Microsoft Future Ready: Introduction to Python Programming
Discover Python programming basics and prepare for a career in data science with this course, designed by CloudSwyft Global Systems.
Duration
3 weeks
Weekly study
5 hours
100% online
How it works
Included in an ExpertTrack
Course 3 of 5
Get full ExpertTrack access
Find out more
Python is the most requested skill in data science job ads today. The demand for these skills grew 435% from 2019, according to Forbes, and is ranked in the top 3 for programming languages by the IEEE Spectrum.
This course provides a thorough introduction to Python - the programming language used by Instagram, IBM, Netflix, and Facebook. You’ll build knowledge specific to data science applications, then dive into the world of data visualisation.
Start with the basics of Python programming
You’ll learn basic arithmetic and variables and basic syntax, and how to create and manipulate regular Python lists.
You’ll discover how to build and handle data structures such as Python lists, NumPy arrays and Pandas DataFrame, and perform interesting calculations. You’ll also be introduced to Python functions and control flow.
Build meaningful data visualisations
Learn how to create stunning data visualisations with Python. You’ll learn how to create and customise plots on real data, and create presentations based on your own data. This is the next key step to getting buy-in on your data analysis by ensuring that you can communicate it to a diverse audience.
By the end of the course, you’ll be better equipped to start a career in Python programming - ready to offer employers the most in-demand skill in data science.
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.
More courses you might like
Learners who joined this course have also enjoyed these courses.
