upGrad Student Rutuja Mowade's review of Data Science Program

Rutuja Mowade wrote this answer to a Quora question “Is it worth going for PG Diploma program in Data Science offered by IIIT-B and upGrad?”

I can completely understand your mindset right now, as I was in a similar dilemma a few months back. Being a newbie to this data science world one of my greatest concern was about my plan of action. So making a plan using course material available on the internet and following it strictly with your own estimated deadlines along with a job, trust me, it’s not everyone’s cup of coffee! After going through syllabus provided by various platforms including colleges, finally, I opted for IIIT-B & upGrad PGDDS program .

Now coming back to your question if it’s worth going for PG program, my answer is YES. The reason being the course is designed in such a way that all the concepts are taught from scratch. It helps in making your conceptual base stronger via assignments and group case studies. This helps in understanding the practical implementation of concepts. These concepts helped me a lot because of which I was able to make a career transition to data analytics field within 4 months of this course

The plan of action is designed keeping in mind the understanding of students irrespective of their age. It’s best for people having some experience in data analytics, freshers as well as for those people who are looking for career transition. It doesn’t matter what your previous working background is, as everything is taught from the basic. In case you don’t have access to your laptops then you can use their app for accessing study material.

You always get a student mentor who is your go-to person for all the queries related to course or career. Mentor makes sure that you cope up with the course well.

In case you opt for career support then you get to interact with an industry expert in order to shape your career. These industry experts are from different industry domains. upGrad provides a flexibility of choosing your own expert guide. Experts help you with resume preparation and mock interviews, thereby providing you with the best guidelines. upGrad keeps you posted for the new openings.

#data science #big data #data #data sciences #students speak

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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

upGrad Student Rutuja Mowade's review of Data Science Program

Rutuja Mowade wrote this answer to a Quora question “Is it worth going for PG Diploma program in Data Science offered by IIIT-B and upGrad?”

I can completely understand your mindset right now, as I was in a similar dilemma a few months back. Being a newbie to this data science world one of my greatest concern was about my plan of action. So making a plan using course material available on the internet and following it strictly with your own estimated deadlines along with a job, trust me, it’s not everyone’s cup of coffee! After going through syllabus provided by various platforms including colleges, finally, I opted for IIIT-B & upGrad PGDDS program .

Now coming back to your question if it’s worth going for PG program, my answer is YES. The reason being the course is designed in such a way that all the concepts are taught from scratch. It helps in making your conceptual base stronger via assignments and group case studies. This helps in understanding the practical implementation of concepts. These concepts helped me a lot because of which I was able to make a career transition to data analytics field within 4 months of this course

The plan of action is designed keeping in mind the understanding of students irrespective of their age. It’s best for people having some experience in data analytics, freshers as well as for those people who are looking for career transition. It doesn’t matter what your previous working background is, as everything is taught from the basic. In case you don’t have access to your laptops then you can use their app for accessing study material.

You always get a student mentor who is your go-to person for all the queries related to course or career. Mentor makes sure that you cope up with the course well.

In case you opt for career support then you get to interact with an industry expert in order to shape your career. These industry experts are from different industry domains. upGrad provides a flexibility of choosing your own expert guide. Experts help you with resume preparation and mock interviews, thereby providing you with the best guidelines. upGrad keeps you posted for the new openings.

#data science #big data #data #data sciences #students speak

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

'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

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