George  Koelpin

George Koelpin

1599625800

Skills And Complete Roadmap for getting into Data Science 

Abstract:

I’ll be outlining a full curriculum for learning data science from scratch in the following series of blogs. These are all skills that I have been studying for the past few years on my own personal journey and will continue to learn as I step into more advanced data science.

Part 1: Skills And Complete Roadmap for getting into Data Analytics — Part 1

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Career Guide and roadmap for Data Science and Artificial Intelligence &and National & International Internship’s, please refer :

Tech Aspirants 07

Data science is an interdisciplinary discipline that takes advantage of scientific techniques, processes, algorithms, and systems to derive information and insights from both hierarchical and unstructured data. Data science has much to do with data processing, machine learning, and big data.

#data-science-marketer #machine-learning #data-science #towards-data-science #data-science-training

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Skills And Complete Roadmap for getting into Data Science 
Uriah  Dietrich

Uriah Dietrich

1618449987

How To Build A Data Science Career In 2021

For this week’s data science career interview, we got in touch with Dr Suman Sanyal, Associate Professor of Computer Science and Engineering at NIIT University. In this interview, Dr Sanyal shares his insights on how universities can contribute to this highly promising sector and what aspirants can do to build a successful data science career.

With industry-linkage, technology and research-driven seamless education, NIIT University has been recognised for addressing the growing demand for data science experts worldwide with its industry-ready courses. The university has recently introduced B.Tech in Data Science course, which aims to deploy data sets models to solve real-world problems. The programme provides industry-academic synergy for the students to establish careers in data science, artificial intelligence and machine learning.

“Students with skills that are aligned to new-age technology will be of huge value. The industry today wants young, ambitious students who have the know-how on how to get things done,” Sanyal said.

#careers # #data science aspirant #data science career #data science career intervie #data science education #data science education marke #data science jobs #niit university data science

Sid  Schuppe

Sid Schuppe

1618370462

Level Up 7 Data Science Skills Through YouTube

We are all familiar with the modern game design, that champions or heroes are always equipped with certain attributes and specialties. For example, Dota heroes are scored based on the aspects of agility, intelligence, and strength. To excel on the battlefield, the hero needs to have above-average scores among all attributes while additionally specialized in at least one.
So what if we think of learning data science as playing a game where all of us possess multi-dimensional abilities. Playing video games demands constantly sharpening our skills with weapons, training, or magic potion. This resembles us learning through reading, tutorials, and of course those YouTube learning resources mentioned later in this article.
First of all, let’s walk through seven essential skills that guarantee your wins in the data science game.

#data-science-training #learn-data-science #data-science-skills #data-science-resources #data-science

Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

George  Koelpin

George Koelpin

1599625800

Skills And Complete Roadmap for getting into Data Science 

Abstract:

I’ll be outlining a full curriculum for learning data science from scratch in the following series of blogs. These are all skills that I have been studying for the past few years on my own personal journey and will continue to learn as I step into more advanced data science.

Part 1: Skills And Complete Roadmap for getting into Data Analytics — Part 1

Image for post

Career Guide and roadmap for Data Science and Artificial Intelligence &and National & International Internship’s, please refer :

Tech Aspirants 07

Data science is an interdisciplinary discipline that takes advantage of scientific techniques, processes, algorithms, and systems to derive information and insights from both hierarchical and unstructured data. Data science has much to do with data processing, machine learning, and big data.

#data-science-marketer #machine-learning #data-science #towards-data-science #data-science-training

'Commoditization Is The Biggest Problem In Data Science Education'

The buzz around data science has sent many youngsters and professionals on an upskill/reskilling spree. Prof. Raghunathan Rengasamy, the acting head of Robert Bosch Centre for Data Science and AI, IIT Madras, believes data science knowledge will soon become a necessity.

IIT Madras has been one of India’s prestigious universities offering numerous courses in data science, machine learning, and artificial intelligence in partnership with many edtech startups. For this week’s data science career interview, Analytics India Magazine spoke to Prof. Rengasamy to understand his views on the data science education market.

With more than 15 years of experience, Prof. Rengasamy is currently heading RBCDSAI-IIT Madras and teaching at the department of chemical engineering. He has co-authored a series of review articles on condition monitoring and fault detection and diagnosis. He has also been the recipient of the Young Engineer Award for the year 2000 by the Indian National Academy of Engineering (INAE) for outstanding engineers under the age of 32.

Of late, Rengaswamy has been working on engineering applications of artificial intelligence and computational microfluidics. His research work has also led to the formation of a startup, SysEng LLC, in the US, funded through an NSF STTR grant.

#people #data science aspirants #data science course director interview #data science courses #data science education #data science education market #data science interview