| Expiry period |
Lifetime |
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| Made in |
English |
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| Last updated at |
Thu Aug 2025 |
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| Level |
Beginner |
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| Total lectures |
20 |
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| Total quizzes |
0 |
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| Total duration |
Hours |
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| Total enrolment |
0 |
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| Number of reviews |
0 |
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| Avg rating |
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| Short description |
Data Visualization is the graphical representation of data and information using charts, graphs, and interactive visuals. This course introduces students to essential visualization tools and techniques that help in understanding complex data, identifying trends, and making data-driven decisions. Students will learn how to create impactful visuals using real-world datasets and develop skills in tools like Excel, Tableau, and Python libraries. |
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| Outcomes |
- Understand Core Concepts Grasp the fundamentals of data visualization, including types of charts, visual design principles, and the importance of visual storytelling.
- Choose the Right Visuals Identify and apply the most appropriate visualization techniques based on data type and purpose.
- Use Visualization Tools Confidently create data visualizations using tools like Microsoft Excel, Tableau Public, and Python libraries such as Matplotlib and Seaborn.
- Interpret and Analyze Data Draw meaningful insights from visualized data and communicate findings effectively to different audiences.
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| Requirements |
- Basic Computer Skills Students should be comfortable using a computer, navigating the internet, and handling files.
- Access to a Computer or Laptop A system capable of running Excel, Tableau Public, and Python-based tools like Jupyter Notebook.
- Internet Connection Required for accessing course materials, downloading software, and submitting assignments.
- Microsoft Excel (any recent version)-For practicing basic to intermediate-level data visualizations.
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