This course is part of the Data Science on Microsoft Azure Using Python Programming ExpertTrack
Microsoft Future Ready: Introduction to Python Programming
Uncover how to use Python programming within your data science projects
Duration
3 weeksWeekly study
5 hoursIncluded in an ExpertTrack
Course 3 of 5
Microsoft Future Ready: Introduction to Python Programming
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.
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.
Prove you're job ready
Highlight the new, job-relevant skills you’ve gained and supplement existing qualifications with a hard-earned, industry-specific digital certificate – plus one for every course within your ExpertTrack.
- Learn the latest in your chosen industry or subject.
- Complete each course and pass assessments.
- Receive certificates validated by the educating organisation.
- Impress employers with learning outcomes you can add to your CV.
- Make your career dreams a reality.
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Learning on this course
You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Explore Python language fundamentals, including basic syntax, variables, and types
- Create and manipulate regular Python lists
- Use functions and import packages
- Build Numpy arrays, and perform interesting calculations
Who is the course for?
This course is designed for students and professionals who aim to start their careers in Python programming.
Who developed the course?
CloudSwyft Global Systems, Inc.
CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps, but you can complete them as quickly or slowly as you like
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
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After your free trial you can:
- Pay $39 per month to keep learning online
- Have complete control over your subscription; you can cancel any time
- Work at your own pace and set your own deadlines at every stage
- Only pay while you’re learning; the subscription will cancel automatically when you finish
- Complete online assessments to test your knowledge and prove your skills
- Earn digital course certificates and a final award that you can share online, with potential employers, and your professional network
- Keep access to the content of courses you complete even after your subscription ends
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