Technology and Digital Skills
Data Science Using Python: The Complete 10-Week Journey
The power to turn complex data into clear, strategic insights.
- AreaTechnology and Digital Skills
- LevelIntermediate
- DeliveryOnline/Hybrid
- Duration10 Sessions (1x/week, 3h/session)
What you'll learn
- Understand the full data science lifecycle, from framing business problems to deploying machine learning models
- Prepare, clean, and transform real-world datasets using Python and its key libraries
- Analyze data, create compelling visualizations, and extract actionable insights
- Build, evaluate, and deploy machine learning models for classification and regression
- Complete a capstone project to showcase your new data science skills
Course content
8 modules
About this course
This course guides you step-by-step through the essential skills every data scientist needs, using Python. You’ll start with the foundations: what data science is, why it matters, and how to define the right business problems. Then you’ll get hands-on with data collection, cleaning, transformation, and feature engineering. As you progress, you’ll master exploratory data analysis and visualization using NumPy, Pandas, Matplotlib, and Seaborn. You’ll build and evaluate machine learning models with Scikit-learn, and learn how to deploy your solutions using Flask. Each module is packed with practical exercises and projects you can showcase to employers. By the end of this course, you’ll be able to confidently take a data science project from raw data to deployed model, communicate your findings, and demonstrate your skills with a portfolio-ready project.
Course details
Course information
- Duration
- 10 Sessions1x/week · 3h/session
- Level
- Upskill
- Basic Python programming knowledge
- Basic Python programming knowledge (completion of Python Fundamentals or equivalent)
Who this course is for
Learners
Learners who have completed Python Fundamentals or have equivalent Python knowledge
Beginners in Data Science
Beginners in Data Science looking to understand the core concepts, tools, and techniques
Students and professionals
Students and professionals transitioning into Data Science and Machine Learning
Key Benefits for Learners
End-to-end data science project experience,
End-to-end data science project experience, from data collection to deployment
Practical, beginner-friendly curriculum with real
Practical, beginner-friendly curriculum with real business datasets
Mentorship and support from experienced
Mentorship and support from experienced data professionals
Recognized certification upon completion
Recognized certification upon completion
Certificate & accreditation
Yes
Requirements
- Access to Python (Anaconda
- Access to Python (Anaconda recommended) and a modern web browser
Frequently asked questions
Yes, as long as you have basic Python knowledge.
Python (Anaconda distribution), Jupyter Notebook, and standard Python libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, Flask).
Yes, you’ll have continued access to all course materials even after completion.
Absolutely. The course includes a capstone project using real datasets and business scenarios.
Yes, you will receive a certificate of completion that you can share with employers and add to your portfolio.
Next available intake
Dates are currently being finalised.
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