What does a Data Scientist do?
Data Science is a coalescence of sundry fields including Statistics, math, Programming, Machine Learning, and domain Erudition with the goal of extracting insights from the data to enable a data-driven decision process, which is the key to business prosperity.
Data Scientists accumulate the pertinent business data from sundry internal and external sources, do experiments, and apply sundry statistical techniques to engender vigorous data substratum analytics. They utilize machine learning alimented by data pipelines to provide predictive analytics with a great level of precision. This avails to better understand the business and customers so that they can be accommodated better with a better decision-making process.
Why is a Data Science Vocation most desired?
Data Science vocation rose to fame in the year 2015 and stayed at the top position of the most desired jobs since then.
Here are the key reasons why
Millions of Job Opportunities, High paying jobs, job security, Ecumenical opportunities, and Intriguing work.
Data Science provides job opportunities across experience levels from abecedarians to top executives level.
Data Science is adopted across industries and functions.
No hard prerequisites: Anyone with good analytical skills can pursue a vocation in Data Science
So it is of no surprise that a Data Science vocation has been the most desired job for the last 6 years.
At the early time of Data Science adoption, around 2015, there were circumscribed options to learn Data Science as there weren’t many sources and structured courses. Most of the aspirants acquired skills through online sources, research articles, and most ardent self-study. But now, as the field of Data Science has evolved as the major domain, with thousands of immensely colossal organizations putting Data science in the front line of the business strategy, the content, and cognizance available are massive.
Virtually anything you optate to learn about Data Science is already up there in the cyber world in some format, an article, YouTube video, etc. This is very good but finding the right resource to learn job yare skills from a plethora of sources has become arduous. Many aspirants, who start with great ebullience, find it arduous to fathom the width and depth of the field, where to commence, and where is the terminus. This leads to learning from sundry sources, at sundry arduousness levels, without structured learning, resulting in getting disoriented and probably losing motivation.
Ergo, it is highly recommended that the learners need a structured learning course with a good mentor with industry practice in the field of data science, to learn data science skills that are germane in a short period of time with more practical use cases and projects.
How consequential is the Live Project to become job yare?
Data Science is a practical field with business value as the key aspect. It comes down to what is the authentic value of data, analytics, and Machine learning to the business. Data Science concepts, statistics, machine learning, and doing learning projects can avail you to learn and practice the concepts but appreciating the genuine business value of a Live Project is very paramount.
Live Project avails you understand and appreciate the value Data Science brings to the business. This project can be Proof-of-Concept for a sizably voluminous organization, a minuscule project for a client, a product development for a commencement-up company, your own conception of engendering a product, or an accommodation utilizing Machine Learning and Data Science. While working on a Live Project you will learn the practical challenges in data accumulation and preparation, working on model tuning to meet business requisites and determinately release the authentic value integration to the business.
So, in simple terms:
As a data scientist, your major goal is to utilize data science techniques to integrate value into businesses utilizing the data.
So, Live Project provides an exposure to understand the very purport of data science
Live Project is the key to cracking job interviews, as the interviewers are most intrigued with the live project, what it is, how you executive, results, and most importantly the business value.
Thus, a Live project is a must in your pursuit of a Data Science vocation.
DataMites provides Data Science courses including a Live Project opportunity through internship opportunities with IT companies to provide authentic world exposure. The flagship course of DataMites® – “Certified Data Scientist (CDS)”, is a 7-month crash course with daily learning sessions including internship and live projects. More than 25,000 learners have consummated DataMites® CDS course, across the world, with the industry's highest learners transitioning to Data Science vocations in the past 7 years.