Data Science with Python

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Course outline and syllabus

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  • Course Overview
  • Certification
  • Who should attend?
  • Prerequisite
  • Expected learning outcome

The Data Science with Python course is co-developed with IBM and provides a complete overview of Data Science analytics techniques using Python. A data scientist is one of the hottest fields today and Python is a crucial skill for many Data Science roles. The Python Data Science Course teaches you to master the concepts of Python programming. Through this Python Data Science training, you will gain knowledge in data analysis, Machine Learning, data visualization, web scraping, and Natural Language Processing. Upon course completion, you will master the essential tools of Data Science with Python.

To become a Certified Data Scientist with Python, you must fulfil the following criteria:

  • Complete one project out of the two provided in the course. Submit the deliverables of the project in the LMS which will be evaluated by our lead trainer
  • Score a minimum of 60% in any one of the two simulation tests
  • Complete 85% of the course
  • Attend one complete batch

The demand for Data Science professionals has surged, making this course well-suited for participants at all levels of experience. This Data Science with Python training is beneficial for analytics professionals willing to work with Python, software and IT professionals interested in the field of analytics, and anyone with a genuine interest in Data Science.

To best understand the Data Science with Python course, it is recommended that you begin with the courses including, Python Basics, Math Refresher, Data Science in Real Life, and Statistics Essentials for Data Science.

The Python Data Science Course teaches you to master the concepts of Python programming. Through this Python Data Science training, you will gain knowledge in data analysis, Machine Learning, data visualization, web scraping, and Natural Language Processing.

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