Data Analysis Bootcamp

In this insightful session, we dive into the world of Exploratory Data Analysis (EDA), unlocking the hidden treasures within complex datasets. We explore essential techniques such as data visualization, statistical summaries, and data cleaning to extract valuable insights. Join us on this enlightening journey to harness the power of EDA and make informed decisions based on your data.

Jun 6, 2023, 10:00 AM – 12:00 PM



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Explore MLML Study Jam

About this event

In this captivating talk on Exploratory Data Analysis (EDA), we embark on an exhilarating journey into the world of data exploration and uncovering hidden gems within complex datasets. EDA is a crucial preliminary step in any data science project, enabling us to understand the underlying structure, patterns, and relationships within our data before diving into advanced modeling techniques.

During this enlightening session, we will delve into the core principles and techniques of EDA, equipping you with the essential tools to extract valuable insights from your data. We will explore various exploratory techniques, such as data visualization, statistical summaries, and data profiling, to gain a comprehensive understanding of our data's characteristics.

Throughout the talk, we will unravel the power of visual storytelling, as we showcase how data visualization techniques can breathe life into our datasets. We will learn how to create compelling visualizations, including histograms, scatter plots, box plots, and more, to identify trends, outliers, and potential data anomalies.

Furthermore, we will discuss the importance of data cleaning and preprocessing, addressing common challenges such as missing data, outliers, and data inconsistencies. By applying effective data cleaning techniques, we can ensure the reliability and accuracy of our analysis, paving the way for robust and meaningful conclusions.

Additionally, we will touch upon the significance of statistical summaries, exploring measures of central tendency, dispersion, and correlation. These powerful statistical tools enable us to quantify the relationships between variables and make informed decisions based on our findings.

Moreover, we will introduce the concept of exploratory modeling, where we use simple models to test hypotheses, validate assumptions, and gain preliminary insights into the predictive power of our data. This process lays the foundation for more advanced modeling techniques, ultimately enhancing our ability to solve complex problems.

Join us on this exhilarating exploration of Exploratory Data Analysis, where you will uncover the secrets hidden within your data and discover how to leverage its potential to drive informed decision-making. Whether you are a data scientist, analyst, or anyone seeking to harness the power of data, this talk will empower you with the knowledge and tools to unlock the true value of your data.


  • Joy Victor

    Dataedx Group

    Data research & learning assistant


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BUK Campus TV


  • Sarafadeen Ibrahim

    Linode, Lambdatest, etc β€” Freelance/Remote

    GDSC Lead

  • Jibril Wuya

    Community Relations Manager

  • Barakat Omolara

    Events Lead

  • Mohammed Al Ameen

    Technical Lead

  • Munir Abdullahi

    Member, Events team

  • Awodi Abdulmujeeb

    Hybrid Tech

    Graphics Lead

  • Amina A Zubair

    Public Relations & Partnerships

  • Kadir Abdulkudus

    Member, Technical team



    Member, Events team

  • Ibrahim Yabagi Habib

    Member, Technical team


    Member, Community Relations team

  • Khabab Adelere

    Graphics Co-Lead

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