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Data Preparation
and Exploration Using Python

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Forthi Technologies

Forthi Technologies is one of the few software development companies in Malaysia where all software development work is undertaken wholly in Malaysia. We provide full-fledged services in the areas of web, mobile, and desktop app development. In terms of development, we especially excel in working with big data – analytics, optimization, artificial intelligence, and machine learning.

As a privately-owned MSC Pioneer Status company, Forthi Technologies consists of a young team of developers, who are passionate about technology and strive towards delivering quality development work. We work in several verticals, providing consultancy, software design, and development as well as professional services and consultancy to several verticals including Government, Financial Sector, Telecommunications, Energy and Utilities, Healthcare and Education.

Data Preparation and Exploration Using Python

The course will allow learners to explore Python programming language in more depth. At the end of the program, learners should be familiar with writing Python programs in addition to preparing and exploring data using the tools provided in Python. Learners should also be familiar with Jupyter Notebook, Numpy, Pandas, Matpotlib, Git and GitHub at the end of the course.

Learning Outcome

  1. Write high quality, maintainable Python programs.
  2. Use the Numpy and pandas for performing complex numerical analysis tasks.
  3. Familiar with the Jupyter Notebook environment for writing, testing and debugging Python code.
  4. Produce high quality 2D data visualization using Matpotlib.
  5. Use Unix command line tools, understand basic shell command structure and be familiar with Git and GitHub.

Key objectives

  1. Write high quality, maintainable Python programs.
    • Install and familiarize Jupyter on Anaconda Navigator.
  2. Use the Numpy and pandas for performing complex numerical analysis tasks.
    • Understand data types in Python.
    • Create and use control structures and functions in Python.
  3. Familiar with the Jupyter Notebook environment for writing, testing and debugging Python code.
    • Handle data loading
    • Apply data pre-processing.
    • Performing complex numerical analysis.
  4. Produce high quality 2D data visualization using Matpotlib.
    • Understand Exploratory Data Analysis – Data Visualisation.
    • Create high quality 2D data visualization.
  5. Use Unix command line tools, understand basic shell command structure and be familiar with Git and GitHub.
    • Understand basic shell command structure and Unix command line tools.
    • Familiarize with Git and GitHub.
    • Final Assessment – practical.

Target Audience

  1. Supervisor
  2. Executives
  3. Managers

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FORTHI Technologies Data Preparation and Exploration Using Python

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