Data Analytics and Data Science are two branches of the same tree, but with different purposes in their existence. Data Analytics is the more “Analytical” part of studying data, one that deals with the past and finding a pattern. Data Science is a broader study of data, one that studies anomalies, patterns, and predicts outcomes in the future.
Data Scientists build models that predict future outcomes, and Data Analysts analyze past data to gain insights that inform present decisions.
Data Analytics Courses vs. Data Science Courses: Curriculum Comparison
| Subjects | Data Science | Data Analytics |
|---|---|---|
| Maths |
|
|
| Programming |
Used for advanced data tasks. |
Used for common analysis tasks. |
| Common Courses |
|
|
| Other |
|
|
Data Analytics Courses vs. Data Science Courses: Skills Comparison
| Skill Comparison | Data Science | Data Analytics |
|---|---|---|
| Scope & Skills | Data Engineering, Computer Science, Statistics, Machine Learning, Predictive Analysis. | Data Integration, Data Analysis, Data Presentation. |
| Programming Skills | Requires strong and advanced programming skills for complex problem-solving. | Requires basic to intermediate programming skills. |
| Other Skills | Includes Data Mining, Model Building, and AI-based techniques. | Focuses on querying data, reporting, and visualization. |
Data Analytics Courses vs. Data Science Courses: Career Outcomes Comparison
| SL No. | Career Outcome in Data Science | Career Outcome in Data Analytics |
|---|---|---|
| 1 | Data Scientist, Machine Learning Engineer, Business Intelligence Developer, Data Engineer, Quantitative Analyst, etc. | Risk Analyst, Quantitative Analyst, Business Analyst, Data Engineer, Financial Analyst, etc. |
| 2 | Focuses on exploration, innovation, and prediction. | Focuses on insight generation and decision support. |
Which Option is Suitable for Different Career Goals?
Although the career outcomes in Data Science and Data Analytics are very closely related, some align better with one than the other.
If you want to become a Data Scientist, Machine Learning Engineer, or a Data Journalist, among others, then Data Science is the way forward for you in the future. If you want to become a Quantitative Analyst, Risk Analyst, or Business Analyst, then Data Analysis is the right course for you.
Key Takeaways
- The key takeaways from this comparison are that, while Data Science and Data Analytics are two career options that are very closely aligned, they are still distinct and unique from one another in many ways.
- Some career opportunities are more closely aligned with Data Analytics, such as Risk Analyst, Business Analyst, or Quantitative Analyst, whereas other career options, such as ML Engineer, Data Journalist, and Data Scientist, are what you can become if you pursue Data Science.
- Moreover, the skills required to excel in each of them are also different, and so is the curriculum, albeit with some similarities. Hence, this distinction was important to learn, since many students will be opting for an either/or career, and this blog clarifies any confusion about it.
