A Complete Guide about Post Graduate Program in Data Science

Posted by Careerera Online on May 1st, 2021

Technology and Science run the world today. Until now, the 21st century has been a hallmark of achievement and inventions. Every time a new technological gadget comes on the market, it amazes us! How are we, the humans, developing with this pace of excellence and superiority? One answer to our question - Data Science!

Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning have altogether changed the way we view the world. This is the main reason why learners today are ready to opt for the trending and popular courses of the decade - Data Science certification. One of the most wanted and sought after of these is PGP in Data Science certification.

Post Graduate Program (PGP) in Data Science

The PGP in Data Science program teaches you to interpret and analyze data correctly. As a post-graduate course, the course structure and its offerings are none less in comparison to the Masters in Data Science program which is widely available and accessible online. In a highly digitalized scenario, Data Science has taken every field in its tight grasp.

The PGP course offers a deep insight into the topics of Data science that come with a blend of mathematics, algorithms, business acumen tools, statistics, and machine learning techniques. All of these help in finding out the covered and latent patterns from raw data sets - majorly structured and unstructured, that can be of considerable use in the emergence and development of big business decisions. Moreover, the course trains individuals to learn about main designs, ideas, and techniques ranging from Artificial Intelligence, Python, Exploratory Data Analysis to Machine Learning, Deep Learning, and more.

Why Data Science?

Why are Data Science certifications and Data Science training courses online experiencing such a boom? The answer is simple - ‘What moves the world, will move you!’ Notably, Data science is the reason behind every other scientific invention in the field of AI, ML, and Deep learning today. Due to these new modern technical innovations on the shore, businesses are stunned by the influx of so much data on the digitalized portals. Hence, they need people and professionals to understand and manage this inflow of data. They want the professionals to take up sensible, right, and authentic business decisions. They want answers to many questions that come up from the bosom of Aviation, Robotics, Astronomy, and Engineering fields. For, this they genuinely, need a professional and practical Data Scientist or some other professional, maybe an AI or ML engineer, Data Analyst, or Data Engineer, who can cope up with the technicalities of the technological world! Hence, studying Data Science and taking up Data Science as a course is so favorable for every learner in the field who has the right technical background!

Prospective Careers in the Field of Data Science

Have you decided that the ‘Science of Data’ is your ultimate career? Know what all job roles you can take up to make it big in the professional world:

1. Data Scientist - In any field, a data scientist’s role deals with everything that is on the road - every step of the project. This is the reason they offer better and clear insights, and offer the best solutions for projects that manifest recent patterns and trends.

2. Data Analyst - Data analysts are in charge of several tasks that deal with visualizing, transforming, and manipulating data. Many times they are also responsible for web analytics, tracking, and A/B evaluation.

3. Data Engineer - They are accountable for designing, constructing, and maintaining various network data pipelines. Data engineers work on batch processing of operated and collected data. They then match its formatted arrangement to the stored data.

4. Data Architect - Their major task is to ensure that the data is accessible and well-formatted for analysts and data scientists. They improve upon the data pipelines' performance.

5. Machine Learning Scientist - A machine learning scientist researches upon new, clear data and designs new algorithms that need to be used. Their work leads to research papers in the field of Research and Development.

6. Data Storyteller - This role is about finding the narrative for describing the data.

7. Machine Learning Engineer - They work on machine learning algorithms like clustering, classification and, categorization. Also, it is their task to remain up to date about the new researches in the domain.

8. Business Intelligence Developer - They design and develop strategies. This assists in making decisions quickly and quite efficiently.

9. Database Administrator - The DA monitors the whole database. S/he has to have a track on the flow of data. It’s his task to create backups, renewals, and recoveries.

Kick Start Your Career Now! - Various Related Degrees in Data Science

Looking to start your career with the right technical course? It’s easy, here we offer you an insight into the related courses and certifications in the field of Data Science that can help you initiate an illuminative and right learning journey.

Let’s have a look at various specialties in the domain of Data Science:

● Accounting Analytics
● Business Analytics
● Applied Statistics
● Business Analytics Online Degrees
● Business Intelligence
● Computer Science
● Computer Engineering
● Cybersecurity
● Information Systems
● Graduate Certificates in Data Science
● Geospatial Science
● Health Informatics
● MBA in Analytics / Data Science
● Ph.D. in Analytics / Data Science

From the plethora of subsidiaries available, you can choose any Data Science course and be a leader in a specific, targeted Data Science field.

Don’t Wait, Join PGP in Data Science today, with Careerera!