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12/06/2018 09:09 PM
Data Science - The Essence and the Influence
One common misconception among people about data science is that it is all about a single discipline. But the actual fact is that it is a blend of the various disciplines which are interconnected. Hence, it is interdisciplinary.
12/06/2018 09:08 PM
Data Science and Data Analytics - Importance and Need
Data science has revolutionized the world. We all are aware that there is something in data science that sets it apart and make being a data scientist one of the best jobs of the twenty first century. Importance of Data Science Data science can be used by companies to manage and extract various data from large pools of information.
12/06/2018 09:07 PM
Data Science - A Boon or Bare for Business?
INTRODUCTION: In general terms some of the facts, information sets or details used to plan, organize and analyze something is known as data. When knowledge is gained through some experiments and observations, it is science. The process by which skills can be learned for a specific aspect is training.
12/06/2018 09:07 PM
Data Science and How Data Scientists Adds Value to Business
Data science is a broad field that employs processes, concepts, tools, theories and technologies to enable the extraction and analysis of valuable data to obtain knowledge and information. Crucial decisions are made in business by using the managed data efficiently. A data scientist practices data science.
12/03/2018 12:29 PM
Data Science and Why Data Science Jobs Are High on Demand
Data Science deals with analysing hidden data. Data Scientists uncover peculiar insights to improve and make smarter business decisions. They try to understand the characteristics or patterns within the data.
12/03/2018 12:21 PM
Benefits of Pursuing Data Science As a Career
Data science deals with using the information obtained from the data extracted for making wise business decisions. Data Scientists take the structured and unstructured (messy) data and use their knowledgeable skills in statistics, mathematics and programming to manage them by cleaning and organizing. Then applying the analytical skills like contextual understanding, skepticism of existing assumptions, industrial knowledge to uncover hidden data.
12/03/2018 11:34 AM
Skills Required to Kick-Start Your Career in Data Science
Data science has a big impact on today's world. The field of data science uses mathematics, computer skills and most importantly, statistics. They use methods like machine learning, data mining, visualization and cluster analysis.
12/03/2018 11:24 AM
The Basics of Data Science You Should Know
What really is Data Science all about? It has become a buzz word as far as today's Information Technology world is concerned. This happens with a lot of technologies which people start talking about as a jargon with no understanding of what is meant by the technology, what falls in its scope and so on.
11/28/2018 03:12 PM
Why Is Data Science Certification Crucial for You?
Data Science happens to be one of the highly sought after skills in today's job market. This is reinforced by the seemingly unstoppable demand for these professionals. However, prior to you taking the plunge in getting the certification, it is imperative to know all the aspects of the landscape around it.
11/28/2018 03:12 PM
Intricacies of Machine Learning in Data Science
Machine learning served as APIs Machine learning is no longer just for geeks. Nowadays, any programmer can call some APIs and include it as part of their work. With Amazon cloud, with Google Cloud Platforms (GCP) and many more such platforms, in the coming days and years we can easily see that machine learning models will now be offered to you in API forms.
11/28/2018 03:11 PM
Data Science and Supervised Learning
Supervised learning explained Supervised learning is a sort of technique where you say that given a data from the past, that there are many attributes associated with that data set, you also have something called a label. Supervised learning creates a perception of an object which is reinforced by labeling the object helping in identifying not only the object but also its variability in the future. Learning as a kid So, for you, as if you were a kid learning to identify different kinds of fruits, for example.
11/28/2018 03:11 PM
Data Science Is Much More Than Playing With Raw Data
Data visualization Data visualization plays a very important part when it comes to communicating the results to the executives. You may have all your fancy formulae and other mechanics at coming to the results, but the executives want to see the results which make sense to them. From the raw data that you have from the various sources, you can get out with certain statistical properties and the sort of analysis that you do and that can then finally be represented in a really meaningful and very precise visual form.
11/28/2018 12:56 PM
Get to Know More About What a Data Science Job Entails
We have heard all about how difficult it is to manage big data. We have heard of parallel computing, which means Hadoop and Spark.
11/28/2018 12:56 PM
Data Science Basics You Should Know
It is a buzz word in today's IT world. It happens with many technologies that people start using it as a jargon without even understanding what it means, what comes in its purview and so on. We will discuss some such things in detail. The moment you talk about and especially when you talk about data science in today's context. Data Science has its multiple components. When you talk about components, you essentially talk of big data you talk of various roles that are in Data Science - what exactly is the role of a Data Scientist, what exactly is the role of the Data Curator, what exactly is the role of the Data Librarian and so on. In today's world when you talk about Data Science as a stream itself, it inherently has to deal with huge amounts of data.
11/27/2018 12:59 PM
What Data Science Is and What It Is Not!
Data Science is not about making complicated models. It is not about making awesome visualization. It is not about writing code. Data Science is about using data to create as much impact as possible for your company. Now impact can be in the form of multiple things. It can be in the form of insights. It can be in the form of data products or it can be in the form of product recommendations for your company. Now to do those things, then you need tools like complicated models or data visualizations or writing code. But essentially as a data scientist your job is to solve real problems your company is facing. And what kind of tools you use? No one cares. There is a lot of misconception about Data Science, especially if you go to YouTube. And the reason for this is because there is a huge misalignment between what is popular to talk about and what is needed in the industry. From a perspective of a Data Scientist actually working for a huge company, those companies really emphasis on using data to improve their products.