Last Updated on November 11, 2023 by Hina Rubab
It is known that we live in the digital era where an enormous amount of data is produced daily. Due to the speedy growth of data, Data science came into the picture which is a multidisciplinary field. Here comes the vital role of the data science process that enables organizations to measure, track, and record performance metrics for facilitating organizations/businesses-wide enhanced decision making. The primary goal of data science is to find trends or patterns within available and gathered data sets. It is a perfect union of various algorithms, tools, and techniques, for example, statistical techniques to analyze and draw insights from the data. This process can help humans to make more sound and informed decisions.
Data science is considered one of the crucial features of almost every organization as it helps them make decisions based on trends, statistical numbers, and facts. It is a concept that brings together machine learning, ideas, data examination, and other related techniques to comprehend and dissect genuine phenomena with data. Data Science is a huge field that uses many methods and concepts that belong to other fields like information science, statistics, mathematics, and computer science. So there is a huge demand for data science experts to solve data-related issues in any organization. It results in the increased demand for PG in Data science that can help professionals to gear up their careers in this drastic domain.
So this article will help you understand what PG in data science is?
Table of Contents
What is Data Science?
Before understanding what is PG in data science, let us have a short introduction to data science. Data science is known as a multidisciplinary field that involves scientific approaches, algorithms, procedures, and frameworks to get sound knowledge and insights from a huge amount of data. It is an extension of various data analysis fields such as statistics, data mining, predictive analysis, and many more. Simply, data science examines which question requires answering and where to find the related data to give the right answer.
Data Science is a wide branch of studies that deals with a wide range of data sets using advanced tools and techniques to find hidden patterns, derive valuable information, and make improved business decisions. It is also a field that involves domain expertise, knowledge of mathematics, programming skills, and statistics to extract meaningful insights. To perform data science tasks, data scientists use ML algorithms for text, numbers, videos, audio, and more to produce AI (artificial intelligence)systems to perform tasks that ordinary need human intelligence. So several companies have realized the importance of data science, artificial intelligence, and machine learning as they can help them remain competitive in the age of big data need to develop and implement data science capabilities effectively.
What is PG in Data Science?
The term PG refers to the Post-graduation program course in Data Science. Several reputed companies provide these courses to achieve higher standards in this domain. These PG data science courses have a comprehensive curriculum covering programming languages, statistics, machine learning algorithms, and more. These PG courses are specially designed to learn top skills of data science. You can learn predictive analysis using Python, big data, data visualization, machine learning, and many more useful features.
Data science PG courses help you become an industry-ready stack route certified data science professional through immersive learning of data visualization and data analysis, NLP, forecasting and predicting models, ML models, deep learning, and more. It can also help you gain a wide spectrum of skills to effectively and confidently join data science teams. It can also transform learners with no data analytics or no programming background into confident data science professionals who can impact positively data science lifecycle activities like data analysis, data preparation, applying ML models, using NLP for text analysis, data visualization, statistical analysis & data modeling, data-based storytelling, and deep learning.
Courses in PG Data Science
Many reputed companies are providing high-level post-graduation courses such as PG DS with streams: R programming, Python for Data Science, Data Science with Python, Data Science with R, Tableau Training, Machine Learning, Data Science Capstone, etc. Some of the best PG data science courses are mentioned below.
- Post Graduate Program in Data Science from Purdue University and Simplilearn
- UpGrad – PG Diploma in Data Science from IIIT Bangalore – Hybrid
- Great Learning – PGP Business Analytics & Business Intelligence
- Manipal ProLearn – PG Certificate Program in Data Science and Machine Learning
- Advanced Program in Data Science by IIM Calcutta
- Post Graduate Program In Data Analytics by Imarticus
- Post Graduate Program in Data Science and Business Analytics by Great Learning
- Jigsaw Academy – Postgraduate Program in Data Science and Machine Learning
These PG DC courses can help you kick start your journey in the drastic field of data science, where you can explore your data skills and expertise. These courses can empower individuals with the additional set of skills and knowledge to satisfy their career requirements or goals.
Eligibility for PG Data Science Courses
Basic eligibility or requirements for a PG DC course are based on personal interest and fundamental skills more than the educational background or field to which the candidate belongs. For learning data science deeply, Sound knowledge of mathematics and statistics is required to learn the basics of data science and basic understanding of data and computing. Sound knowledge of using algorithms for data modeling, knowledge of computing and networking along with ML concepts and data is also required for these Pg courses. Of course, a graduate course related to IT or Computing and also courses with basics of computer applications and data science as a part of the syllabus can also help a lot to begin a career in this domain. Here, a good understanding of information analytics and data analysis is required to gain valuable insights and proficiency in programming languages. The ability to use these languages to model or empower data requirements is needed to learn Data Science thoroughly.
So it is known that Data science is a wide sector that involves several kinds of practices utilizing large amounts of data by processing and computing power in order to tackle data requirements and gain valuable insights. A good PG degree or diploma in this field of advanced data science can help individuals from the same area or even from other fields pursue data science or data analytics if they wish to and increase the scope of application of their skills in various organizations that have requirements for data scientists.
Start your preparations today, enroll for the PG courses in data science, and find your niche.