Data Understanding and Data Visualization with Python

Learn data visualization from scratch

Key Features

Learn data manipulation and visualization from scratch
Master various Python libraries such as NumPy, Pandas, Matplotlib, and so on
Create interactive, insightful visualizations

What You Will Learn

Fundamentals of data manipulation and visualization
Use Pandas and NumPy for data manipulation
Handling text data with string
CRUD (Create, Retrieve, Update, Delete) operations on data
3D visualizations with Matplotlib and Plotly
Creating surface and scatter 3D interactive plots in Plotly

About

Data visualization has gained a lot of traction resulting from an increased focus on data analytics. To be a successful data scientist, data manipulation and wrangling is not enough. Visualizing data to garner insights is an equally important tool in the data science toolkit. Given the myriad types of data that exist, visualization has become an increasingly important topic.

This course will equip you with all the skills you need to successfully create insightful visualizations. The course first starts with the fundamentals of Python. Then, the course teaches you how to use libraries such as NumPy, Pandas, Matplotlib, Seaborn, Bokeh, and so on. Additionally, you will learn data manipulation, which is the step prior to visualization. You will also learn how to plot geographical data using Folium.

Each module in the course has practical hands-on mini projects. Hence, you not only learn the theoretical fundamentals of visualizations but also gain essential practical skills. With over 12 hours of content, this is one of the most comprehensive courses you will be doing on data visualization in Python.

The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/Data-Understanding-and-Data-Visualization-with-Python