Syllabus

• Week 1

  Basics of Python programming

  • Welcome to the course

    Before we dive deep into understanding Python and its data science applications, let’s understand how this short course is designed. Understanding the course design will clarify what you can expect and what is expected from you.

  • Leveraging Python for advanced data analytics

    Are you curious to learn how Python supports data analytics? This week, you'll answer this and get an overview of advanced data analytics, its future, and the role of data analysts and programming languages in this field.

  • Setting up for Python programming

    In this section, you will learn how to set up a Python environment on your device and acquaint yourself with the building blocks of Python to begin your programming journey.

  • Data structures in Python

    You are now ready to learn about some advanced concepts and features of the Python language. These concepts and features will serve as the foundational blocks of actual Python programs.

• Week 2

  Python library: Pandas

  • Getting started with Pandas

    This week, you’ll learn about Python modules, packages, and libraries that will enable you to write well-organised and effective code for your data analysis projects.

  • Data structures in Pandas

    How do Pandas Series and DataFrames help with data analysis? What are some essential data manipulation functions in Pandas, and how do you use them? Let’s find out the answers to these questions in the upcoming section.

  • Advanced data operations in Pandas

    In this topic, let’s explore some of the advanced functionalities, such as reindexing, mapping, filtering, and selecting, utilised for cleaning and preparing the data for data analysis in Pandas Series and DataFrames.

• Week 3

  Data ingestion and wrangling using Python

  • Introduction to data processing using Python

    Having gained a basic understanding of preparing and modifying data in Pandas data structures, the next question you could be asking yourself is how and where do you apply these skills?

  • Data ingestion using Python

    Here, we will learn how to transport different forms of data from various sources into Python data structures for data processing in order to generate insights and conclusions.

  • Data wrangling using Python

    It's now to learn how to use Python to perform various data processing activities. This phase of processing data is referred to as data wrangling.

  • Reshaping data sets using Python

    Let us learn about the Python operations to reorganise the information into a single data set. Python houses functions for rearranging tabular data, known as reshaping or pivoting operations.

• Week 4

  Data visualisation using Python

  • Fundamentals of data visualisation

    Here, you will learn the importance of data visualisation, its principles, and a human-centred approach to data visualisation that will empower you to tell captivating stories from your data analysis.

  • Getting started with Seaborn

    You will now be introduced to Python’s data visualisation library, Seaborn. You will also learn to design scatter plots and box plots in Seaborn to visualise data effectively.

  • Customising and enhancing charts in Seaborn

    Now, you will learn how to enhance and customise data visualisations in order to create effective and appealing visualisations and practise these skills through a practical activity.

Who will you learn with?