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Introduction to Python & Pandas (Non-Developer Friendly)

Starts 30th January

Course Details

Build your organisation's data science and AI capability

Master the basics of data analysis with Python. Implement and utilise this widely used and beginner-friendly computer programming language to automate work processes, build new software and conduct accurate and up to date data analysis. 

This Introduction to Python online programme will equip you with the core knowledge and workplace application to carry out innovative and cutting edge solutions in your business.

This course is aimed at beginners, as well as existing programmers who want to increase their career options by learning Python.

To join this course you will need: 

  • To be comfortable using a computer and working with spreadsheets.
  • A personal device to complete pre-work and attend the course.

What will I learn?

Upon completion of this course, you will be better prepared to: 

  • Understand and complete Python concepts and actions 
  • Acquire an understanding of the basic concepts of programming computers using Python 
  • Develop programs to gather, clean, analyze, and visualise data.

Course breakdown

  • The Python Ecosystem
  • Python syntax and data structures
  • Programming with Python
  • Apply mathematical analysis to economic and financial information

Is this right for me?

This course is ideal for:

  • Anyone day to day coding requirements on Python Concepts
  • Entrepreneurs who are starting their own websites, apps and scaling their business digitally 
  • Learn the fundamentals of Python language.

As part of this course you will get: 

  • 4 half day live instructor-led interactive workshop with 1:1 in-class tutor support
  • 6 weeks access to EDUKATE.ai with workplace simulated assignments and immediate personalised feedback.
  • Certification pathway available: this course is part of the Data Analysis with Python
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Course details
Course:

Introduction to Python & Pandas (Non-Developer Friendly)

Registrations Close:

27 January 2023

Start Date:

30 January 2023

Duration:

10 weeks

Weekly

8 - 8 hours