Data Science- A Splendid Career of 21st Century !
Today, Data Science as a career is
creating a buzz all across the globe. It is the field that is fascinating
almost every aspirant who wants to make an ambitious career in the field of
analytics and data science. In this technology-driven era, data is like a fuel
of the digital economy and the role of professionals in the field of data
science will be pivotal in almost every enterprise. The career scope and future
in the field of data science are splendid. Candidates who want to make career
in this field should have an affinity for numbers, excellent mathematical
acumen and sharp programming skills. This web article aims to impart valuable
insights about Data Science career.
Data Science encompasses multiple
fields, including statistics, scientific methods, artificial intelligence (AI),
and data analysis, to extract information from data. People who practice data
science are called data scientists, and they use a range of skills to analyze
data collected from the web, smartphones, customers, sensors, and other sources
to derive valuable insights.
Data Science is a comprehensive field
that including data analysis, cleansing, aggregating and manipulating the data.
Analytic applications and data scientists review the results to uncover
patterns that enable business leaders to make data-driven decisions.
The Significance of Data Science in
The Modern World:
·
There is a great significance of data science in the
health care sector. Due to Data Science
medical images like MRIs, X-rays, Mammographers, etc. can be interpreted by
computers.
·
Data Science professionals play a major role in the
Automation industry. Self-driving cars, Pilotless Aircraft Drones are the contribution
of Data Science.
·
There is use of Data Science in the Finance, Credit
& Insurance Industry. Risk & fraud detection along with claim
prediction, preventing a debt default, predicting future results; all of these
can be sorted out by Data Science algorithms.
·
Proficiency in Microsoft Excel and Business
Intelligence tools like Microsoft Power BI, Tableau.
Skills Required to Become Data
Scientist:
·
Proficiency in programming languages like Python,
Perl, C/C++, SQL, and Java.
·
Proficiency in SAS and other analytical tools like SAS,
Hadoop, Spark, Hive, Pig, and R are the most popular data analytical tools.
·
Some of the other skills required are Machine
Learning, Artificial intelligence, Deep learning, Probability & Statistics.
Different Job Profiles in The Field
of Data Science:
Data Scientist, Machine Learning
Engineer, Machine Learning Scientist, Applications Architect, Enterprise
Architect, Data Architect, Infrastructure Architect, Data Engineer, Business
Intelligence (BI) Developer, Statistician, Data Analyst.
EMAIL US
admission@mangalayatan.co.in
ADMISSION HELPLINE
Mob/WhatsApp : +91-8252-200-200
+91-8252-300-300
Comments
Post a Comment