What is the difference between data science and data analytics?

They overlap, but the focus is different.

• Data analytics looks at existing data to answer specific business questions, such as “Why did sales drop last month?” Analysts use tools like Excel, SQL, Power BI and Tableau, and create reports and dashboards.
• Data science goes further, building models to predict the future or discover patterns, such as forecasting demand or recommending products. Data scientists use programming (Python, R), statistics and machine learning.

Data analytics is usually easier to enter and a great starting point. Many people begin as analysts and move into data science as they build programming and modelling skills.