The PGP in data science is an excellently designed course. The course content of this data science certification course is very comprehensive and complete in nature. Not only will the learners be equipped with all the skills, abilities, and knowledge that they need to function as data scientists in the real world, they will also get a set of very prestigious and formal credentials next to their name.
This data science course also contains more than 12 capstone projects which will help the learners to gain valuable hands-on and practical experience. In this article, we will discuss what kind of a job one can get with a data science certificate.
- Data Scientist –
Average salary – $139,840
Typical job requirements – Data scientists have to locate large data sets which are suitable for analysis and processing. Next, they have to clean the data. This means that they have to remove the unusable sections from the data sets and make unstructured and unwieldy data seamless and structured. After that, they have to analyze the data.
The analysis includes initial data investigation and exploratory data analysis. They have to run an experienced eye over the raw data sets and select one or more potential models or algorithms to apply to the datasets. If one undergoes data science certification training, one can start a career as a data scientist easily.
In order to become a data scientist, you should get a PGP in data science certification.
- Machine learning engineer –
Average salary – $114,826
Typical job requirements – Machine learning engineers are responsible for designing and building machine learning systems. They are responsible for creating programs and using algorithms that enable machines to take actions and make decisions without being explicitly directed.
For example- A machine learning engineer may be asked to create software for a self-driving car or a newsfeed which displays customized content automatically. The main challenge this job role faces is introducing the ability to learn from experience in machines without programming the knowledge into them explicitly.
- Machine learning scientist –
Average salary – $114,121
Typical job requirements – Machine learning scientists have the responsibility of researching, designing, and implementing one-of-a-kind and highly scalable deep learning algorithms. They have to use these algorithms for processing complex kinds of data sets such as Spatio-temporal data related to climate and high energy physics.
Usually, they are hired by laboratories and other research institutions and have to work on areas related to scientific studies. They are also required to possess good communication skills as they often have to promote the research results by publishing them in scholarly publications and presenting them at leading conferences.
In order to become a machine learning scientist, one should take a data science certification course.
- Application Architect –
Average Salary: $113,757
Typical job requirements – Application architects are responsible for managing the overall architecture of a business or organization. They have to build and organize the software architecture of all the software applications used by a company.
They have to ensure that the suite of software applications works well together and have to design a plan regarding how they will interact with each other. They have to ensure that all the different software applications will work in synchronization seamlessly and that they will remain efficient, reliable, and scale-ready as the needs of the organization grow.
- Enterprise Architect –
Average salary – $110,663
Typical job requirements – An enterprise architect has to keep an eye on the business processes and make sure that they improve with time. He is the person in charge of the overall functioning of the entire business unit. He should have very good communication skills and very strong analytical skills.
He should be able to determine which legacy systems of an organization should be upgraded, which should be replaced, and which should be eliminated altogether. They should also be familiar with the latest trends in the technological world so that they can easily know which software, hardware, or services need to be changed or upgraded.
- Data architect –
Average salary – $108,278
Typical job requirements – A data architect has to develop database solutions in order to manage company information. This includes storing company data, retrieving company data, and manipulating company data. He has to configure the databases as the needs and requirements of his company change with time.
He is also responsible for maintaining and improving the structure of the data solutions which his company uses. He also has to make the decision of declaring systems as legacy and too old to be usable and help migrate company data from the legacy systems to newer, more advanced systems.
