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

Prerequisites

There are no prerequisites required to attend this course.

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Course Modules

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