Data Analysis with Python
Course Prerequisite(s)
- Please note that this course has the following prerequisites which must be completed before it can be accessed
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Data Preparation and Cleaning With Python
ABOUT
In the rapidly evolving field of data science, the ability to analyze data is a fundamental skill. This course provides a comprehensive introduction to data analysis techniques using the Python programming language.
Throughout the course, students will learn how to identify and handle missing data, deal with outliers and anomalies, clean and preprocess data, perform data validation and quality checks, and utilize Python libraries such as Pandas and NumPy for efficient data manipulation.
MODULES
Introduction to the course
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Course overview
Types of data vs variables
Descriptive Analysis
Exploring Relationships
Hypothesis Testing
Capstone Project (Optional)
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