[150+ Questions Series] Master Python Data Analysis: Pandas, Visualization, Statistics, ML
Sub Category
- Other IT & Software
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Objectives
- Master data analysis techniques using Python.
- Learn to manipulate and analyze data with Pandas library.
- Visualize data effectively using Matplotlib and Seaborn.
- Perform statistical analysis and hypothesis testing.
- Explore data cleaning, preprocessing, and feature engineering.
- Apply machine learning algorithms for predictive modeling.
Pre Requisites
- Basic understanding of Python programming language.
- Familiarity with data types, variables, and functions.
- Access to a computer with Python and relevant libraries installed.
- Willingness to learn through problem-solving and practice.
- Open-mindedness towards exploring data analysis concepts and techniques.
- Enthusiasm for mastering Python for data analysis.
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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