Learn to harness the power of Python's matplotlib and seaborn libraries for data visualization in this guided project. Add data to Pandas data frame, plot graphs, create boxplots, set labels and legends, and save graphs as images. This course is designed for individuals in the field of data and data analysis, as well as those seeking to enhance their Python and Pandas library skills.
Certificate Available ✔
Get Started / More InfoPrepare for a career in data analytics with Google's professional training program. Gain in-demand skills and connect with top employers for career opportunities....
Building Data Visualization Tools equips learners with the skills to create new visualization techniques and building blocks, using the ggplot2 framework. Gain the...
Explore and analyze FIFA's datasets using Python in this 1-hour project-based course, covering data loading, tidying, visualization, feature engineering, and more....
Data Wrangling with Python is a beginner-friendly specialization that covers fundamental tools, data collection, understanding, and preprocessing, preparing students...