Overview
Data Wrangling & Exploratory Data Analysis with Python
Data wrangling and exploratory data analysis (EDA) are essential steps in any data science or analysis project. This four-day course is designed for beginners and provides a comprehensive foundation in data preparation and exploration using Python. Participants will learn to clean, transform, and gain insights from real-world datasets, making them well-equipped for data-driven decision-making.
Skills Covered
By the end of this course, participants will:
- Understand the importance of data wrangling and EDA in the data science process.
- Be proficient in using Python libraries such as Pandas and Matplotlib for data manipulation and visualization.
- Have practical experience in cleaning, transforming, and preprocessing data.
- Be able to generate meaningful insights from data through exploratory data analysis.
- Develop the skills to communicate data-driven findings effectively.
- Feel confident to apply data wrangling and EDA techniques to real world projects.
Who Should Attend
- Beginner level courses for aspiring Data Scientist.
- Anyone who is interested in data science.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with any Certification.
