python, data structures, data analysis, Numpy, Pandas, matplotlib, Streamlit, plotly, dashboard, realtime problems
Sub Category
- Data Science
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Objectives
- Handle numerical data efficiently with NumPy
- Clean, organize, and analyze datasets using Pandas
- Create stunning visualizations with Matplotlib & Seaborn
- Build interactive dashboards with Streamlit
- Understand core statistical concepts used in data science
- Apply techniques to real-world datasets and examples
Pre Requisites
- Basic Python
- basics of statistics
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Coupon Code(s)