Learn Data Analysis, Machine Learning & Python — No Prior Experience Needed!
Sub Category
- Data Science
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Objectives
- Understand the core concepts of data science and how it applies in real-world scenarios.
- Gain a strong foundation in Python programming for data analysis and machine learning.
- Clean, transform, and visualize data using Pandas, NumPy, Matplotlib, and Seaborn.
- Query and manage data with SQL and connect to real-world databases.
Pre Requisites
- Basic understanding of mathematics, including: High school-level algebra Basic statistics (mean, median, standard deviation)
- Some familiarity with programming concepts: Variables, loops, and functions Experience with any language (Python, Java, C++, etc.) is helpful — Python preferred but not required.
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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