Should You Choose Data Science or Data Analytics? Skills, Jobs, Salary & Career Growth
Both are in-demand career choices. Both pay well. Companies need professionals for both roles these days. So many budding data professionals find themselves in a dilemma. That’s choosing between data science and data analytics. So, lately, if you have also been wondering what to choose between the two, you aren’t alone.
Given data’s importance today, both are immensely promising careers. But the key to thriving in either is making a thoughtful choice. You must know what both mean, what skills you must develop, and what salary and job prospects you have to be able to enjoy your career journey.
So, if you are enrolling in a data analytics course in Pune or a data science course in Pune, you must read this blog to make an informed career decision.
What are Data Science and Data Analytics?
Data science combines mathematics, statistics, programming, and machine learning to solve complex problems. For instance, a retail company uses data science to predict future demand, recommend products or determine which customers are likely to buy and which ones may stop.
Data analytics, on the other hand, involves examining historical and current data to identify trends, measure performance, and answer specific business questions. For example, an eCommerce company analyzes customer purchases to understand upward or downward sales trends in a month.
Data Science vs Data Analytics – Key Roles and Responsibilities
Both the roles deal with data. Yet, what they involve doing with data determines the value they deliver and thus, their significance.
Data Scientist Responsibilities
- Work with large, complex, and sometimes unstructured datasets.
- Apply statistical techniques to identify patterns and relationships.
- Develop predictive models using machine learning algorithms.
- Test, evaluate, and improve model performance.
Data Analyst Responsibilities
- Collect, clean and organize data from different sources.
- Analyze sales, customer behavior, business performance, and trends.
- Create dashboards and reports with Power BI and Tableau.
- Write SQL queries to extract relevant information from databases.
- Present findings and recommend practical improvements to teams.
For example, a data analyst identifies which customers generate the most revenue. On the other hand, a data scientist develops a model that predicts customers likely to make their next purchase.
Data Science vs Data Analytics: Skills Required
Both are highly competitive and demanding roles. Therefore, you need a plethora of skills to excel in your role, whether as a data scientist or analyst. However, some core skills include:
| Skill | Data Scientist | Data Analyst |
| Core Languages | Python or R (Advanced), C++/Java | SQL and Python (basic to intermediate) |
| Data Visualization | Matplotlib, Seaborn, D3.js | Tableau, Power BI, and Excel |
| Mathematics and Statistics | Advanced Statistics, Linear Algebra, Calculus | Descriptive Statistics, Basic Probability |
| Specialized Technologies | Machine Learning (Scikit-Learn, TensorFlow, PyTorch), Big Data (Spark, Hadoop) | Spreadsheets, SQL Databases |
| Soft Skills | Problem Framing and Formulation, System Architecture and Research | Storytelling, Domain Expertise, Communication |
Data Science vs Data Analytics: Job Roles and Titles
Based on your experience, skills, expertise, and portfolio, you can explore the following roles after completing your data science course in Pune and data analytics course in Pune, respectively.
- Data Analytics: Data Analyst, BI Analyst, Marketing Analyst, Operations Analyst, Financial Analyst, Product Analyst.
- Data Science: Data Scientist, ML Engineer, AI Specialist, NLP Engineer, Data Mining Engineer, Research Scientist.
Data Science vs Data Analytics: Salary in India
Salary is yet another vital consideration while choosing a career. It is obvious for everyone to select a high-paying career. However, salaries largely depend on your profile, past experience, domain knowledge, location, technical expertise, complexity of role, job roles and responsibilities, industry demand, and several other factors.
So, when it comes to data science and data analytics, here’s an indicative annual salary range in India for various experience levels.
| Experience Level | Data Scientist | Data Analyst |
| Entry Level (0-2 Years) | ₹5–10 LPA | ₹3–7 LPA |
| Mid-level (3–5 years) | ₹10–20 LPA | ₹6–12 LPA |
| Experienced (6+ years) | ₹18–30+ LPA | ₹10–20+ LPA |
Apparently, data science roles may command higher salaries, given the higher responsibilities (such as developing predictive models and solving complex business problems) they involve. Yet, that doesn’t mean data analysts draw an incompetent salary figure. Experienced ones, including BI Specialists and analytics managers also earn competent salaries, especially while working in product companies and the financial services domain.
Hence, while selecting a career, you must avoid making a choice based merely on the salary you will earn. Choosing the right career is more about considering and developing the skills actually required. Salary follows!
Data Science vs. Data Analyst: Career Growth
Data is often called the new oil, fueling business growth. So, since both career streams deal with data, they have exciting, rewarding career opportunities in the long run. While data scientists can progress to senior roles in data science, ML, and AI, data analysts can move up the ladder to work as a senior data analyst, BI developer, analytics consultant, analytics head, and more.
However, it might also interest you to know that you can switch internally between both. Yes. For example, a data analyst who learns Python, statistics, and ML can move to data science based on their practical expertise. Similarly, a data scientist can specialize in business intelligence, product analytics, or strategic decision-making to access higher-paying roles.
Need More Guidance? Visit Jason School for More Career Insights into Data Science and Data Analytics.
Jason School is a place where we don’t just impart education, certification, and technical knowledge. We value the importance of choosing the right career and shaping it. Therefore, when you visit us, our counselors help you make an informed choice between a data analytics course in Pune and a data science course in Pune, based on their assessment of various factors.
After that, you embark on an exciting learning journey that involves strengthening concepts, gaining practical exposure, and receiving placement assistance after completing the course.
So, don’t stay confused. Call us at +91 79720 78620 and schedule a visit to our institute to discover more and choose the right career.
