Tag Archives: Data Science Courses in Noida

Televisory Launches Data Analytics & Operational Benchmarking Platform

Televisory Launches Data Analytics & Operational Benchmarking Platform
 

Televisory, a start-up based out of India and Singapore, has launched its data analytics and operational benchmarking platform. The platform can measure real-time operational and financial performance of companies. While the firm has chosen to launch its platform from the US, its services are available globally.

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Data Journalism: What is it and how it works

The internet has killed some newspapers’ lunch, but it also presented them something truly remarkable – Data Journalism.

 
Data Journalism: What is it and how it works

Introducing Data Journalism

Data journalism is an amalgamation of a nosy reporter’s news sniffing capabilities and a statistician’s fondness for data analysis. By scrounging through vast amounts of data sets that are available through extensive connectivity, data journalists are using this data to etch out interesting stories.

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The Tides Of Change Is Here: Accenture’s Bhaskar Ghosh Talks About AI, IoT and Big Data

With the Fourth Industrial Revolution looming ahead, many would think that we are already in a digital economy era. Well, somewhat it holds true even. There are countless new apps and software programmes that help people hail a cab, make reservations in a hotel or mop floors by using robotic technology. Smart machines have become really smart to do a plethora of highly adept jobs, which would have been a little bit difficult on the part of humans to perform.

 
The Tides Of Change Is Here: Accenture’s Bhaskar Ghosh Talks About AI, IoT and Big Data
 

“While technology has long been developed to serve specific business needs, we are now in an era where people are central to the design and development of technologies,” stated Bhaskar Ghosh, group chief executive, Accenture Technology Services. In a recent interview with a leading financial magazine, he talked over Accenture’s Technology Vision 2017 and gave snippets about the latest trends and innovations that have become a pre-requisite to achieve success in the more-than-ever digitised economy.

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Data Science – then and now!

  • Data Science = Statistics + Computer Science
  • emerges as a designation for stores of big data

 Data Science – then and now!

 

The following timeline traces the evolution of the term “Data Science”, along with its use, attempts to define it, and related terms:

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Cyber Security Today: Curing Big Mobile Security Holes with Small Steps

You have employees? And they bring smartphones to work? Is everything right? Or wrong?

 

Period.

 
Cyber Security Today: Curing Big Mobile Security Holes with Small Steps
 

The moment an employee carries a personal mobile device, be it a smartphone or a tablet, to work, a merger of personal and professional is bound to happen. And this could definitely give a rough time to the employer. If not handled properly.

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Harnessing Big Data for Water Management

Appalling forces are re-establishing the relationship between humans and water.

 

In the past, communities developed slowly, while the weather remained constant. Water sources never depleted at tumultuous rates as it has today. Water is no longer a dependable resource. That’s why many countries and cities are embracing smart technologies to manage water efficiently and preserve it for the coming generations.

 
World Water Day: Save Water with Big Data
 

As we observe the United Nations World Water Day on Wednesday, 22nd March, it is apt to assess the development being made in conserving this diminishing resource.

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Data Analytics for the Big Screen

Can the film industry leverage more on data analytics?

Film making as an industry is as dependent on good marketing as it is on good content.

 
Data Analytics for the Big Screen
 

And it is here that data analytics comes to the picture, for not only does it govern marketing strategies of a Studio but in future it might govern the creative half as well.

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Secrets To Clinch Victory in Global Data Science Competitions

Data scientists are often perceived as crazy IT nerds who would use formulas and algorithms to even determine how many teaspoons of sugar to put in their tea! Well, we would not argue about this, as much as stereotypical this may sound, but a data scientist feels a rush when he solves a problem with calculations, analysis and logic; a rush that incomparable to anything else.

 
Secrets To Clinch Victory in Global Data Science Competitions

 

Just as an avid gamer who plays COD (Call of Duty) or CS (Counter Strike) waits for WCG (World Cyber Games). A data analyst waits for – Datahack. People who are just crazy about machine learning wait for the whole year to participate in Datahack. For them this is Olympics of Data Analysis.

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The Beginners’ Guide to Data Science Jargon

Are you poised to join the ranks of c-suite data operatives working with the Big Word – Big Data? But before you set foot in the industry with the big players, you must train yourself how to talk the talk before you can walk the walk. Data science and analysis is a complex field as it is with mind-numbing numbers and lengthy algorithms and on top of that there is the jargon that is stranger than fiction in this field. So, to help you prepare your tongue right, here is our brief list of the most commonly used terminology in the data science industry. After you have the enlightenment of knowledge about these words, you will not need to be hesitant when hearing these words and silently think to yourself that, “This sounds data-related”.

 

The Beginners’ Guide to Data Science Jargon

 

Here is a list of data-related jargon to clear your doubts about from all over the Big Data spectrum:

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Quantitative Analysis 1 – Five Number Summary

To be a successful analyst or be a part of great analytics team, there are 3 important dimensions one would aspire to be or have. They are technical, business and tools. Hence, we would begin with one of the sub dimension of the technical skills, i.e. being quantified self or developing quantitative skills.

 Quantitative Analysis 1 – Five Number Summary

As per the Informs, the definition of Analytics shall be:

 

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