Data Science Training in Los Angeles

Learning of Data Science

The field of Data Science and its study is totally incomplete without ‘data’. Though used as an individual word ‘data’, it hides a huge amount of importance and meaning in it. As we know, data is nothing but a piece of information, whether in raw form or derived as structured. But this data can be collected, visualized, analyzed, processed and then used for big and small purposes in industries. It will not be wrong if we say that data is a fundamental unit of the whole data science field and an integral part of cornucopia industry. It is because of this fact that it takes a lot of hard work to actually derive important information from raw data and these hardships are done by the data scientists, analysts and many workers working for the same.

How is the Data Stored Actually?

We all say that data is a piece of information, whether structured or unstructured, and the information is derived from it and what not. A data can be in any form, as text files or as numbers or binary files. It can also be in the form of structured (a processed form of raw data which is stored in tabular form), unstructured and semi-structured. But the question is how the data is actually stored. There must be some techniques or methods that can be used to actually store these loads of data. All computers detect data, pictures, videos, sounds, text, images, etc. in the binary form i.e. 0 and 1 bits. Being the smallest value of data, a bit represents a single value. This data is then processed by the CPU that uses some logical operations in order to derive new data from the existing source data. It is in the size of several Exabytes and Zettabytes. But as the amount of data continuously grows, the bigger units of memory are not enough to represent it. So, a new unit ‘Brontobyte’ is deduced which is equal to 10 raised to the power 27 of bytes of data.

VSAM and ISAM are used to store data in file formats (in mainframe systems). Further, Databases and Database Management Systems are used to smoothly store, manage and process huge loads of data.

Machine Readability

Apart from its numerous uses, data is also used to separate textual human-readable information from binary machine-readable information. For instance, there are certain applications that do this separation job between text files (files having ASCII data) and data files (binary data files).

Another important aspect of this is the Database Management System (or DBMS). All the data files that are having particular information regarding database and some other files like data dictionaries and index files store information which is known as metadata (i.e. data of a data).

Resource Box

The knowledge and learning of data are never-ending and from the past several years, it has grown a lot in terms of importance. Hence, anyone who wants to dive in the world of data and is eager to know more can join a course of Data Science Training in Los Angeles.

Data Science Course in Los Angeles

THE MAGIC OF VISIBLE DATA SCIENCE IN THE PHARMACEUTICAL INDUSTRY

Almost all industries of the current era have realized the importance of data science, but data science with machine learning remains an evolving field.

The field of data science is not as familiar with the field of drugs, i.e. the pharmaceutical industry, which is the main reason for unwillingness or unwillingness to use such techniques. . Currently, there are no such cases associated with the use of machine learning and data science.

But the benefits that data science would bring to the pharmaceutical industry are vast and unimaginable. The benefits of adopting techniques such as big data, machine learning, etc. They are:

1) DETAILED ANALYSIS OF THE CO-OCCURRENCE OF PRESCRIBED MEDICINAL PRODUCTS USING STATISTICAL TECHNIQUES

Machine learning algorithms and data science techniques help to create the group of drugs commonly produced in prescriptions.

Groups are created on the basis of disorders associated with a particular set of drugs such as diabetes, arthritis, etc.

2) CLASSIFICATION OF DOCUMENTS ACCORDING TO THE DOCTOR'S EXPERIENCE

The various requests received by doctors in the form of e-mails from patients are classified according to the specialization or experience of the doctors necessary to answer these questions.

Requests are processed automatically based on data entered manually in SVM (Support Vector Machines)

3) IDENTIFICATION OF THE DISEASE FOR WHICH THE PATIENT SUFFERS

Processing and analysis of medical transactions, lab test reports and data associated with patient appointments with doctors could help identify the disease that patients may be suffering from.

Data science and machine learning would be more helpful in grouping patients with similar disorders.

4) PATIENT ASSISTANCE TO FIND THE RIGHT DOCTOR

Machine learning algorithms would help patients find the right doctor, an expert on the disease they are suffering from.

In addition, it would also provide a detailed analysis of the associated costs and all other relevant factors.

5) HELP FIND THE SIDE EFFECTS OF A MEDICATION

Many drugs cause positive side effects for those who have not been tested, which means unknown positive side effects. These side effects are usually reported by people who have used these drugs, leading to unknown side effects, through online forums or surveys, or through social media platforms.

The data collected can be analyzed and interpreted to uncover and discover the unknown side effects of a drug.

The techniques and methodologies of data science equipped with machine learning are of vital importance, especially in the pharmaceutical industry, because little has been done in this sector. The behavior of medicine and disease must be governed randomly, which can only be done by data science.

The effective and efficient use of data science would lead to the discovery and production of safe and cost-effective products.

If you think you are in the pharmaceutical world and want to innovate and explore the latest Data Science Course in Los Angeles, take the online data science course offered by 360DigiTMG.