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Microsoft Future Ready: Introduction to Python Programming

Offered By: Cloudswyft via FutureLearn

Tags

Python Courses Data Science Courses Data Visualization Courses Matplotlib Courses Data Structures Courses

Course Description

Overview

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.

This course is designed for students and professionals who aim to start their careers in Python programming.


Syllabus

  • Course Introduction
    • About this Course
    • Introduction to Python
    • Introducing Variables and Types
    • Python Lists
    • Subsetting Lists
    • Manipulating Lists
    • Wrapping up the week
  • Introduction to Functions, Methods and Objects
    • Introduction to Functions
    • Methods and Objects
    • Python Packages
    • NumPy and NumPy Arrays
    • 2D NumPy Arrays
    • Basic Statistics with NumPy
    • Wrapping up the Week
  • Boolean Logic, Pandas and Data Visualisation
    • Boolean Logic and Control Flow
    • Pandas
    • Plotting with Matplotlib
    • Histograms
    • Data Visualisation
    • Final Labs and Course Wrap Up

Taught by

Claire Lipscomb

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