9 High Paying Careers To Choose After Learning Python


Python has recently become one of the world’s most widely-used programming languages. Python programming language that is commonly used to create websites and applications, automate operations, and perform data analysis. Python is widely used to develop a wide range of applications and is not specialized or customized for any particular problem. Moreover, because of its versatility and beginner-friendliness, it has become one of the most popular programming languages today. It is highly suitable for both developers and non-developers alike.

Python is widely used for both web and software development, task automation, analysis of data, and data visualization. Python has been used by many non-programmers, like accountants and scientists, for a wide range of common tasks, such as arranging finances, due to its relative ease of learning.

Python certification will teach you how to utilize the most widely used high-level, general-purpose multiple objective languages in the world. In the Python course, you’ll learn both basic and advanced Python concepts, including Machine Learning, Deep Learning, Hadoop streaming, and MapReduce, and also how to use packages like Scikit and SciPy.

9 High Paying Career Options after taking Python Course

Python is a simple and easy programming language. Python’s easy-to-understand syntax and compilation feature decreased development time in half. It also includes a number of libraries for data analysis, visualization, and manipulation. As a result, it has become the most popular language, as well as the “Next Big Thing” and a “Must” for professionals. Today, we will talk about the numerous Python job options available to Python programmers with the high pay in the industries.

After completing the Python certification course, you will have a wide range of work opportunities. Few of them are1. Python developer2. Data analyst3. Product manager4. Machine learning engineer5. Research Analyst6. Data Scientist7. Software Developer8. Full-stack developer9. Python Application Engineer10. Financial advisor11. Quality assurance engineer12. GIS Analyst

1. Python developer: A Python Developer is a part of a software development team who uses the Python programming language to create, design, and deploy computer applications and systems. Debugging in Python development projects is also the responsibility of a python developer.

A Python developer usually works on the back-end (server-side) of an application. With the advent of machine learning and data science, however, python developers are now tasked with more than just writing code and debugging bugs; they are also tasked with connecting apps to third-party web services and assisting the front-end development team in bringing their features to life for the user interface.

2. Data analyst: A data analyst collects and organizes data on sales, market research, logistics, linguistics, and other activities. They bring technical expertise to ensure high-quality and accurate data, then analyze, develop, and present it in ways that help people, businesses, and enterprises to make better decisions.

3. Product manager: A product manager finds the consumer demand and larger company objectives that a product or feature will meet, articulates what success looks like for a product, and rallies a team to make that vision a reality.

4. Machine learning engineer: Self-running AI software is developed by machine learning engineers to automate predictive models for recommended searches, virtual assistants, translation applications, chatbots, and self-driving cars. They design machine learning systems, apply algorithms to make accurate predictions, and fix data set problems.

5. Research Analyst: A research analyst conducts research, gathers and analyses data, and uses the information to solve problems and improve a company’s decision-making and efficiency. The data is analyzed by the research analyst, who then makes recommendations to the leadership team.

6. Data Scientist: To build hypotheses, make inferences, and analyze consumer and market trends, a data scientist needs a lot of data. Data collection and analysis and the use of various analytics and reporting tools to identify patterns, trends, and connections in data sets, are all basic responsibilities.

7. Software Developer: A software developer’s job includes identifying, building, installing, and testing a software system that they have created from the bottom up for a corporation. It might range from developing internal programs that assist firms in becoming more productive to developing solutions that can be marketed commercially.

8. Full-stack developer: Designers and developers of websites and platforms are known as Full Stack Developers. They collaborate with design teams to make sure user interactions on web pages are simple and enjoyable. They also offer back-end functionality that works flawlessly on every device or browser type currently in use.

9. Python Application Engineer: Customers are analyzed by applications engineers in order to design applications that respond to their needs and provide novel solutions to prevalent problems. To verify that the products are satisfactory, they do prototyping applications and code reviews.

Some more career options

Here are 3 more amazing career options that you can follow after getting  Python certification

1. Financial advisor: A financial advisor is a person who helps clients to decide how, where, and when to invest their money. They could provide advice on how to create a well financial plan or specific assets that fit into a larger financial strategy.

2. Quality assurance engineer: A quality assurance engineer supervises every stage of software development, including design, development, testing, debugging, and delivery. They ensure that the software fulfills quality standards at each stage and that the final product meets the specifications. Tests are also written by a QA engineer to guarantee that the product is free of technical problems. They analyze data, identify bugs, and document results in an office or a lab setting in front of a system.

3. GIS Analyst: Mapmaking, geographical analysis, or software creation are some of the specialties of a GIS Analyst. The primary responsibilities involve analyzing spatial data and creating digital maps using mapping software. This data is gathered by GIS analysts in order to make judgments regarding how land is used.

After learning Python, you have a wide range of career opportunities. Even though we just highlighted a few options, there are several other paths you can take.