Building a Personal Data Science / Analytics Brand Online

The whole brand question has been on my mind for a while now. Whenever people ask me for data science career advice, I almost reflexively tell them to build an online presence. I’ll be honest, I feel the jury is kind of out on the magnitude of impact an online presence has, but I feel it’s definitely worth trying.

The way I think about building a brand is the way I think about cover letters. Will it propel you past the competition? Probably not. But it will give you a slight advantage over some people. These **aren’t **proven numbers, but it’s kind of my reasoning:

Theoretically, if the E[X] of getting any given role you apply to is 2%, having a cover letter could raise your chances to something like 2.2%. Having an online presence could raise that further to 2.5%. Overall it’s not a huge rise in absolute probability, but compared to your original 2%, it’s 25% higher. Again, those aren’t real numbers. The magnitude could very well be way smaller or way bigger. This would be a cool question to study with access to the right data.

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Some places to start, in (loose) order of importance

1. LinkedIn

The one that should go without saying, but I’m going to say it anyway. Having a LinkedIn is not only crucial for building a brand, it’s just a fantastic thing to have regardless of your profession. You have access to virtually any professional community you can think of, build a network of people that will see your posts, and have a free and already huge venue to post your accomplishments. Setting one up is fast too.

Just remember to change your LinkedIn URL to something easy to spell. Here’s how:

Go to your profile → “Edit public profile & URL” → “Edit your custom URL”

#career-advice #data-science #data-visualization #branding #data analysis

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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

What Are The Advantages and Disadvantages of Data Science?

Data Science becomes an important part of today industry. It use for transforming business data into assets that help organizations improve revenue, seize business opportunities, improve customer experience, reduce costs, and more. Data science became the trending course to learn in the industries these days.

Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. In online Data science course you learn how Data Science deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.

Advantages of Data Science:- In today’s world, data is being generated at an alarming rate in all time lots of data is generated; from the users of social networking site, or from the calls that one makes, or the data which is being generated from different business. Because of that reason the huge amount of data the value of the field of Data Science has many advantages.

Some Of The Advantages Are Mentioned Below:-

Multiple Job Options :- Because of its high demand it provides large number of career opportunities in its various fields like Data Scientist, Data Analyst, Research Analyst, Business Analyst, Analytics Manager, Big Data Engineer, etc.

Business benefits: - By Data Science Online Course you learn how data science helps organizations knowing how and when their products sell well and that’s why the products are delivered always to the right place and right time. Faster and better decisions are taken by the organization to improve efficiency and earn higher profits.

Highly Paid jobs and career opportunities: - As Data Scientist continues working in that profile and the salaries of different position are grand. According to a Dice Salary Survey, the annual average salary of a Data Scientist $106,000 per year as we consider data.

Hiring Benefits:- If you have skills then don’t worry this comparatively easier to sort data and look for best of candidates for an organization. Big Data and data mining have made processing and selection of CVs, aptitude tests and games easier for the recruitment group.

Also Read: How Data Science Programs Become The Reason Of Your Success

Disadvantages of Data Science: - If there are pros then cons also so here we discuss both pros and cons which make you easy to choose Data Science Course without any doubts. Let’s check some of the disadvantages of Data Science:-

Data Privacy: - As we know Data is used to increase the productivity and the revenue of industry by making game-changing business decisions. But the information or the insights obtained from the data may be misused against any organization.

Cost:- The tools used for data science and analytics can cost tons to a corporation as a number of the tools are complex and need the people to undergo a knowledge Science training to use them. Also, it’s very difficult to pick the right tools consistent with the circumstances because their selection is predicated on the proper knowledge of the tools also as their accuracy in analyzing the info and extracting information.

#data science training in noida #data science training in delhi #data science online training #data science online course #data science course #data science training

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

2020 Best Online Masters in Analytics, Business Analytics, Data Science – Updated

The current pandemic has profoundly changed many things, but the demand for AI and Data Science education has not decreased. What has changed is that move to online education has accelerated.

Many more universities now offer online degrees, including in AI, Data Science, and Machine Learning, so we have limited this directory mostly to universities that have Top Universities CS Rankings. Many thanks to Asel Mendis for collecting most of the data used in this blog.

We published a similar list in 2017 and in 2019.

Here is our 2020 directory of the best online Master Degree programs for AI, Business Analytics, Data Analytics, Data Science and Machine Learning.

CS Rank is Top Universities Computer and Information Systems graduate programs rank. They provide individual ranking for the top 50 schools, and then ranges (51-100, 101-150, etc) for the next 450 schools.

Fig. 1 below shows the ranking vs tuition for schools with rank < 500. Where ranking is a range, we took the midpoint of that range. 

Fig. 1: Top online MS in Analytics, Business Analytics, Data Science.

Only schools with Top Universities CS Ranking < 500 are shown.

The shape/color correspond to the type of degree: blue circle for Analytics, green square for business, and purple triangle for Data Science. Shape size corresponds to the length of education.

Some observations:

• Almost all schools in this list are from US, except for DSTI (France), Imperial College (UK), Liverpool (UK), and Queens University (Canada).
• While we don’t have all data for 2019 tuition, we saw many schools increase the tuition in 2020. This trend cannot continue for long.
• We don’t see much correlation between the school ranking and tuition.
• Some programs in Business Analytics are very expensive (Rice is $121,000), while Georgia Tech is only $9,900. Given the ease and many choices of getting good education online, it is doubtful that many schools outside of the very top few will be able to continue to charge such high tuition for online education.

#2020 sep opinions #data analytics #data science #education #master of science #ms in analytics #ms in data science #online education

'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