Data Visualization for Beginners: How to Make Sense of Big Data

University Of Abuja
Mon, Jan 30, 8:00 PM (WAT)

Data visualization is the process of creating graphical representations of data in order to make it easier to understand and communicate insights. Making sense out of data is a top notch skill the could be learnt. Our speaker will be telling us all we need to know about this topic.

About this event

Data visualization is the process of creating graphical representations of data in order to make it easier to understand and communicate insights. Some common types of data visualizations include:

  • Bar charts: A chart that uses bars to compare different values or categories.
  • Line charts: A chart that uses lines to show changes in data over time.
  • Pie charts: A chart that uses wedges to show the proportion of different values or categories.
  • Scatter plots: A chart that uses dots to show the relationship between two or more variables.
  • Heat maps: A chart that uses color to show the density or distribution of data.
  • Tree maps: A chart that uses nested rectangles to show the hierarchical structure of data.
  • Dashboards: A collection of visualizations that are used to present key performance indicators or metrics.

Data visualization can be done using various tools like Tableau, PowerBI, Excel, matplotlib, seaborn, ggplot etc. It is important to choose the right type of visualization for the data and message that you want to convey.

Speaker


Organizers

  • Mubarak Shuaib Olasunkanmi

    Mubarak Shuaib Olasunkanmi

    Mubah_dev

    GDSC Lead

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  • Christiana Osun

    Christiana Osun

    Co-lead, Communications & content lead

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  • Onyedikachi Benjamin Ogbonna

    Onyedikachi Benjamin Ogbonna

    Co-Lead, lead Program Manager

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  • Okpowe Collins

    Okpowe Collins

    Lead, Media & Design

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  • KUFORIJI Ibrahim

    KUFORIJI Ibrahim

    Titan Inc

    Team Member, Learning & Development

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  • egunleti opeyemi

    egunleti opeyemi

    Team Member, Program Management

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  • Afolabi Maryam

    Afolabi Maryam

    Team Lead, Data Science

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  • Ameerah Garba

    Ameerah Garba

    Member Data Science

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