Difference between Data analytics and Data science

Data Analytics

A Data Analyst process the existing datasets by performing statistical analysis. Analysts uncover meaningful insights for current problems by various methods of capturing, processing & organizing data.

Data Science

Data Science is a multidisciplinary field that uses various scientific methods, processes, algorithms & systems to extract insights from structured & unstructured data.

Key difference

  1. A Data Analyst mostly manages structured data. On the contrary, a Data Scientist is responsible for handling structured and unstructured data also.
  2. Data analyst analyze historical data while data scientist does future prediction.
  3. Data analysts have problem solving skill, knowledge of basic statistic and business knowledge while data scientists posses knowledge of mathematics, statistics and machine learning algorithms.
  4. Data analyst uses Power BI, Tableau, R(in some cases), SQL and many more. On the other hand, data scientists are proficient in Python, Hadoop, Spark, R, SAS, etc.

Salary Trends

Data Analyst Salary

According to Glassdoor, the average base salary for a data analyst is $68K per year.

Data Scientist Salary

According to Glassdoor, the average base salary for a data scientist is $115K per year.

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Kesha Shah

Kesha Shah

Passionate about self development , Technology — Computer Science student at RNGPIT , Bardoli.