Data Science & AI: Turning Information Into Innovation

Intro:
Every company generates data – but very few know how to use it effectively. That’s where data scientists come in.

Topics Covered:

  • Languages of Data: Learn Python and R for statistics, machine learning, and automation.
  • Visualization Tools: Master tools like Tableau, Power BI, and Matplotlib to turn numbers into insights.
  • Applications of AI: Explore how machine learning is powering everything from Netflix recommendations to fraud detection.

Conclusion:
With data science skills, you can solve real-world problems, optimize business decisions, and drive innovation in any industry.

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