Over the last ten years, data science has changed in some really interesting ways. Let’s look at some important points that show how it has evolved:

1. Tools and Technology:

   • We’ve gone from using simple programming languages like R and Python to a wide variety of tools and platforms.
   • Now we have awesome tools like TensorFlow and PyTorch that make machine learning easier for everyone.

2. More Data Available:

   • There’s been a huge increase in data coming from places like social media and smart devices.
   • This means we have more data than ever before, which helps us learn and understand things better.
   • It’s said that by 2025, the world will create around 175 zettabytes of data! That’s a lot!

3. Working Together:

   • Data science is mixing different areas of knowledge, like statistics, computer science, and expert knowledge from different fields.
   • This teamwork helps us make better decisions and come up with new ideas.

4. Ethics and Privacy:

   • With all this power of using data comes the need to be responsible.
   • Issues about data privacy and ethics are becoming more important, which leads us to think about how we should use AI and data wisely.

In simple terms, data science is no longer just about doing calculations. It’s about using data carefully and responsibly to make a positive difference in many areas of life.