Data science is sort of process or algorithm coded into your system in such a way that you could mine
the required data to your liking from a structured and unstructured database.
The main functions of a Data Scientist are: 1. Data Acquisition, 2. Data Preparation, 3. Data Analysis, 4.
Data Modelling, 5. Visualization, 6. Deploy and Maintain.
Data scientists need to acquire data through a well-prepared questionnaire so as to understand the
requirements of the client. Then, through various web-services, Logs, Database, APIs and online
Repositories acquire more data for that project.
Data preparation is a very important function of a data scientist. Here, he needs to clean the
inconsistent data types, misspelt attributes and duplicate values. Then, he transforms the data through
various modifications to his requirements through various tools like – Talend and Informatica.
Next Step is for the Data Scientist to Analyze the data through Exploratory Data Analysis. Here, he needs
to Define and Refine the data by selecting various feature variables that will be used in the model
The next step is Data Modelling. Here, he has to focus on Data Modelling through various software tools
like – KNN, Naïve Bayes, Decision Tree etc. When this frame is completed, then the need of coding
comes which is done through Python or SAS etc. in accordance with the best-suited model.
Visualization is the next important steps to execute that program through – Tableau or Power BI or Qlik
View to see how powerful the model is to serve your needs.
The last step is to Deploy and Maintain. Here, the software or codes developed are put on the pre-
production environment for various backtesting. If needed, various modifications are made to correct
the codes to achieve the best result. When back testing is completed, the Reports and Dash Boards are
used for Real-time Analysis.
It is really interesting how Data Science has changed this world
In the Pharma Industry, it has helped a lot in deeper understanding of the Genetic Issues of a Drug. The
Logistic Companies use Data Science to discover the best time and routes to ship, the best time to
deliver and the best means to transport. Thus, helping them a lot in cost management. The various
Corporate houses use it to predict employee attrition and understand the variables that influence their
turn over. Airlines use it to predict flight delay and notify passengers well in advance for a better travel
experience. Even social Sites like Facebook, Twitter etc. are using Data Science to know the likings of
various users so as to show them the posts for better social communication experience and comments.
Online product selling companies like Amazon, Flipkart etc. are using data science to understand
purchasers requirements and their time of requirements so that they could send them a message, offer
discounts etc. Few Data Science Companies are also helping various political parties to understand the
mood of the public, raise issues in Parliament, help Govt. in Policymaking.
The various Roles offered to a Data Scientist are – Data Analyst, Machine Learning Engineer, Deep
Learning Engineer, Data Engineer, and of course, Data Scientist. The salary package is very attractive and
could go up to $200000 p.a. throughout the globe. All sectors are quickly adapting to Data Science for
their cost management, growth and profitability. Learning Data Science is very interesting and
challenging. Harvard Business Review calls this job “The Sexiest Job of 21 st Century”. If you are
interested, then come and study from the best data science courses in Bangalore.