Master Data Analysis with Python: Visualize Data, Clean Datasets, Analysis Using Matplotlib, Seaborn, Pandas and NumPy
Sub Category
- Data Science
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Objectives
- Introduction to Python
- Data Types and Variables
- Operators and Expressions
- Control Flow (if/else, loops)
- Functions and Modules
- Introduction to Pandas
- Data Loading and Cleaning
- Data Filtering and Selection
- Introduction to Matplotlib
- Creating Basic Plots
- Working with Subplots
- Introduction to Seaborn
- Exploratory Data Analysis with Seaborn
- Introduction to NumPy Arrays
- Array Operations and Broadcasting
- Linear Algebra with NumPy
- Machine Learning Concepts
- Supervised Learning Algorithms
- Model Evaluation and Selection
- Introduction to APIs
- Making API Requests
- Web Scraping Techniques
Pre Requisites
- Basic Python knowledge is helpful but not required
- No prior experience with data analysis or visualization needed
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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