Learn how to use popular Python libraries for data visualization, such as Matplotlib, Seaborn, Plotly, or Bokeh to create basic visualizations like bar charts, line plots, scatter plots, histograms, and pie charts.
Python’s versatile libraries like Matplotlib and Seaborn allow for the creation of a wide range of informative visualizations, enabling better decision-making.
Moreover, interactive visualizations built with libraries like Plotly enhance user engagement and exploration of data. Python’s scripting capabilities make it ideal for automating repetitive visualization tasks.
Ultimately, by presenting data visually, Python empowers businesses and professionals to identify patterns, trends, and outliers, improving understanding and communication while driving informed, data-driven actions.
Acquire knowledge and skills on the fundamental principles of data visualization, including selecting appropriate chart types, using color effectively, and maintaining clarity and simplicity.
Learn how to use popular Python libraries for data visualization, such as Matplotlib, Seaborn, Plotly, or Bokeh to create basic visualizations like bar charts, line plots, scatter plots, histograms, and pie charts.
Pre-Requisite
No pre-requisite. Data Visualization Using Pythonis suitable for everyone
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An international certification body based in Singapore, CASUGOL offers a wide-range of certification programs and executive workshops in digital transformation and emerging technologies.
Designed by industry experts, leading academics, and subject-matter experts, CASUGOL programs are based on the latest industry trends and best practices, aimed to develop the skills and knowledge of individuals in their area of professional, personal or academic interest.
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Founder and CEO, CASUGOL
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Certification Programs
Continue your education with us and gain the skills and knowledge in emerging technologies to advance your career by becoming a CASUGOL Certified Professional or earn a degree offered in collaboration with leading universities.
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