Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5

stars

12,226 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

Dec 15, 2021

content is good and easy to follow, the labs are a great way to practice and I love the challanging final exam. Didn't make it the first try, but all good, that's when you really learn.

Apr 30, 2020

Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!

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