What is Data Science: A Comprehensive Guide for Beginners
In this blog, you will have all the information you need to know about data science. From what data science is all about to the various data science courses to the skills required for data science, the following is a comprehensive guide for beginners who are thinking of education and a career in data science. What is Data Science? Data science is the study and processing of data and analytics through technologically advanced methods like software and tools powered by machine learning. It allows us to gain an insightful look into data and derive meaningful information that will help in making predictive models that can be used to make smart business decisions. Data science helps us tap into the power of data in a big way. Thanks to widespread digitisation, today, humans produce a vast amount of data through their daily routine. This data can be used to make life better. Companies can use this data to drive innovation and market the right products and services. Governments can use it to become efficient and make their citizens’ lives safer. The applications are vast, and the possibilities arising from them are innumerable. Therefore, data science has emerged as the fastest rising subject of education in the world. Data Science With Example The best way to understand something is by seeing a live example in action. Similarly, you will truly understand the importance and application of data science through a live example that you might be familiar with, but not know that it is being powered by data science. Here are some excellent data science examples: 1. Netflix – One of the biggest platforms that makes use of data science is Netflix. In network television, only 35% of TV shows get renewed for a second season, whereas, in 2017, 93% of Netflix’s shows got renewed for a second season. This decision was possible through the use of data science. The superhit show Stranger Things was renewed for a second season only after a thorough study of its data analytics. Needless to say, the second season was also successful. 2. Amazon – eCommerce giant, Amazon, employs the best data scientists in the world to improve sales and user experience. Once you search for a product, you start seeing ads related to that product. You even get updates on alternate products, related products, and price drops. This is possible through data science. The data you generate through online shopping is used to optimise your shopping experience. You are even shown products according to the region you live in. That’s how detailed data science can get. Data Science Goals and Deliverables The foremost goal of data science is to improve business decisions. Data science gives such an in-depth look into data that one can make near-accurate predictions based on this data. These predictions can be used to negate risks, improve user experience, drive innovation of products & services, and increase profits. Data science is going to make lives better and safer. It has applications in all aspects of our lives. It will make healthcare and medicines better and more efficient. Technology will evolve faster. Industries will function better. There will be more jobs, but lesser working hours. Commutes will become more efficient and safer. Mankind will have a better understanding of the world and universe. Data science is going to make every aspect of human life better. Why Data Science? Data science is not a passing trend. It is an important subject that is going to be a permanent feature in education and business. But you still need to have strong reasons to pursue this field because data science is a specialized field. Here are some reasons that are answers to the question, why data science is important: Data science is the fastest rising field in education all over the world. The best universities and institutes in the country and world have introduced full-time data science courses at the undergraduate and postgraduate levels. Currently, data scientists find themselves amongst the highest-paid professionals in the world. Data scientists are making INR 12.6 lakhs annually which is even better than software engineers, and this figure is going to get even better. Data science is a field like no other. It is one of the most technologically advanced and challenging fields in the world, meaning, there are not going to be any dull moments in data science careers. Just in the past decade, many fields of education and careers have become irrelevant, but this won’t happen to data science. The demand for data scientists is only going to get higher. If you want to work overseas and find high-paying jobs in multinational companies, data science is the best way to achieve that because data scientists are in huge demand in the international market. Components of Data Science To truly understand data science, you need to know about the components of data science. Each component is like a gear and their functioning is dependent on each other. Therefore, knowing about these components will help you understand data science as a whole: 1. Statistics The collection and arranging of numerical data and analysing it and deciphering important findings is statistics. Numbers are an important part of data science as it uses many statistical models for analysis and predictions. Accurate recording and analysis of statistics are one of the most integral parts of data science. 2. Data Engineering Once the data has been acquired, it needs to be properly stored, retrieved, and processed. This is where data engineering comes to the fore. How, when, where, and what needs to be done with the data is all a part of data engineering. Data engineering also deals with metadata. 3. Domain Expertise Data science is always used to process data of a particular domain and for this, input from a domain expert is needed. Domain expertise brings data science together and gives it a direction, and lets you decide how to best make use of all the insightful findings. 4. Advanced Computing … Read more