Programme information
Developed in conjunction with Tableau, the Data Analytics with Python course delves into advanced analytics techniques and best-practice use cases. Aimed at professionals, this course will enhance your data analytics abilities using Python and, as such, you will gain the fundamental Python programming knowledge and skills needed for advanced analytics. This experience will build on any prior knowledge of working with data and analytics, as well as develop critical employability skills with foundational Python knowledge. You will also acquire the skills needed to conduct advanced data analysis and exploration, utilising Python libraries for data wrangling.
As a student, you will:
- develop core knowledge for data analysis
- build and apply practical skills for data processing and analysis using Python
- master critical elements of Python programming.
Develop your skills, knowledge
and abilities in:
- Exhibiting advanced analysis using Python to achieve organisational objectives.
- Comparing Python libraries to achieve analysis objectives within organisational contexts.
- Using Python to import and wrangle data for organisational decision-making.
- Reflecting on learning by describing the processes, justifying approaches taken to create the data pipeline, and addressing the ethical issues in specific organisational contexts.
And cultivate the professional competencies to work in a high-demand field
- Job postings seeking skills in data visualisation have grown by 540% over the last five years, and specific demand for Tableau skills has increased by 1,165%.
- Microsoft’s post-COVID-19 analysis, using LinkedIn data, predicts over 20 million new jobs in data analysis, artificial intelligence, and machine learning worldwide by 2025.
- According to a March 2024 report by the ‘UK Department for Digital, Culture, Media and Sport Sector Estimates’, approximately 1.9 million jobs were filled in the digital sector from October 2022 to September 2023, marking a 22.6% increase since 2019.
- In 2023, the World Economic Forum surveyed 803 global companies and found that roles such as “Data Analysts and Scientists” were among the top 10 fastest-growing jobs between 2023 and 2027.
