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Why should we do a Data Science Course with a Live Project?

Data Mites

Since the article in Harvard Business Review in Oct 2012  – “ Data Scientist: The Sexiest Job of the 21st Century”,  Data Science has become the  most desired career option with millions of opportunities, offering not only highest salaries but also  interesting jobs.

Many think-tanks and research organisations predicted that the data science domain will be near to saturation by 2022 with stable growth there on, but defying that, the growth is still more than 60-70% year-on-year with exponential adoption of data science in various industries and domains. As of today, Data Science is still the fastest growing field, creating tens of millions of jobs and predicted to stay  that way for the next 5 years at least.

What does a Data Scientist do?

Data Science is a combination of various fields including Statistics, Maths, Programming, Machine Learning, and domain Knowledge with a goal of extracting insights from the data to enable data driven decision process, which is the key for business success.

Data Scientists gather the relevant business data from various internal and external sources, do experiments, apply various statistical techniques to create the strong data foundation  analytics. They use machine learning fed by data pipelines  to provide predictive analytics with a great level of accuracy.  This helps to better understand the business and customers so that they can be served better with a better decision making process.

Why is a Data Science Career most desired?

Data Science career rose to fame in around year 2015 and stayed at the top position of the most desired jobs since then. 

Here are the key reasons why

  1. Millions of Job Opportunities, High paying jobs, job security, Global opportunities, Interesting work.
  2. Data Science provides job opportunities across experience levels from beginners to top executives level.
  3. Data Science is adopted across the industries and functions.
  4. No hard prerequisites: Anyone with good analytical skills can pursue career in Data Science

So it is of no-surprise that a Data Science career has been the most desired job for the last 6 years.

Is it necessary to go through a Data Science course?

At the early time of Data Science adoption, around 2015, there were limited 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 mostly ardent self-study. But now, as the field of Data Science has evolved as the major domain, with thousands of large organisations  putting Data science in the front line of the business strategy, the content and knowledge available is massive. 

Almost anything you want to learn about Data Science is already up there on the internet in some format, an article, youtube video etc. This is very good but finding the right resource to learn job ready skills from a plethora of sources has become difficult. Many aspirants, who start with great enthusiasm, find it difficult to fathom  the width and depth of the field, where to start and where is the end.  This leads to learning from various sources, at various difficulty levels, without structured learning, resulting in getting lost and probably losing motivation.

Therefore, 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 relevant in a short period of time with more practical use cases and projects.

How important is the Live Project  to become job ready?

Data Science is a practical field with business value as the key aspect. It comes down to what is the real value of data, analytics, Machine learning to the business. Data Science concepts, statistics, machine learning and doing learning projects can  help you to learn and practise the concepts but to appreciate the actual business value of a Live Project is very important.

Live Project helps you understand and appreciate the value Data Science brings to the business. This project can be Proof-of-Concept for a large organisation, a small project for a client, a product development for a start-up company,  your own idea of creating a product or a service using Machine Learning and Data Science. While working on a Live Project you will learn the practical challenges in data gathering and preparation, working on model tuning to meet business requirements and finally release the real value addition to the business.

So in simple terms:

  1. As a data scientist, your major goal is to use data science techniques to add value to business using the data. 
  2. So, Live Project provides an exposure to understand the very purpose  of data science
  3. Live Project is the key in cracking job interviews , as the interviewers are mostly interested in 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 career.

DataMites provides Data Science courses including a Live Project opportunity through internship opportunities with IT companies to provide real 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 completed DataMites® CDS course, across the world, with the industry highest learners transitioning to Data Science careers in the past 7 years.

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