facilities for young aspiring candidates.

Get hold of SAS skills

If you are aware of the top data science skills, you must have known that statistical analysis and data mining calls for SAS specialization. SAS plays an important role in all these disciplines. It has been the pioneer and the most reliable software suit, and for a long time enjoying the monopoly position.

However, since the advent of R and Python, the powerful open source competitors, it is true that the growth curve of SAS has been little but hampered. Nevertheless SAS skills still boast of astounding demand all over the world.

SAS training courses help you understand the nuances of data science. Nowadays, these training’s are not too difficult to find, myriad institutes offer online and classroom training for its students on a regular basis. It is no more too difficult to get a grip on the fundamentals of this subject matter.

The number speaks of positivity

It would be like mine 11th commandment – there is a shortage of data science jobs. It is being predicted that there could be a shortage of 200,000 data scientists by 2020, and this is for real. Indian market is an emerging economy, though data science may not be so famous here as it is in the US, yet I am proud to say that the importance of this field is on the rise.

The survey says – the global demand for data scientists grew by more than 50% in between 2014 and 2015, while the searches have increased by 73%.

The skills you require to possess

By analyzing a whole lot of LinkedIn job postings, we have come to a conclusion that there are 5 high-in demand skills that you need to master in order to ace in data analytics – SQL, Hadoop, Python, Java, and R. Apart from these five, you also need to be quite proficient in Data Visualization and statistics, and try to bring out your creative side to the front.

How much difficult is it to choose a data analytics course?

Make sure, you know what you want, very clearly. Prepare yourself well, before getting into any course. Experience matters, but before that you need encompassing training on the subject matter that can only be offered by a pioneering institute of data science. However, before investing money and your time, check properly if the curriculum satisfies your needs. The material needs to be crisp, to the point and in line with the current industry standards.

DexLab Analytics is a top-of-the-line data science training institute in Gurgaon, offering high-in demand courses on analytics. For any assistance, reach us.

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