Data Analytics with Python

Programme Overview

Developed in conjunction with Tableau, the Data Analytics with Python course, learners will introduce you to advanced analytics techniques and best-practice use cases. You will also develop the fundamental Python programming knowledge and skills required to complete advanced analytics. The course is aimed at professionals looking to develop advanced data analytics skills leveraging the programming language, Python. This experience will solidify and enhance any prior understanding of working with data and analytics, as well as develop critical employability skills with foundational knowledge in Python. The curriculum was developed in consultation with experienced data analysts and programming professionals that leverage Python libraries to conduct advanced data analysis in their daily roles. The course focuses on developing the knowledge and skills needed to successfully conduct advanced data analysis and exploration, as well as leverage Python libraries to conduct data wrangling.

Learners will:

• Develop core knowledge to inform data analysis
• Build and apply practical skill sets to complete data processing and analysing using Python
• Develop and utilise critical elements of the programming language, Python.

Learning Outcomes

1. Exhibit advanced analysis processes using Python programming to gather insights into data for achieving organisational objectives. 
2. Articulate relevant use cases comparing different Python libraries to achieve analysis objectives within specific organisational contexts. 
3. Utilise Python to import and wrangle data through various approaches to clean and structure the data into desired formats for making decisions for the organization.
4. Critically reflect on learning by describing the processes followed, justifying approaches taken to create the data pipeline, and addressing the ethical issues in specific organisational contexts.