What is data science
Data science is the study of using scientific methods which can be involved in various processes. It also involves the use of algorithms and various tools which helps in learning the machine language. These tools may include python, r for data science, and other assembly languages. If one wants to become a data scientist, they need to understand data analysis and its various components but first they need to know what exactly data science is.
Data science covers the whole area of data processing, data visualization, data engineering, data integration etc. Machine Learning is also part of data science.
Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems.
At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses.
Much to learn by mining it. Advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value.
Basically data science is the branch which includes various programming tools, statistic, computation skills for providing a meaningful information from a bulk of big raw Data . The data might be either structured data or even unstructured Data . The main concept is to provide a meaningful information or data from a bulk of raw data using various technique. In simple words we can also say that data science is used for making decision too. Data science is somehow related to data mining but it differs in many ways like we can say data science is used mostly for general use where as data mining is used for patterns . Moreover we can say data mining is also a part of data science. Data science is expected to overcome the present technology like machine learning and Business Intelligence as it has many advantages and future scope . That is the reason why we search for the Best Data Science Courses or the Best Data Science Training in order to get good knowledge and skills about it.
Data science is a field that involves the use of data for building descriptive, predictive, or prescriptive analytic models.
In data science, there are so many subfields which are sometimes used interchangeable. I think data science is the general name, then under data science, we have subfields like artificial intelligence, machine learning, and deep learning.
Artificial Intelligence: technique that enables computers to mimic human behavior (very similar to biological intelligence produced by the neurological system in humans).
Machine Learning: deals with techniques that enable a computer to learn without explicitly being programmed e.g. system to classify emails as spam or not spam.
Deep Learning: generally considered as a sub-branch of machine learning. Involves algorithms that can learn underlying features in data using neural networks e.g. system to classify handwritten digit for recognition.
So we see that deep learning is a more advanced version of machine learning, while artificial intelligence is a more advanced version of deep learning.
For more details follow me: Data Science Course in Noida