Master data analysis with Pandas and Python through hands-on projects and real-world case studies.
Sub Category
- Data Science
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Objectives
- Data manipulation techniques using libraries like pandas in Python.
- Statistical analysis methods for exploring and understanding datasets.
- Machine learning algorithms and their applications for predictive modeling.
- Data visualization techniques to effectively communicate insights.
- Programming skills in Python and R languages.
- Proficiency in using libraries such as NumPy, Matplotlib, scikit-learn, and TensorFlow.
- Hands-on experience through projects and case studies.
- Practical application of learned concepts to real-world data science problems.
Pre Requisites
- Students should have a basic understanding of programming concepts, preferably in Python, and a fundamental grasp of mathematics and 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)