Difference between Data Analyst & Data Scientist
| Data Scientist | Data Analyst |
|---|---|
| Use Current data to discover opportunities | Use pre-existing data to solve a problem |
| Data Integration | Data Acquisition & Maintenance |
| Ad-hoc analyses | Pattern Identification & Analysis |
| Develop Operational Model | Optimize Statical Efficiency & Quality |
Develop Analytical Methods and Machine Learning Models | Used to create Reports |
| Data Cleaning | Create Dashboards |
| Conduct A/B Testing | Help gather incremental data from new sources |
| SKILLS REQUIRED – SQL | SKILLS REQUIRED – SQL |
| R/Python(Pandas, Numpy, Scikit Learn, Tensor Flow)_ | R/Python(Pandas, Numpy Matplotlib |
| Tableau/Power BI | Tableau/Power BI |
| Use NLP(Structured/Unstructured | Use Data Modeling |
| Apache Spark | SAS/SPSS |
| Required-Jupyter Notebooks/PyCharm knowledge | Required-Excel knowledge |
| Works on SAS/SPSS | Works on AWS/Azure |
| Data Scientist Salary: 85k | Data Analyst Salary: 45k |