CODE: AI08
DURATION: 3 Days/5 Days/10 Days
CERTIFICATIONS: CPD
In today’s competitive landscape, intuition is no longer enough. This course bridges the critical gap between data and decision-making by teaching the practical coding skills needed to extract, analyze, and visualize data. Key programming languages such as Python and R are covered, with practical exercises focused on real-world datasets. Participants will learn to use Python and its powerful libraries to move from static reports to dynamic, interactive analysis, enabling you to uncover hidden insights, model scenarios, and provide a factual foundation for strategic choices.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Write Python scripts to automate data collection and cleaning from multiple sources like spreadsheets, databases, and APIs.
Perform robust statistical analysis and hypothesis testing to validate assumptions and trends.
Create compelling, interactive data visualizations and dashboards to communicate findings effectively.
Build basic predictive models to forecast outcomes and inform future strategy.
Automate the entire data analysis pipeline, from raw data to a finalized report or presentation.
Confidently present data-driven recommendations that are backed by quantitative evidence.
At the end of this course, you’ll understand:
This course is ideal for business analysts, marketing and financial professionals, product managers, and consultants who rely on data to guide strategy and operations, and want to move beyond spreadsheet analysis to automate insights, build predictive models, and communicate findings through powerful data storytelling.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
