Data Science Course Eligibility
                     Data Science Course Eligibility
Introduction
This course made for anyone who wants to learn it, 
whether they are new or professional. One can go for a 
bachelor’s degree in Data Science after class 12. They 
should have a background in science, and it can be an 
additional benefit to having computer programmes in 
high school. The percentage needed to accept 
admission, however, depends on the institution. A new 
graduate from a recognised university may also opt for 
either a master’s degree in Data Science in the 
relevant discipline. A PG Diploma in Data Science may 
be carried out by working professionals with a similar 
background. Data Science also has several online 
certification programmes. 
Data Science Course Eligibility
Data scientists are highly educational. 88% have at least a Master’s degree 
and 46% have PhDs. And although there are notable exceptions, it requires a 
very strong educational background to develop the level of knowledge 
necessary to be a data scientist. You could obtain a Bachelor’s degree in 
Computer Science, Social Sciences, Physical Sciences, and Statistics to 
become a data scientist. Mathematics and Statistics (32 per cent), followed 
by computer science (19 per cent) and engineering (16 per cent), are the 
most common fields of study. A degree in each of these courses will provide 
you with the skills to process and analyse big data that you need. The fact is 
that most data scientists have a Master’s or Ph. D degree and often undergo 
online training to learn a special ability such as how to use Hadoop or Big 
Data querying. You may then apply for a master’s degree in Data Science, 
Mathematics, Astrophysics or any other related area. During your degree 
programme, the skills you have gained will help you to easily transition to 
data science. You can practise what you learned in the classroom, apart from 
classroom learning, by creating an app, starting a blog or exploring data 
analysis to enable you to learn more. 
Course Pre-requisites
Data Analytics stakeholders should have some 
previous experience in (or be prepared to work 
with): Mathematics Basic
Statistics (working with statistical methods 
and numbers)
For anyone with a degree in social and natural 
sciences, engineering, mathematics, art and 
others, this course is well adapted.
Skills required
For data analytics, as a programming language, as an 
environment for statistical analysis, data 
visualisation, in-depth information in R: R is used. 
Other skills that are required are: 
Python coding  
mathematical models and concepts are primarily 
preferred to Python since Python has rich 
libraries/packages to construct and deploy models. 
MS Excel 
For all data entry work, Microsoft Excel is considered a 
basic requirement. In data processing, applying 
formulae, equations, diagrams from a messy tonne of 
data is of great benefit. 
Hadoop Platform
It is a distributed computing system that is open 
source. It is used for the management of big data 
applications for processing and storage. 
SQL database/coding
It is primarily used for dataset preparation and 
extraction. It can also be used for issues such as 
graphics and network analysis, search activity, 
detection of fraud, etc. 
Technology
Because there is so much unstructured knowledge 
out there, one should know how to access the 
information as well. This can be done through AP in a 
variety of ways
Techniques required
Along with the skills, students require some 
techniques as well. Mathematical Expertise 
Data scientists often work on machine learning 
algorithms that require a very large amount of 
mathematical knowledge, such as regression, 
clustering, time series, etc., since they themselves are 
based on mathematical algorithms. 
Working with unstructured data
Since most of the data created each day is 
unstructured in the form of photos, comments, tweets, 
search history, etc., knowing how to turn this 
unstructured into a structured form and then work 
with them is a very useful ability in today’s market. 
About Data Science Course
This course intends for learners who do not have prior data analytics 
experience. It targets to gain these skills in a short period of time. These 
students will learn how to evaluate broad data sets and find trends that 
will enhance the decision-making process of any business or organisation. 
After completing the course, they will be able to: Capturing, classifying, 
simplifying, normalising and preparing data for processing.
Working with and evaluating huge sets of data.
Reflect the findings of the study visually to professional and non-technical 
audiences.
Use the most common algorithms to make sense of vast quantities of 
information. They are important to most business and management 
issues.
You will have a professional portfolio of projects at the end of the 
programme. Alongside you will have real experience with data analytics. 
This will give you the confidence required to be successful as a data 
analyst.