Types
of Data Science Job
Below is the explanation of some critical job titles of data science.
Skill required: To become a data scientist, one should have technical language skills such as R, SAS, SQL, Python, Hive, Pig, Apache spark, MATLAB. Data scientists must have an understanding of Statistics, Mathematics, visualization, and communication skills.
If you learn data science, then
you get the opportunity to find the various exciting job roles in this domain.
The main job roles are given below:
1. Data
Scientist
2. Data
Analyst
3. Machine
learning expert
4. Data
engineer
5. Data
Architect
6. Data
Administrator
7. Business
Analyst
8. Business
Intelligence Manager
Below is the explanation of some critical job titles of data science.
1. Data Analyst:
Data analyst is an individual,
who performs mining of huge amount of data, models the data, looks for
patterns, relationship, trends, and so on. At the end of the day, he comes up
with visualization and reporting for analyzing the data for decision making and
problem-solving process.
Skill required: For becoming a data analyst, you
must get a good background in mathematics, business intelligence, data mining, and basic knowledge of statistics.
You should also be familiar with some computer languages and tools such
as MATLAB, Python, SQL, Hive, Pig, Excel, SAS,
R, JS, Spark, etc.
2. Machine Learning
Expert:
The machine learning expert is
the one who works with various machine learning algorithms used in data science
such as regression, clustering, classification, decision tree, random forest,
etc.
Skill Required: Computer programming languages such
as Python, C++, R, Java, and Hadoop. You should also have an understanding of
various algorithms, problem-solving analytical skill, probability, and
statistics.
3. Data Engineer:
A data engineer works with
massive amount of data and responsible for building and maintaining the data
architecture of a data science project. Data engineer also works for the
creation of data set processes used in modeling, mining, acquisition, and verification.
Skill required: Data engineer must have depth
knowledge of SQL, MongoDB, Cassandra,
HBase, Apache Spark, Hive, MapReduce, with language knowledge
of Python, C/C++, Java, Perl,
etc.
4. Data Scientist:
A data scientist is a
professional who works with an enormous amount of data to come up with
compelling business insights through the deployment of various tools,
techniques, methodologies, algorithms, etc.
Skill required: To become a data scientist, one should have technical language skills such as R, SAS, SQL, Python, Hive, Pig, Apache spark, MATLAB. Data scientists must have an understanding of Statistics, Mathematics, visualization, and communication skills.
Imp
Notes:
As per various surveys, data scientist
job is becoming the most demanding Job of the 21st century due to increasing
demands for data science. Some people also called it "the hottest job title of the
21st century".
Data scientists are the experts who can use various statistical tools and
machine learning algorithms to understand and analyze the data.
The
average salary range for data scientist will be approximately $95,000 to $ 165,000 per
annum, and as per different researches, about 11.5 millions of
job will be created by the year 2026.
You don't realize how quickly technology is changing. Data science is highly technical and is therefore in high demand. A career in data science will open up many lucrative job opportunities. So, if you have been wanting to start your career in Data Science, now is the best time to enroll in a data science program with one of the best data science training institute in noida.
ReplyDelete