Beginner’s guide to Data Science

The reason behind every successful company is that they know their customers’ needs. They need to understand what exactly their customer wants and make maximum profit out of it. The main requirement to identify customer needs is to have the right data. Data is nothing but the information obtained from the user which is used to find a possible solution to the problem statement. Data is enough to make a company successful. This data is collected from various user platforms from various social media networks, different websites, etc.

Data science is the process of collecting this user data, analyzing it and solving various user related problems. A data scientist is responsible for all of our user related problems and he is the one who finds the solution to these problems. The daily job of a data scientist is to explore this data and analyze it if we put it in simple words. He starts with collecting the data which is related to the company he is working with. For example, if he is working with a company like Uber, he will collect data which is related to it. After he is done with collecting the data, it is cleaned. The excess unrelated data is removed and passed further. The process is like removing the bad potato chips in a potato chip factory. After cleaning the collected data, it is analyzed statistically. Here is where all the user needs are identified and analyzed on the first basis. After exploring and analyzing the data, it is converted into data models which are nothing but data objects which are created to store in the database. After the data is converted into data models, these then go through a process called data validation. In this process, it is ensured that the data is cleaned and analyzed. This process is to just cross check if the process is done correctly. After this, the entire process is finally done.

For these processes, there is a usage of various algorithms along with statistics and is done with the help of different programming languages. Python is one of the popular programming languages used in data science along with R, SQL, Hadoop, and Spark. In order to be a good data scientist, it is important to be familiar with these programming languages. You should also know about statistics along with some basic knowledge in business. Lastly, you should also have a presence of mind to think critically.

Data science is a rising field with rising demand. This is because of the big role data plays in our life. Everything which we search is collected, stored, processed and used to develop various possible solutions for a problem. Data scientists are high in demand and receive good pay according to their skills. As data is everywhere around us, it is important to explore it for maximum profits. A good data scientist is someone who has all the required skills along with interest in his field. If you have a genuine interest in this field then nothing else matters.

Resource box:

Enroll in a data science course and get data science certification in Pune. They help you in enhancing your skills if you are interested in data science and pursue it as your career. These courses are ideal if you love data science.

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