What is the Difference Between Data Science and Applied Data Science

As most businesses are completely data-driven, the rise in opportunities for the data scientists and applied data scientists is expanding across various industries. Although Data Science and Applied Data Science field look similar, there are major differences between Data Science and Applied Data Science. Candidates must look at the differences between the two before choosing one of them.

Recommended: Top Certification Courses and comprehensive guide
Latest: Python Basics for Data Sciences
Don't Miss: Data Analysis and Data Science
Must Read: Top Data Science Boot Camp Courses

This Story also Contains

1. What is the difference between Data Science and Applied Data Science?
2. Difference Between Data Science and Applied Data Science
3. Focused Areas of Data Science and Applied Data Science
4. Data Science and Applied Data Science: Fees Comparison and Course Duration
5. Data Science and Applied Data Science: Eligibility Criteria
6. Scope of Pursuing Data Science and Applied Data Science
7. Data Science Certification Courses by Top Providers
8. Conclusion

Data Science and Applied Data Science share overlapping concepts yet differ in focus, applications, and career paths. This article explores the core distinctions between Data Science and Applied Data Science, their fees, scope, job roles, and salary trends. Whether you are an aspiring data scientist or curious about how applied data science fits into the broader landscape, this article will clarify your understanding.

Read more - Planning to Upskill Yourself? Enrol for a Program in Data Science

What is the difference between Data Science and Applied Data Science?

One can get a job in Data Science and Applied Data Science by doing a Data Science Certification course. These Data Science courses are worth it for those who want to evolve their career in this field. Read on to understand applied data science versus data science, What is applied data science? and the major difference between Data Science and Applied Data Science, along with online Data Science courses, their scope, and more.

Data Science: Data Science is the study of a combination of math and statistics, specialised programming, advanced analytics, artificial intelligence (AI) and machine learning with specific subject matter. The major objective of Data Science is to use methods from computer science, machine learning, and statistics to derive useful insights. The major key skills required for Data Science are Python/R programming, Machine Learning and AI, Statistical analysis, Data visualisation tools (Example: Tableau, Power BI), and Big Data tools (Example: Hadoop, Spark). Also Read: Online Data Science Courses & Certifications

Applied Data Science: On the other hand, Applied Data Science is a specialised subset of Data Science that emphasises implementing data-driven solutions in real-world scenarios. Applied Data Science is about practical applications, ensuring data solutions are actionable and aligned with organisational goals. The major key skills required are Business acumen, Project management, Data integration techniques, Applied machine learning, and Domain expertise (Example: healthcare, retail, finance)
Also Read: 30+ Courses on Data Science to Pursue

Difference Between Data Science and Applied Data Science

Data Science is research-orientated, whereas Applied Data Science is implementation-focused. Check the category-wise difference between data science and applied data science in the table below.

Difference between Data Science and Applied Data Science: Category-wise

Also Read: How to Get a High-Paying Job as Data Scientist

Focused Areas of Data Science and Applied Data Science

Before making the choice between the Data Science and Applied Data Science, check the focused areas of data science and applied data science in the table below.

Data Science and Applied Data Science: Focus Areas

Read More:

• Data Analytics vs Data Science - A Detailed Guide
• Top Data Science Bootcamp courses to pursue right now!

Data Science and Applied Data Science: Fees Comparison and Course Duration

Check the costs and duration of certification courses for Data Science and Applied Data Science vary based on the program type, institute, and delivery mode (online or offline)in the table below.

Data Science and Applied Data Science: Fees Comparison

Note: Fees depend on the institute and mode of study.

Data Science and Applied Data Science: Eligibility Criteria

• Data Science Courses: Bachelor's degree in computer science, mathematics, or a related field. Some advanced courses may require programming knowledge.
• Applied Data Science Courses: Basic understanding of data analytics and familiarity with tools like Excel or SQL.

Scope of Pursuing Data Science and Applied Data Science

There are several job opportunities in the applied data science and data science fields, as they both are interchangeable technical words in organisations. Careers in data science include Data Scientists, Senior Data scientists, Lead Data scientists, Data scientists in Computer Vision, Data scientists in image processing, and many others.

Some of the popular jobs in applied data science include Applied Data Scientist, Senior Applied Data Scientist, Lead Applied Data Scientist, Applied Machine Learning Engineer, Research Data Scientist, Applied Scientist, and others. Check the scope, job responsibilities and salary comparison for both the job profiles in the table below.

Scope for Data Science and Applied Data Science

Data Science and Applied Data Science: Salary Comparision

Source: Glassdoor, Payscale

Read more

• Statistical Data Science - Know What is Statistical Data Science
• Data Science vs Machine Learning - Know What is The Difference?

Data Science Certification Courses by Top Providers

There are a lot of education platforms who are providing the certifications in Data Science or Applied Data Science. Freshers who want to start their career in this field or working professionals who want to have career growth or switch their career to Data Science can choose these certification courses. Some of the major platforms offering Data Science certification course are mentioned in the table below.

Top Providers offering Data Science Certification Course

Conclusion

As the difference between Data Science and Applied Data Science are mentioned in detail here, it is clear that Data Science and Applied Data Science are related fields to some extent. However, they differ in their focus and objectives. Data science uses the latest technology and this technology will not fade until there is no data left to collect. Data scientists have a huge impact on the success of any business. If you want to be a data scientist, then start learning, get a professional data science certificate, and begin with extracting insightful data from the datasets. Whether it is finance, manufacturing, or IT services, data science will certainly help in the success of your business.