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Want to be a Big Data Scientist?
Rating: 4.5 out of 5(973 ratings)
12,554 students
Last updated 3/2018
English

What you'll learn

  • Understanding of Data Science concepts and Process
  • Knowledge or roles and suitability for them
  • Challenges in Data Science
  • Building a transition Plan

Course content

2 sections12 lectures1h 25m total length
  • Introduction3:40

    Course Coverage and expectations

  • Data Science Definition10:09

    Describe Data Science with an example

  • Elements of Data Science5:34

    Elements of Data Science and how they are related to each other.

  • Life Cycle of a Data Science project9:03

    Various stages in a Data Science project and work done in these stages.

  • Data Science Use Cases & R Example22:34
  • Big Data and Data Science3:51

    How Big Data and Data Science are inter-related with each other.

Requirements

  • A Background in S/W development, Statistics or Business
  • Understanding of Data Analytics

Description

"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 option for me?"

**** Please note: This is a career advice course, not a technology course.

Data Science has been growing exponentially in the last 5 years. 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 learn about

  • Data Science goals and concepts
  • Process Flow
  • Roles and Responsibilities
  • Where you will fit in to a Data Science team.
  • Building a transition plan

Getting into the Data Science field involves significant investment of time. Learn about the field in order to make an informed decision.

Who this course is for:

  • Professionals looking to switch to a career in Data Science
  • Professional needing career advice on how to get work in Data Science