Python is a general-purpose programming language widely used in scriptwriting, web development, and app development and testing. Along with it, Python offers automatic memory management and dynamic system which supports several programming ways. An expert in Python has different career options, as a data scientist or as a developer. Here, we will discuss the lucrative career opportunities in Python.
Career Options for Data Analytics
You should have a complete understanding of various numerical and scientific modules to grab attractive career opportunities. For experienced programmers, salaries may go higher up to 8 lakhs to 12 lakhs per annum. You have to demonstrate your skills well and negotiate with the employer.
You should also learn the basics of the programming environment. You should be well versed in data manipulation and cleaning techniques. You have to analyze data, take tabular data, manipulate and process it and run basic statistical analyses.
There are certain Python libraries and tools you can use to take your predictive modeling skills and data analytics to another level by completing the Data Analytics course for Python programming. You should learn the basics of the programming environment, such as basic Python techniques.
Job Opportunities in Data Visualization
In Media Houses
Infographics are widely used by news channels these days. Every day, media houses print maps, graphs, charts, and plots in newspapers. As news continues to grow these days on the web, so do the innovative data visualizations. The New York Times has its official graphics department and a group which is dedicated to visualization. Some of the other common examples are The Washington Post and MSNBC.
There are different data visualization experts who are skilled as graphic designers. There are many design studios performing data visualizations which work for the web and other things, such as physical installations, branding, or art pieces. Some of the common examples are Bestiario and Stamen Design.
Analytics groups are supposed to be more about applying visualization techniques, research labs look for the ways to improve the new and existing data representations. They are known to experiment, analyze, design and write papers. In AT&T Labs, a small group is always focused on showing network graphs. On the other side, IBM Visual Communications Lab works on social data analysis.
This area of application is pretty obvious to use data visualization. Academics is much like working in a research lab and there are many academic groups that serve as a research lab. You will often witness the connection between both. Professions should always work with graduate students.
Many companies need a full-time visualization expert. They need support with things around. There are different online developments benefit from some visualization.