Components of Data Science Process
Data Science is a very vast field and to get the best out of the data at hand one has to apply multiple methodologies and use different tools to make sure the integrity of the data remains intact throughout the process keeping data privacy in mind. Machine Learning and Data analysis is the part where we focus on the results which can be extracted from the data at hand. But Data engineering is the part in which the main task is to ensure that the data is managed properly and proper data pipelines are created for smooth data flow. If we try to point out the main components of Data Science then it would be:
- Data Analysis – There are times when there is no need to apply advanced deep learning and complex methods to the data at hand to derive some patterns from it. Due to this before moving on to the modeling part, we first perform an exploratory data analysis to get a basic idea of the data and patterns which are available in it this gives us a direction to work on if we want to apply some complex analysis methods on our data.
- Statistics – It is a natural phenomenon that many real-life datasets follow a normal distribution. And when we already know that a particular dataset follows some known distribution then most of its properties can be analyzed at once. Also, descriptive statistics and correlation and covariances between two features of the dataset help us get a better understanding of how one factor is related to the other in our dataset.
- Data Engineering – When we deal with a large amount of data then we have to make sure that the data is kept safe from any online threats also it is easy to retrieve and make changes in the data as well. To ensure that the data is used efficiently Data Engineers play a crucial role.
- Advanced Computing
- Machine Learning – Machine Learning has opened new horizons which had helped us to build different advanced applications and methodologies so, that the machines become more efficient and provide a personalized experience to each individual and perform tasks in a snap of the hand earlier which requires heavy human labor and time intense.
- Deep Learning – This is also a part of Artificial Intelligence and Machine Learning but it is a bit more advanced than machine learning itself. High computing power and a huge corpus of data have led to the emergence of this field in data science.
Data Science Process
If you are in a technical domain or a student with a technical background then you must have heard about Data Science from some source certainly. This is one of the booming fields in today’s tech market. And this will keep going on as the upcoming world is becoming more and more digital day by day. And the data certainly hold the capacity to create a new future. In this article, we will learn about Data Science and the process which is included in this.
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