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Course Skill Level:


Course Duration:

3 day/s

  • Course Delivery Format:

    Live, instructor-led.

  • Course Category:

    Big Data & Data Science

  • Course Code:


Who should attend & recommended skills:

Programmers & data analysts

Who should attend & recommended skills

  • This introductory course is for programmers and data analysts who want to take advantage of Python’s tools and infrastructure for working with numerical data. Programming: Basic (1-2 years’ experience): Not required but helpful

About this course

Python for Scientists QuickStartis a brief ramp-up to get programmers going with the Python language, and to become familiar with some of the data science libraries available.
This is a hands-on programming class. All concepts are reinforced by informal practice during the lecture followed by graduated lab exercises.
Introduction to Python is a practical introduction to a working programming language. Students will immediately be able to start learning Python techniques for data science.
NOTE: This is not a data science concepts course. It covers tools available in Python for doing data science and how to use them, at an introductory level.

Skills acquired & topics covered

  • A brief overview of Python
  • The Python environment
  • Jupyter notebooks
  • Getting started
  • Basic input and output
  • Flow control
  • Lists and tuples
  • Working with files
  • Dictionaries
  • Functions and modules
  • Exception handling
  • Numpy and SciPy
  • Pandas
  • Matplotlib