With the rapid development of the technology sector, it can be quite a challenge to keep up with all the niches and stay current on their advancements. Of the many fields that are responsible for the increasing buzz in the sector, Data Science, Computer Science, and Data Analytics are three critical domains that spearhead the revolution in technology. Where do these domains fit in? How do they differ from each other? How would you launch your career in them? While they seem to have many things in common, Data Science, Computer Science, and Data Analytics entail very different things. If you are on the fence about which field to choose, here is an in-depth comparative analysis for you. It breaks down the fundamental differences between the three, the applications of these domains in various industries, the salary trends, the skills you need to springboard your career in these fields, and more.
Data Science vs Computer Science vs Data Analytics
Data Science
Data
Analytics
Computer
Science
Data
Used in large and small-scale data-
SStudcy of Data. Involves storing, procuring, and 1 driven organizations. organiziineg danta.ce
Widely used across business
2 logistics, healthcare, entertainment,
finance, and education.
3 Mathematical approach andprevents data redundancy.
Computer
Science 1 Used in all technical organizations.Study of computation and its applications. Involves implementing computational systems in software
and hardware.
Widely used across banking,
2 healthcare, business, governance, and
entertainment
.
3 Computational approach. Boostsspeed and efficiency.
Data
Used in large and small-scale data-
AAnalnysisa of data. Involves analysis of raw data to 1 driven organizations. find answerls.ytics
Widely used across industries for risk
2 detection, tracking customer
behaviour, and security.
Statistical approach. Picks up trends
3 from massive amounts of data
without loss.
Data Scientist
Skills
1 2 3 4
Data Manipulation Machine Learning Data Visualization Statistics and
and Integration
Programming
Computer Scientist
Skills
1 2 3 4
Software Mathematics and Computer and Programming
Developmen Technical Technology
t Writing
Data Analyst
Skills
1 2 3 4
Statistics Programming Data Management Critical Thinking
1 Tools Used in Data
Science
Data Collection Tools (Trackur, Semnatria)
Data Storage Tools (MongoDB, Apache Hadoop, Apache
Cassandra)
Data Extraction Tools (Content Grabber, OctoParse)
Data Cleaning Tools (OpenRefine, DataCleaner)
Data Analysis Tools (Tableau, Python, Orange)
2 Tools Used in Computer
Science
Linux Commands
Text Editor
Excel
Powershell
PowerPoin
t
3 Tools Used in Data
Analytics
RapidM ine
r KNIME
Heap
TypeFor
m
Amazon
RedShift
Salary Data Science
1 The average annual salary of a data scientist is
Trend $96,491 in the US.
s
Computer Science
2 $72,173 is the average annual salary of
computer science graduates in the
US.
Data Analytics
3 The average base salary of a data analyst is
$72,945 in the US.
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