Big data and data science: What should we teach?

1. Big data and data science: What should we teach? Rated as one of the hottest selling skills in the market by Harvard Business Review, Data Science has become the area of interest for many. Individuals, whether they are freshers or even the working professionals, are now planning to become a data science expert. Data is the new gold, and it drives all the strategies and policies. So, the one who has a command over the data has the expertise to command everything. But when we talk about data, then there is a common debate about Big Data or Data Science. While both these fields deal with data, there is some point of difference between the two, and we will try to explain the same. Big data or data science: which is better? Well, this is a common question that you will come across if you are acquainted with data, so we try to answer the same, but before concluding, it's important to analyze what is big data and data science and how these two fields work. Big data: As we can interpret from the name, Big Data refers to dealing with a large volume of data using conventional techniques. The processing of Big Data starts with working on raw and unorganized data. It helps in drawing inference and making better decisions.

2. Data Science: It is an interdisciplinary field that deals with both structured and unstructured data. It is used to draw inferences from this data. Also, Data Science deals with machine learning, data mining and big data. Understanding the difference between the two: While Big Data and Data Science are used for drawing inferences and results using data, it becomes important to understand what is the difference between the two: • Companies use Big Data to improve their efficacy and understand the untapped market. Still, data science basically deals with providing modelling techniques and methods to assess the potential of Big Data. • While Big Data is used to collect a large volume of data and its assessment; data science is used for extracting valuable information from the same. • Big Data is characterized by 3Vs, velocity, variety, and volume, and data science provides a technique for analysis of data. • Big Data is a pool of data which only has value when it is analyzed, and data science uses both conceptual and practical approaches to find out information from big data. • Big Data deals with large volume, and it is called as data mining, data science makes use of ML to design tools and models to draw information from the pile of big data. • Data science emphasizes on business decisions, but Big Data is related to computer tools and software. From the above two differences, we can conclude that Big Data sieves the data and Data Science deals with the assessment of data and information, thus helping you draw the conclusion that helps the companies strategize their business. So, when it comes to understanding which education is important, then Big Data and Data Science are co-related and based on your area of interest, you can choose the one. Conclusion: Global Tech Council offers a renowned learning platform where you can learn about Big Data and Data Science, along with other technologies like Machine Learning, Artificial Intelligence, and others. Data is going to rule the world, and if you are planning to gain a certification in this field, then connect with Global Tech Council.