Category Archive: Data Science Courses

How Data Is Rendering Unrecognizable Change in Marketing

Business without data is like surviving without an iota of food and water. Data is indispensible. It plays a significant role in framing suave marketing campaigns, creatively, discerning the actual, productive channels to push data through them.

 
How Data Is Rendering Unrecognizable Change in Marketing
 

According to latest reports and analysis, nearly 42% of marketers have introduced more than ten solutions related to data analytics, marketing analysis or customer engagement technologies in a time span of 5 years, in which more than 9% marketers installed more than 20 solutions.

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Master These Piping Hot Data Analytics Techniques and Stay Ahead of the Curve [Video]

Big Data, Business Intelligence, Data Science – the digital revolution is here, and it’s evolving steadfastly.

 
Master These Piping Hot Data Analytics Techniques and Stay Ahead of the Curve [Video]
 

Soon, data analytics is becoming the life-source of IT. The range of technologies is varied, and the way data is expanding, we are fast moving towards a juncture where analysis of vast volumes of data will be done in a jiffy.

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Why Data Science Matters More Than Data Scientists?

More is always better, isn’t it? But does it always holds true, especially when it comes to customer data? Maybe not, because business is all about extracting meaningful insights from data, and if that cannot be acted upon then it is of no good.

 
Why Data Science Matters More Than Data Scientists?
 

Recently, Accenture concluded that one of the greatest challenges that marketers face nowadays is to discover the right ways to turn data into productive insights and then into action. For that, you would need analytics professionals who do know how to collect, store and integrate information, while mastering the technology aspect.

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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.

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

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.

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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

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!

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

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:

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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.

 
Bringing Back Science into “Data Science”
 

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.

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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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