Data Scientist Roles and Responsibilities | #DataScientist Career & Roadmap |#DataScienceWithPython

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Kick-start your Data Science journey with "CS Encephalon" to be Hero from Zero".
in this1st introductory video of Data Science with Python free course entitled,Data Scientist Job Roles & Responsibilities | datascienceforbeginners , we will learn about the job description of Data Scientist in short video with complete understanding.
The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields
Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.

in this modern era, the decision of learning data science gave birth the demand of data scientist. A Data Scientist is a professional who uses analytical, statistical, and programming skills to collect large data sets. They develop data-driven solutions explicitly tailored toward the needs of an organization. a data scientist is required to possess core knowledge of the following...
Statistics
Programming (python)
Data Visualization
Machine Learning
Deep Learning
Linux, & GIT
Domain Specific Knowledge
problem solving skill

in short ........................
In the past decade, data scientists have become necessary assets and are present in almost all organizations. These professionals are well-rounded, data-driven individuals with high-level technical skills who are capable of building complex quantitative algorithms to organize and synthesize large amounts of information used to answer questions and drive strategy in their organization. This is coupled with the experience in communication and leadership needed to deliver tangible results to various stakeholders across an organization or business.


Data scientists need to be curious and result-oriented, with exceptional industry-specific knowledge and communication skills that allow them to explain highly technical results to their non-technical counterparts. They possess a strong quantitative background in statistics and linear algebra as well as programming knowledge with focuses in data warehousing, mining, and modeling to build and analyze algorithms.

They must also be able to utilize key technical tools and skills, including:
R
Python
Apache Hadoop
MapReduce
Apache Spark
NoSQL databases
Cloud computing
D3
Apache Pig
Tableau
iPython notebooks
GitHub

Glassdoor ranked data scientist among the top three jobs in America since 2016. As increasing amounts of data become more accessible, large tech companies are no longer the only ones in need of data scientists. The growing demand for data science professionals across industries, big and small, is being challenged by a shortage of qualified candidates available to fill the open positions.

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this video will provide you the answers of the following questions...
Who is Data Scientist?
what are the requirements to be a data scientist
what is the role of data scientist in a company?
data scientist roles and responsibilities resume
what is data scientist career path?
what is data scientist job description?
what is data scientist?
what does a data scientist do?
what are the basic roles and responsibilities of a data scientist?
what is the job description of data scientist?
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