What are dis advantages of data analytics? Difference between data science and data analyst?

Question

Accepted Answer

Disadvantages of data analytics include potential privacy concerns, data quality issues, and the need for skilled professionals. Data science involves more advanced techniques and focuses on predictive modeling.

Privacy concerns: Data analytics may involve handling sensitive information, raising privacy issues for individuals or organizations.
Data quality issues: Inaccurate or incomplete data can lead to incorrect analysis and decision-making.
Skilled professionals required: Data analytics requires expertise in statistics, programming, and data visualization.
Difference between data science and data analyst: Data science involves advanced techniques like machine learning and predictive modeling, while data analysts focus on analyzing and interpreting data to provide insights.
Example: A data analyst may analyze sales data to identify trends and patterns, while a data scientist may build a predictive model to forecast future sales.

What are dis advantages of data analytics? Difference between data science and data analyst?

Popular interview questions of Data Analyst

Top HR questions asked in OneSource Specialty Pharma Limited Data Analyst