What is the difference between data science and statistics?
Data science is a broader field that encompasses statistics, programming, and domain knowledge to extract insights from data. Statistics focuses specifically on data analysis and interpretation.
Can you give me examples of how each is used in real life?
Sure! Data science is used in areas like machine learning and predictive analytics, while statistics is often used in research studies and quality control.
Which one should I learn if I want to work in tech?
If you're aiming for a tech career, learning data science would be more beneficial as it includes programming and machine learning skills.
Are there any specific programming languages I should focus on?
Yes, Python and R are the most popular languages in data science, while SQL is essential for database management.
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