Career Comparison of Data Science or Digital Marketing
Data Science or Digital Marketing are hoped to engage in a comparative study of digital marketing and data analysis. These two professions have created a very high job demand today.
How to describe Data Science and Digital Marketing career fields -
In simpler terms, digital marketing is a marketing process in which we promote, sell, and provide our products and services online to targeted customers. But data science is a field that studies the data collected through various methods on selected topics and the pattern in it respectively and predicts what will happen next.
Of course, these two professions are not the same. If you want to do it as a profession, you should study as a jack. Of course, it depends on what you want to research; both are entirely different fields.
Let us consider Digital Marketing.
Digital marketing is another part of marketing where a brand is taken to consumers through digital media. You increase your brand value (brands) and publish your products online using various marketing methods. The result is to maximize your sales or profit online and reach customers and showcase your brand.
In Digital Marketing, you have to study topics -
1. Search Engine Optimization (SEO)
2. Search Engine Marketing (SEM)
3. Google Ads
4. Social Media Advertisements
5. Social Media Marketing
6. Content Creation and Content Curation
7. Email Marketing
8. SMS and Whatsapp Marketing
9. Content Management System
10. Blog Writing
11. Online Reputation Management
12. Website Creation and Design
13. Graphic Design
It is not difficult for digital marketers to study and understand all the above concepts. However, since it requires constant practice, Spending more time can be added to professional competence by excelling in each topic.
Required Technical Skills for Digital Marketing
- Programming Skills such as HTML, CSS, and WordPress
- Graphic Design tools handling and understanding Photoshop, Illustrator, Corel Draw, or other graphic design tools
- Sound Knowledge of OFFICE Package, MS office package, or other office packages
- Good Internet Literacy and proficiency in the web browser and data searching skills.
Required Non-Technical Skills for Digital Marketers
- You have to Knowledge in-depth about Marketing Concepts
- Sales Knowledge and audience requirements
- Good Writing, Reading Skills, and analytical skills
- Strong business sense
- Pleasant Communication skills
Let us consider Data Science.
Data science is an entirely different field of study than digital marketing, where you have to study many subjects. After optimal study of these one by one becomes possible in data science.
In Data Science, You have to study following Topics -
- Statistics
- Linear Algebra
- Calculus and Mathematics
- Programming Language such as Python or R, SQL, No SQL
- Big Data, Hadoop, and MongoDB
- Databases
- Data Visualization tools
- Cloud Computing
- Machine Learning
- Deep Learning
- Web Development languages (HTML, CSS, Flask, Django, Php)
Required Technical Skills for the Data Scientist
To become a successful data scientist, you can list several subjects you need to achieve. It is essential to be excellent in mathematics, computer programming, and statistics and have a high understanding of these.
Other technical skills required for Data Science
- Programming and coding languages
- Analytical tools Knowledge such as SAS, HADOOP, Spark, and R
- Working with Unstructured Data
- Non-Technical Skills
- Strong business sense
- Good Communication skills
- Data intuition
Minimum time duration to become professional -
Digital Marketing takes around 6–8 months to study.
Data Science takes around 1-2 years minimum of study
(This depends on the person and how much he studies, and both Data Science and Digital Marketing require lots of practice and which makes you an expert in it)
If you are looking for a high-paying job in either of these fields, having a master's degree or higher educational qualification is very important.
Generally, when looking at higher-paying ads, a company is looking for someone with a Master's degree or Ph.D. with at least 2-3 years of experience in a related field.
The starting salary is low if you are a newbie to the profession. It gradually increases over time in Digital Marketing and Data Scientist jobs.
How do we decide which field suits us best?
It depends on person to person and what you want to achieve in your career.
Digital Marketing as Career: Digital Marketing Professional
Many come into this field and earn high salaries by doing jobs.
It is straightforward for a fresher to enter the digital marketing field. This career is open to aspirants from engineering, commerce, arts, science, diploma holders, 12th pass, 10th pass, etc., backgrounds without distinction. A lot of content is available, and you will get a lot of guidance from peers to excel in this field. Anyone from any domain can easily switch to this field after doing a few courses online or offline, whatever suits you.
But as I say, it depends on what the person wants to achieve in his career. Also, depending on the field he loves the most, that person loves the sales and marketing field. Mainly social media marketing, website design, selling products online, and so on, so they can pursue a career in digital marketing. It is a good choice for candidates who want to brand a product, showcase it online and generate revenue for their respective companies. Online media is also an option.
Digital Marketing Job Profiles:
Digital Marketing Jobs
SEO (Search Engine Optimisation) Analyst
Digital Marketing Executive / Manager
Content Writer / Creator / Blogger
Social Media Executive / Manager
Campaign Analyst
Search Engine Marketing (Google Ads, Facebook Ads, Linkedin Ads, etc.)
Social Media Influencer
Online Reputation Management
Digital Marketing Analyst (Google Analysis)
Ecommerce Executive
Data Science as a Career : Data Scientist
The field of data science requires more effort than digital marketing as the scope of the subject is higher than that of digital marketing. So companies believe you should be perfect in this subject before applying because data plays an empathetic role.
Considering these factors, getting a job in data science is generally more complex than finding a job in digital marketing because the criteria required or set by the companies are very high.
If you can put in 2-3 years of dedication, then there is no bar to moving up in data science.
It is easy for the individual to overcome such obstacles and excel in data science. With a lot of hard work in 1-2 years, you can quickly become an expert and get an excellent job.
Depending on the data science job field, you can always start your journey as a data analyst or database manager. And career experts opine that engineers or statistics masters can become data scientists more quickly than others.
Data Science Jobs
Data Scientist
Data Analyst
Machine Learning Engineer
Data Engineer
Business Intelligence Analyst
Marketing Analyst
Research Analyst
Statistician
Data Architect
Researcher
Salary Range for Data Science Profession
A data science professional can earn a very high salary in America. The average annual salary is not less than $120,000. You can start your data science career with a salary of around 70000 Euros in major European countries, including France, Germany, and England.
Freelancing is always open In both Digital Marketing and Data Science. You can do Freelancing and earn some money out of it.
Comparison between Digital Marketing and Data Science:
Digital Marketing is less complicated than Data Science compared with studies and Jobs.
Anyone can quickly learn both Online as well as Offline.
Online resources for lean Digital Marketing or Data science are YouTube, Udemy, Coursera, google Garage, and many more.
Conclusion
Finally, both the fields of Digital Marketing, as well as Data Science are different but, at the same time challenging and require hard work to achieve excellence. It's a matter of choice and interest area of yours.
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