Back to Data Visualization with Python
Learner Reviews & Feedback for Data Visualization with Python by IBM
12,029 ratings
About the Course
One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights.
This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions.
You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash.
Top reviews
LS
Nov 28, 2018
The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.
CJ
Apr 23, 2023
Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.
Filter by:
1901 - 1905 of 1,905 Reviews for Data Visualization with Python
By Nicholas T
•May 26, 2021
Terrible guides and instructions
By Ludovico P
•Aug 9, 2020
really bad quality of LABs
By Naga s T
•Mar 17, 2023
not so great
By 肖广仁
•May 6, 2021
it sucks
By Shawn M
•May 9, 2021
Bad