Machine Learning - Python and Pandas Fundamentals

Machine Learning - Python and Pandas Fundamentals

This second course in the Machine Learning series aims to help you start your practical journey. Learn Python fundamentals and the amazing Pandas data science library to load large datasets. You will also learn how to use the JupyterLab tool for Jupiter notebooks, perform data analysis and exploration, perform data cleaning and transformation as a pre-processing step before moving into machine learning algorithms. Each section has a summary exercise as well as a complete solution to practice new knowledge.

Course Goal

  • Understand Loading and Analyzing Tabular Datasets
  • Learn how to Select - Filter and Clean Data
  • Understand Python for Data Science and Machine Learning Projects
  • Learn to use the Pandas Data Science Library
  • Develop Jupyter Notebooks

Who This Training Is For

  • Consultants
  • Developers
  • IT/Business analysts


  • Certificate of Completion (more certification info)
  • Upon successful completion of this course, receive your Machine Learning - Python and Pandas Fundamentals certificate


Idan Gabrieli

5.0 Average Rating

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42 Students

10 Courses

Idan Gabrieli

Presales Manager | Entrepreneur | Cloud and AI Expert

Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases. As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.

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Language: English
Level: Beginner
Duration: 4 hours
Type:  Instructor-led
Category: Technology

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