Microsoft Future Ready: Introduction to Python Programming

Syllabus

• Week 1

  Course Introduction

  • About this Course

    Welcome to the Microsoft Future Ready: Introduction to Python Programming course. This activity introduces you to the course outline and the learning outcomes, as well as to CloudSwyft and their partnership on this course.

  • Introduction to Python

    Welcome to your first lesson on Python basics. In this section, you will be introduced to Python for data science.

  • Introducing Variables and Types

    In this section, you will be introduced to Python variables and types, and how these are used in calculations.

  • Python Lists

    In this section, you will be introduced to Python lists and learn how information can be stored in Python lists.

  • Subsetting Lists

    In this section, we will be introducing subsetting lists and some aspects including indexing and slicing.

  • Manipulating Lists

    In this final section on Python lists, you will learn about data manipulation.

  • Wrapping up the week

    This section marks the end of the week’s activities with a preview of what can be expected in the week to follow. You will also have the opportunity to share your thoughts and learning experiences for the past week.

• Week 2

  Introduction to Functions, Methods and Objects

  • Introduction to Functions

    Welcome to your first step of Week 2 on Python basics. In this section, you will be introduced to Python functions.

  • Methods and Objects

    Python is an object-oriented programming language. In this section, we will show how methods are functions that 'belong' to an object.

  • Python Packages

    In this section, we will be explaining Python packages and the directory structure of a Python application.

  • NumPy and NumPy Arrays

    In this section, you will learn about NumPy and NumPy arrays, and how they are used in applications.

  • 2D NumPy Arrays

    In this activity, you will learn about 2D NumPy arrays and how to create and subset 2D NumPy arrays. This will help you add dimension to your data.

  • Basic Statistics with NumPy

    In the section, will we explore how NumPy can be used for basic statistics.

  • Wrapping up the Week

    This section marks the end of the week’s topcis. We will start off with a recap of what was learnt in the week and will also have the opportunity to share your thoughts and learning experiences for the past week.

• Week 3

  Boolean Logic, Pandas and Data Visualisation

  • Boolean Logic and Control Flow

    In this section, we are going to explore Boolean Python type and control flow, with a focus on logic operators such as AND, OR, and NOT.

  • Pandas

    When you are working with data, you'll often work with many different types of data together. In this section, we will be exploring the use of Panda to manage this data more efficiently.

  • Plotting with Matplotlib

    This section is about data visualisation, which is an important part of data analysis.

  • Histograms

    In this section, we will introduce you to histograms as a type of visualisation.

  • Data Visualisation

    In this section, we will focus on data visualisation and customisations.

  • Final Labs and Course Wrap Up

    This is the closing activity for the course, where you will complete a final lab and reflect on what you have learned during the course.