Mathematical Perspective in the field of Data Science
"In this article, we are talking about data science and what important role mathematics plays in the field of data science. The scope of data science is increasing and, to pursue a career in data science, one can start by pursuing a Bachelor of Science in Mathematics from Marwadi University."
Data Science is a
detailed study of large amounts of data and providing meaningful information
from the same. The inputs which are derived from the given data helps
organizations in predicting data trends, identifying new growth opportunities,
increasing efficiency, saving costs, etc.
Data Science is a
combination of the skills and studies stated below:
- various scientific methods,
- processes,
- domain expertise,
- programming skills,
- knowledge of mathematics and
statistics,
- Algorithms, etc.
These are useful in
generating valuable insights from the data, which are helpful for
industries.
Data Scientist - Job
Overview
Data Scientists help
turn raw data into useful information. Data Scientist researchers analyze and
conclude the data. They work closely with businesses to study their goals and
requirements, understand their problems, and, based on that, they design
models, create the algorithm, and infer data. A data scientist should present
the valuable inputs effectively and be well-versed in machine learning,
mathematical skills, statistics knowledge, coding, etc.
Role of Mathematics in
Data Science
According to my
research, to build a successful career in data science, detailed knowledge of
mathematics is a must. Mathematical concepts are required to study trends and
patterns in data and infer insights from them. These insights then assist in
algorithm creation.
Mathematics is the
ground for all the disciplines of science. Almost every scientific technique
has an in-depth concept of mathematics rested in it. Machine Learning, a part
of data science, focuses on making computers capable of practicing
automatically. But that will also require algorithms to learn data and make
predictions. Hence mathematics in machine learning holds an important role too.
To understand concepts
of the mathematics behind data science there are three main elements. They are
as follows:
Linear Algebra
Linear Algebra is
required at every point when you are into data science whether it is to write
codes or to reduce data dimensionality; all models require computations through
linear algebra. The most efficient calculations carried out by computer are
using linear algebra.
Calculus
For data science, the
understanding of calculus principles has to be there. Principles of calculus
help in getting clarity on the effect of those principles on mathematical
models. Calculus helps in maintaining the accuracy in the development of
mathematical models.
Statistics
Data-driven decisions
are taken by using statistical tools. Statistics and probability help convert
raw data into new filtered data, after analyzing and inferring them.
Data Science - Future
Career
According to India
Today,
Analytics-related Job opportunities are surging like anything; there is a
possibility of 39000 new career opportunities related to analytics to be
available by the year 2022. With such predictions in the picture, it has been
realized by the organizations that data science is needed to survive the cutthroat
competition.
Below are some job
roles for Data Science Professionals:
- Data Scientist
- Machine Learning Engineer
- Machine Learning Scientist
- Applications Architect
- Data Architect
- Data Engineer
- Business Intelligence Developer
etc.
I would suggest
pursuing data science would help you outshine in your career as it holds a
brighter future. The universities from which you choose to pursue your course
also play a significant role in your career growth, and so make sure to select
the top engineering college. Marwadi University is one of the
top engineering colleges in Gujarat.
If you are planning to study mathematics, then Marwadi University’s Bachelor of Science in Mathematics program is a perfect suit for you.
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