Master Data Science & Machine Learning: Python, Statistics, SQL, & Tableau for real-world projects.
Sub Category
- Other IT & Software
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Objectives
- Master Python programming for data science, including libraries like NumPy, Pandas, and Matplotlib.
- Understand core statistical concepts for data analysis and hypothesis testing.
- Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
- Implement supervised machine learning algorithms: Linear/Logistic Regression, Decision Trees, SVMs.
- Work with real-world datasets to solve practical data science problems
Pre Requisites
- No prior programming experience required; suitable for complete beginners.
- Basic computer literacy and enthusiasm to learn.
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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