Kaggle for Data Science

Kaggle for Data Science

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About Course

At AxeUSCE, we are committed to helping learners bridge the gap between theory and practice in data science. This course  Kaggle for Data Science  introduces participants to one of the world’s most popular platforms for data exploration, analysis, and competitions: Kaggle.

Participants will learn how to navigate Kaggle, explore its vast collection of datasets, and perform hands-on data analysis and machine learning directly through Kaggle’s environment using Jupyter notebooks. The course covers key domains including tabular data analysis, computer vision, and genomic clustering, providing a comprehensive foundation for practical data science applications.

By the end of this course, learners will be comfortable working on Kaggle, applying analytical skills to real-world problems, and showcasing their projects publicly.

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What Will You Learn?

  • By the end of this course, you will:
  • Learn to navigate and use Kaggle’s datasets and competitions.
  • Perform data cleaning, visualization, and modeling using Python.
  • Build and evaluate models for tabular and image data.
  • Explore genomic datasets and apply clustering techniques.
  • Work efficiently with Kaggle notebooks for hands-on learning.

Course Content

Kaggle for Data Science
The Kaggle for Data Science course by AxeUSCE introduces learners to the world’s most popular data science platform Kaggle. This course helps you understand how to effectively explore datasets, participate in competitions, and develop real-world analytical and machine learning skills. Through practical demonstrations using the Kaggle.ipynb working file, participants will learn how to handle tabular, image, and genomic data while building reproducible workflows for data-driven projects. Whether you’re a beginner entering the data science field or a researcher seeking to expand your analytical toolkit, this course will help you master the essentials of working with Kaggle for impactful data analysis.

  • Lecture 1: Kaggle Datasets
    10:00
  • Lecture 2: Kaggle Website
    11:45
  • Lecture 3: Tabular Data
    11:37
  • Lecture 4: Computer Vision
    27:55
  • Lecture 5: Computer Vision Example
    18:43
  • Lecture 6: Genomic Cluster
    09:29

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Your Instructor

Yasar Sattar MD M.Sc FACC

AxeUSCE is a medical education company for USMLE career guidance and research education. We train physicians and researchers for statistical analysis and research methodology. We also offer the American Board Review Crash Course.

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