Data Visualization with Python | python Data Analysis free course 

Data Visualization with Python | python Data Analysis free course 

One of the most important skills for successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and results in an accessible and stimulating way. In this course, you will learn many ways to effectively visualize both small and large data. You can take information that at first glance has little meaning and present the information in a form that conveys understanding. 

 

 In this course, you will learn to work with several data visualization tools and techniques. You will learn how to create a variety of basic and advanced charts and graphs, such as Fold Charts, Area Charts, Histograms, Bar Charts, Pie Charts, Scatter Charts, Word Clouds, Choropleth Maps and  more! You will also create interactive dashboards that enable those without data science experience to better understand data and make more effective and informed decisions.  You will learn practical knowledge through many labs and a final project to practice and apply  many aspects and techniques of data visualization using Jupyter notebooks and a cloud-based IDE. You  use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly, and Dash.

This course is part of multiple programs

This course can be applied to multiple Specializations or Professional Certificates programs. Completing this course will count towards your learning in any of the following programs:

• IBM Data Science Professional Certificate
• IBM Data Analyst Professional Certificate

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