Data Science Bootcamp

Data Science Bootcamp

Feb 23, 2023, 7:00 AM – Mar 16, 2023, 11:58 AM



Key Themes

Machine Learning

About this event

This 3-week boot camp is designed to provide participants with a comprehensive introduction to data science. Throughout the program, participants will learn essential data science skills and techniques that are necessary to work with data, extract insights, and make data-driven decisions.

Week 1 will cover the basics of data science, including an overview of what data science is and how it is used to extract insights from data. Participants will also learn techniques for gathering and preparing data for analysis, including data cleaning, data wrangling, and data preprocessing. The week will conclude with an introduction to exploratory data analysis and how to use statistical techniques to explore data.

Week 2 will focus on machine learning, which is a key area of data science. Participants will learn about different types of machine learning algorithms, including supervised and unsupervised learning. They will also learn how to use popular machine-learning tools and libraries like Scikit-Learn and TensorFlow.

Week 3 will cover advanced topics in data science, including data visualization, deep learning, and natural language processing. Participants will also have the opportunity to work on a real-world data science project to apply the skills they have learned throughout the boot camp.

By the end of the boot camp, participants will have a solid foundation in data science and will be equipped with the skills and knowledge necessary to succeed in this growing field.


  • Einstein Ebereonwu

    Data Analyst

  • Oluwatosin Olajide

    Finstaq Technologies

    Machine Learning Engineer


  • Johnson Tolulope

    Google Developer Student Clubs

    GDSC Lead

  • Alayande Daniel

  • Import java


  • Kamaldeen Sulyman


    GDSC Lead

  • Abdulsobur Abdulazeez


  • Aliu Ibrahim

    Designer Lead

  • Sheu Mariam

    Program and Operation Manager

  • Aminat Yahyah


    Technical Team

  • Firdausi Bello

    Management Manager

  • Afolayan Joshua


    Design Team

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