Data Scientist Roles and Responsibilities | Data Scientist Career | Data Science Training | Edureka


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** Data Science Masters Program : **
This Edureka "Data Scientist Roles and Responsibilities" video talks about the various Job Descriptions and specific skill sets for the different kinds of Data Scientists that are there. It explains why Data Science is the best career move, right now. Learn about various job roles and what they actually mean and the learning path to make a career in Data Science. Below are the topics covered in this module:

[01:55] What is Data Science?
[02:59] Who is a Data Scientist?
[05:00] Types of Data Scientists
[08:00] Skills Required to Become a Data Scientist
[12:45] Data Science Masters Program @Edureka

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How it Works?

1. This is a 30-hour Instructor-led Online Course.

2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any

clarifications you may require during the course.

3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and

a Verifiable Certificate!

About the Course

Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.


Who should go for this course?

The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:

Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies


Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.

Got a question on the topic?

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free) for more information.
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