"Data Science is the sexiest job of the 21st century - It has exciting work and incredible pay". You have been hearing about this a lot. You try to get more information on this and start querying and browsing. You get so many definitions, requirements, predictions, opinions and recommendations. At the end, you are perplexed. And you ask - "What exactly is this field all about? Is it a good career for me?"
Data Science is a new field that is just shaping up; hence all the confusion around what it really is. It is also a hybrid field that requires multiple skills and training. We have been training students in Data Science. A number of them committed to training without realizing what it really is. Some were happy, some adjusted their expectations and some regretted committing too soon. We felt that professionals thinking of getting into Data Science needed a primer in what this field is all about. Hence, we came up with this course.
Through this course, you will
Data Science courses are expensive and time consuming. Before committing, it is a smart choice for you to know about what you are getting into. This course will help you to do that.
Use cases of Data Science in Finance, Retailing, Contact Center and Medical Domains
The first 2 phases of a Data Science Project - Setup and Data Engineering
The last 2 phases of a Data Science Project - Analysis and Production
Data Science requires a broad skill set. Learn which ones are required and can be developed.
Roles, their responsibilities and the skills required for them
There are challenges that are unique to Data Science. Learn if you like them are not.
Alternatives to building the required skills and their assessment
Where to find your first job/ work for Data Science
V2 Maestros is dedicated to teaching big data / data science at affordable costs to the world. Our instructors have real world experience practicing big data and data science and delivering business results. Big Data Science is a hot and happening field in the IT industry. Unfortunately, the resources available for learning this skill are hard to find and expensive. We hope to ease this problem by providing quality education at affordable rates, there by building data science talent across the world.