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There's no direct relation between Digital Marketing and Data Science. Let's make a comparison of 2 aspects:

1. ROLE

Digital Marketing:

It is a process of using online social media platforms like LinkedIn, Facebook, Instagram and other platforms, including but not limited to search engines (Ex. Google), YouTube, apps, websites and blogs to find prospective customers. You don't have to write code to make marketing models; you need to design things and find ways to reach the right audience.

Data Science:

Skipping the definitions already discussed all over the internet. In Data Science, we work with data visualisation. Say you reached the customers via digital marketing. You got the data like how many customers bought your product, how many showed interest, how many revisited your product page, what customers bought along with your primary product, and so on. Analysing this data and creating a model to maximise purchase/sales is one of the roles of a Data Scientist. Like when a product is recommended to you on Amazon, it is because of the model designed by data scientists. Whereas the poster of the latest phone you see is one the role by digital marketing, choosing the right colours, layouts, etc.

A very similar role coming from digital marketing to data science would be a marketing analyst. Digital Marketing requires no to very little knowledge of programming; Marketing Analyst involves knowledge of a few technologies. In contrast, Data Scientist requires knowledge of programming, including data mining, data analysis, data visualisation and predictive modelling using ML/AI.

2. CAREER

With the growing rate of online engagement and recent lockdown due to COVID, everything is shifting to virtual platforms. This is beneficial for both Digital Marketing and Data Science careers. More customers engaging online so more jobs in digital marketing as online competition will increase in businesses. Increase in requirement of image and video graphics for promotions, email marketing, content creation and other promotional strategies.

   

An increase in the above will generate large amounts of data, both on how these strategies perform. Moreover, how are customers interacting directly and indirectly? This data needs to be analysed by data scientists. Thus, creating a large number of jobs in data science. Digital Marketing and Data Science are going hand-in-hand in the aspect of career opportunities. One acts as a front-end, and the other is a back-end.

To conclude, both have plenty of jobs in the market if you have the appropriate skill set. I am not sharing statistics of jobs right now but will find all charts leading to an upward trend. If you search, focus on examining your capabilities and interest when choosing a career, not just based on the salary amount. If you have interest, you can perform better in your field and get a high-salary job in the same.

All images are sourced from google.

For Python, ideally, it takes two months for completing the syllabus. Then it needs practice. B.Tech Electronics with no computer science background can also learn python. It does not require additional effort to know everything in a computer science subject.

Getting a job depends on your logic.

 

 

Object and any thing exist in the world that is either living or non-living. For e.g. a pen, a book etc. An object is an instance of a class. A class is a group of similar objects. for example Animal is a class and cat, dog, cow etc are the objects of the Animal class.

Firstly, don’t hesitate to continue if you make mistakes while speaking or writing. Learn from your mistakes. Try to talk with persons in English whom you are comfortable with. Read English newspapers and watch English news on television. Try to write essays of your own and find the mistakes. Be confident, and you will become fluent in English.