Top 5 Data Scientists Skills | Data Scientist Skills Required 2021 |
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 Published On Jul 29, 2021

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Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. So this Shorts video brings to you the Top 5 skills needed to become a successful Data Scientist

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What is Data Science?
Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions. Data science uses complex machine learning algorithms to build predictive models. The data used for analysis can be from multiple sources and present in various formats.

Skills To Become A Data Scientist:
To become a data scientist, youā€™ll need to master skills in the following areas:
āœ… Data Scientist Skill 1: Gain database knowledge which is required to store and analyze data using tools such as OracleĀ® Database, MySQLĀ®, MicrosoftĀ® SQL Server and TeradataĀ®.
āœ… Data Scientist Skill 2: Learn statistics, probability and mathematical analysis. Statistics is the science concerned with developing and studying methods for collecting, analyzing, interpreting and presenting empirical data. Probability is the measure of the likelihood that an event will occur.
Mathematical analysis is the branch of mathematics dealing with limits and related theories, such as differentiation, integration, measure, infinite series, and analytic functions.
āœ… Data Scientist Skill 3: Master at least one programming language. Programming tools such as R, Python, and SAS are very important when performing analytics in data.
R is a free software environment for statistical computing and graphics, which supports most Machine Learning algorithms for Data Analytics such as regression, association, and clustering.
Python is an open-source general-purpose programming language. Python libraries like NumPy and SciPy are used in Data Science.
SAS can mine, alter, manage and retrieve data from a variety of sources as well as perform statistical analysis on the data.

Why Data Science?
Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you:
āœ…Find the leading cause of a problem by asking the right questions
āœ…Perform exploratory study on the data
āœ…Model the data using various algorithms
āœ…Communicate and visualize the results via graphs, dashboards, etc.

About Data Science with Python Certification Course:
Ranked #1 Data Science program by Economic Times
The Data Science with Python certification course provides a complete overview of Python's Data Analytics tools and techniques. Learning Python is a crucial skill for many Data Science roles. Acquiring knowledge in Python will be the key to unlock your career as a Data Scientist.

Data Science with Python Training Key Features:
āœ… 100% Money Back Guarantee
āœ… 68 hours of blended learning
āœ… 4 industry-based projects
āœ… Interactive learning with Jupyter notebooks labs
āœ… Lifetime access to self-paced learning

Benefits
Data Science is an evolving field and Python has become a required skill for 46-per cent of jobs in Data Science. The demand for Data Science professionals will grow an estimated 1581-percent by 2020 and professionals with Python skills will have an additional advantage.

Eligibility for this Data Science with Python course:
The demand for Data Science with Python programming professionals has surged, making this course well-suited for participants at all levels of experience. This Data Science with Python course is beneficial for analytics professionals willing to work with Python, Software, and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.

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