Getting Started With Data Science

Data Science is a field all about different scientific Methods, Process, systems to extract an Important piece of information and knowledge from the Data which may be either structured or unstructured.It includes getting the data, Cleaning the data and building a new analysis from that particular data.You don't have much of information about the data and have to filter it out.So one can understand that there are a lot of challenges and criticism while you go through any data science course or project.

The keyword of Data Science is not Data, It's Science.Being a Data Scientist enthusiast you have to ask yourself many questions as the questions should come first and then the data.

Why Data Science?

Over the last several years there is a huge increase in the size of Data all over the world.This is because Data has become much easier to collect and store.Application on smart phones, GPS, Social networking sites, etc all these are contributing to the growing size of data.This led to the rising era of Big Data.Collecting, storing analyzing these data are really difficult and challenging.But now that's all possible to access these kinds of data which allows us to answer questions we never could do before.

Why Statistical Data Science?

When you work with Data Science you rarely get any dataset where all the information will be given to you and you will easily get all the answers to your questions.So uncertainty is there with data and any place where uncertainty comes Statistics comes there.Statistics is needed in Data Science as it is a broad field with many application to be used in industry.So if you want to learn Data Science you must have a good knowledge of Statistics.

Who is Data Scientist?

The question might arise in your mind that who is actual Data Scientist.Many are self-proclaimed Data Scientist or tell others a Data Scientist but they are the professionals who have achieved expertise and have good experience in the Data Science skills.Data scientists are a new breed of analytical data expert who has the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved.

What Data Scientist Do?

• Define the question
• Define the ideal data set
• Determine what data you can access
• Obtain the Data
• Clean the Data
• Exploratory Data Analysis(EDA)
• Modelling/Statistical Prediction
• Interpret Result
• Challenge Result
• Writing the results
• Creates reusable codes
• Distributes the results to others

Start Now!

At this moment there is a huge boom in the Data Science field, so there is a good chance for those who are really interested in making a career with Data Science.From health care to Business development there is a need of Data Science.Becoming a good Data scientist is not an easy thing but yes, one can achieve this with interest and dedication.A recent study by McKinsey indicates that the demand for Data Scientists is on the rise, with an estimated 50% demand-supply gap by 2018.

Skilled, certified data scientists are among the highest-paid professionals in the IT industry, with the median salary for entry-level data scientists at $91,000, and managers making as much as $250,000 a year.

Inside The Box

Till now you have got a basic idea of what Data Science is and its importance.But what are the things(Skills) one should know to become a Data Scientist?I have already discussed these things, about the skills in my Previous post. In my Next Post, I will briefly discuss the Tools used for Data Science which is R programming and How to Download R and Rstudio and one should have good knowledge of this Tool to become a good and valuable Data Scientist.