DIFFERENTIATING BETWEEN A PGD IN DATA SCIENCE AND A CERTIFICATE IN PYTHON PROGRAMMING

A Python certification is a formal recognition that signifies an individual’s proficiency in the Python programming language. It is typically awarded after an individual has passed an examination or completed a specific course that could last for 3-6 months which tests their understanding of Python’s core concepts, techniques, and best practices. You can either have a beginner’s certificate or a professional certificate, it all depends on your level of learning.

Here are some of the factors you should consider when weighing up the value of Python certifications:

• Skill validation. A Python certification provides a benchmark for skills. It offers a standardized way to prove one’s expertise in Python to potential employers or clients.
• Career advancement. Certification can provide an edge for professionals looking to advance in their careers or switch roles, making them stand out in a pool of applicants.
• Learning path. Pursuing a certification often provides a structured learning path, guiding individuals through various Python topics in a systematic manner.
• Networking. Some certification programs also offer membership to exclusive communities, allowing certified individuals to network with peers and industry experts.

A Postgraduate Diploma in Science in the field of Data Science introduces candidates to the practice of Data Science covering the scientific foundation, programming skills, domain-specific data analytics and ethical and legal frameworks. Data science is inherently multidisciplinary, with professionals across the humanities, health sciences, commerce, science and law all requiring an understanding of various mathematical and statistical data analysis techniques and the ability to use machine learning tools and computational techniques. Data Science is increasingly employed by professionals in all fields. Graduates of the programme can find data-orientated roles across multiple sectors including healthcare, finance, law, etc. Postgraduate courses are different from certificate courses. A PG course is usually longer in timeline than a certificate course. In most cases, a PG course will be around 1 year.

Here are some of the factors you should consider when weighing up the value of a PGD in Data Science:

• Learn advanced skills: A certificate course will cover the basics and related concepts, but a PG course will include a deeper understanding of all the concepts. You will go a step further in understanding the scope and responsibilities of a data scientist and be more adept at leading data science projects independently.
• Earn a higher salary: This is obvious. A PG professional will earn more given the in-depth knowledge and project work to his/her credit. With a PG degree, you can directly start in mid-senior roles. Even if you begin at the entry-level, you will still earn 10% more than a professional without a PG degree.
• Independently handle real-time situations: A PG course will include practical training that is more robust. You will become more adept at handling business situations with an agile approach.
• Networking: Even today, most job appointments are made through recommendations. When you spend one to two years in a college studying data science, you develop a bond with your peers who are all part of the world of data science. This network eventually helps you get or switch jobs, stay up to date, and expand your knowledge base.

Although a bit of Data science could be incorporated while learning Python programming earning a PGD in DATA Science gives you an edge in the competitive environment.