Data Science Training
Turn raw data into analysis, visual explanations, and predictive insights.
Build a repeatable analytical approach.
Develop a structured approach to working with data. Explore how to prepare datasets, investigate patterns, communicate findings, and evaluate models using practical analytical workflows.
Aspiring analysts, technology graduates, professionals moving into data roles, and teams building analytical skills.
Topics to explore
- 01
Python fundamentals for data analysis
- 02
Data preparation, cleaning, and transformation
- 03
Exploratory analysis and statistics
- 04
Data visualization and communicating findings
- 05
Machine-learning concepts and model evaluation
- 06
End-to-end analytical project structure
A practical learning example.
Work through a sample business dataset, document the cleaning decisions, explore trends, and present an evidence-based conclusion.
Follow the evidence in the data.
- Prepare
Clean and understand the dataset
- Explore
Patterns, statistics and visualizations
- Explain
Findings and model evaluation
Basic mathematics and logical reasoning are useful. Tell us about your Python experience so we can discuss prerequisites.
Learning goals
- Prepare and explore a dataset methodically.
- Explain patterns with appropriate visualizations.
- Understand how to assess a model beyond a single score.
Your questions, answered.
Who is this course for?
Aspiring analysts, technology graduates, professionals moving into data roles, and teams building analytical skills.
What should I know before getting started?
Basic mathematics and logical reasoning are useful. Tell us about your Python experience so we can discuss prerequisites.
What should I include in my enquiry?
Useful details include: Your experience with Python, statistics, or spreadsheets; Your target analytical skills; Individual or team learning needs.
How do I find the duration, fees, and next batch?
Send an enquiry for the course you are interested in. We will discuss the current syllabus, duration, fees, delivery format, and batch availability before you decide.