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Data Wrangling & Visualization

Course Introduction

Welcome to the DWV course of NavigationBA!

This course is designed to equip you with the essential skills and knowledge in data wrangling and visualization, enabling you to effectively analyze and present data. Throughout this course, you will learn how to clean, transform, and visualize data using various tools and techniques.

The programming languages used in this course are SQL and Python, which are widely used in the industry for data analysis and visualization.

Course Content

The course is structured into several modules, each focusing on different aspects of data wrangling and visualization.

The first topic will cover the basics of database management and SQL, including understanding database concepts, writing SQL queries to retrieve data, and performing data analysis using SQL.

The second topic will delve into data wrangling techniques using Python, including data cleaning, transformation, and manipulation using libraries such as Pandas.

The third topic will focus on data visualization using Python, where you will learn how to create various types of visualizations using libraries such as Matplotlib and Seaborn.

How to Use This Site

This site is organized into different sections corresponding to the course modules:

  • The "Topics" section 👆 contains the lecture notes, which mainly focus on the knowledge and concepts of each topic.

  • The "Case Study" section 👆 contains the cases of each topic, which will help you apply knowledges and skills in practical scenarios.

  • The "Empirical Analysis" section 👆 contains the empirical analysis of each topic, which will help you apply the concepts and techniques learned in real-world scenarios.

  • The "Practice Questions" section 👆 contains the practice questions of each topic, which will help you test your understanding and reinforce your learning.