Python is one of the most popular and sought-after programming languages all over the world. It is also the one with the most promising employment opportunities.
Every year, the demand for Python developers keeps on increasing. There is a reason behind the increasing popularity of this high-level programming language
Python ensures more concise and better codes that have faster readability, something that the language offers better than any other programming language.
Through its dynamic type system and automatic memory management, Python is able to support different standards of programming. With Python skills in your resume, you will have so many more career opportunities than you can ever imagine.
In this article, we will be discussing the different career opportunities after Python Certification.
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Career Opportunities after Python Certification
1. Python Developer
This is among the most direct and popular jobs that you can get after completing your Python certification course. There are so many jobs available for Python Developers and not enough skilled professionals to fulfil this demand.
As a Python Developer, you will have the following key responsibilities:
- Building websites
- Optimizing data algorithms
- Resolving data analytics problems
- Writing codes that are efficient as well as reusable
- Implementing data security and protection
Also Read: Top 10 Best Python IDES and Code Editors
2. Data Analyst
Data Analyst has become a very important and interesting opportunity for Python Developers. If you are skilled in Python and like to work with huge volumes of data and find meaning in it, this job is for you.
It is a very popular job opportunity since there are several companies that are hiring people who can work through the huge sets of data and find insights from it.
Python is the most preferred language for data analysts because its libraries come in handy during the data analysis process.
A few examples of such libraries are SciPy and Pandas. This is why companies want data analysts who have experience working in Python.
3. Product Manager
When it comes to helping the organization in getting an understanding of the market, Product managers play a key role.
They help the businesses understand why developing one product will be better for the company than developing another.
Their responsibilities include studying the market, researching for new features that are in relation to a specific category or product, and advocating the development of certain products using facts.
To fulfil all these responsibilities, Product managers should know how to work with data. This is why companies want product managers who are an expert in python as well.
Also Read: 5 Essential Tools To Develop Web Apps In Python
4. Machine Learning Engineer
In the last couple of years, the job postings for Machine Learning Engineer has significantly increased.
The responsibilities of a Machine Learning Engineer include building and training programs, machines, and computer-based students for applying their learning knowledge to make predictions.
Python is the ideal language for the field of Machine Learning because of its ability to work with data algorithms and automation.
The future scope for Python professionals
Organizations all over the world want Python experts who can come up with solutions that are exactly in line with the client’s requirements and are capable of making a difference.
Big Data, Data Science, and Networking are the three major areas that will see huge growth in the application of Python over the next few years.
However, the growth of Python can’t be limited to these areas. These areas are just the ones that have the most popular these days.
There is a high demand for Python Developers across the globe. However, the supply is extremely low.
Now is a great time for people to enrol in a Python certification course. It is the best way for you to add more value to your CV and your career goal.
Here is how Python skills can be broken down:
- Core Python – A basic understanding of Python is enough, complete knowledge of modules is not required.
- Object-relational Mappers – Involves connecting to the database using ORM, instead of SQL.
- Web Frameworks – This involves learning popular Python frameworks like Pandas and Django.
- Multiprocess Architecture – Understanding these concepts will help you with writing and managing threads for high performance.
- Python Applications – In order to build Python applications, you should know how to package up the code, deployment, and release.
- RESTful APIs – You should know how to use them and must be able to integrate them with components.
- Designing and communication skills – You must be able to communicate with other members and implement secure, scalable, and highly available servers.
So, we have now discussed the different aspects of a career in the Python programming language. If you want to take advantage of these opportunities, you need to pursue Python Training Online. This will help you get started with the language and secure the job that you want.
