Python for Data Science

Python is a very powerful programming language used for many different applications. The ability to analyze data with Python is critical in data science. This course will introduce the learners to the basics of Python programming and it’s applications in solving big data problems.

Python for Data Science Course Overview

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Python for Data Science Course Outcomes

  • Learn Python programming language fundamentals, including basic syntax, variables, and types
  • Create and manipulate regular Python lists
  • Use functions and import packages
  • Build arrays, and perform interesting calculations
  • Create and customize plots on real data
  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

Who Should Attend

This course is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, social network analysis, and text analysis techniques to gain new insight into data.

Course Fee: SGD 1600

Post Course Advisory Service

At the end of the course, you can request for a free advisory service on either career or organisation improvements. The duration of the advisory service will be conducted by the Course Manager and will be capped at 1 hour for an individual and 3 hours for an organisation, with a validity period 3 months from the course completion date.

Register Your Interest For Python for Data Science Course

You will receive a follow up email to make payment before the class starts.

Have Questions? We are happy to answer them
Call us on +65 91453436 or email us at [email protected]

Frequently Asked Questions

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