(includes training and materials)
Training Delivery Mode:
- Physical Classroom
- Live Virtual Training
Course Overview
The Python for Data Analysis course is a practical, hands-on programme designed to equip professionals with the skills needed to analyse, interpret, and visualise data using Python—one of the most in-demand programming languages globally.
This course focuses on real-world data analysis, guiding participants from Python fundamentals through data cleaning, exploratory analysis, visualisation, and introductory machine learning. It emphasises applied learning, enabling participants to work with real datasets, uncover insights, and support evidence-based decision-making across business, technology, research, and analytics roles.
The course is highly practical and lab-based, featuring Hands-on coding sessions, Guided exercises and walkthroughs, Real-world datasets, Instructor-led demonstrations
By the end of the programme, participants will have developed the confidence to use Python as a core data analysis tool and apply industry-standard libraries in practical scenarios.
This course is practical, experiential, and industry-aligned, ensuring participants graduate with job-ready Python data analysis skills and a portfolio-ready capstone project.
Course Module
- Python Programming Fundamentals
- Loading and Cleaning Data
- Exploratory Data Analysis (EDA)
- Data Transformation
- Data Visualization
- Statistical Modeling with SciPy and Statsmodels
- Introduction to Machine Learning with Scikit-Learn
- Capstone Project
What You Will Learn
By the end of this course, participants will be able to:
- Understand Python programming fundamentals for data analysis
- Load, clean, and prepare structured datasets for analysis
- Perform exploratory data analysis (EDA) to uncover patterns and trends
- Transform and manipulate data efficiently using Python libraries
- Create clear and insightful data visualisations
- Apply basic statistical models for analysis and inference
- Build and evaluate simple machine learning models
- Complete an end-to-end data analysis project using Python
Who This Course Is For
This course is ideal for individuals looking to build or strengthen data analysis skills using Python, including:
- Aspiring and Junior Data Analysts
- Business Analysts and Consultants
- Professionals transitioning into Data Science or Analytics roles
- Project Managers and Operations Professionals working with data
- Researchers and Academics
- IT Professionals seeking data analysis skills
- Graduates and early-career professionals
No prior Python experience is required, though basic computer literacy is expected.
Career Benefits
Participants who complete this course will be able to:
- Perform data analysis tasks using Python confidently
- Support business and operational decisions with data insights
- Transition into data-focused roles such as Data Analyst or Junior Data Scientist
- Enhance employability in data-driven industries
- Build a strong foundation for advanced data science and analytics training
Tools, Frameworks, Or Standards Covered
- Python (Anaconda, Jupyter Notebook)
- Pandas – data manipulation and analysis
- NumPy – numerical computing
- Matplotlib – data visualisation
- SciPy – scientific and statistical computing
- Statsmodels – statistical modelling
- Scikit-Learn – machine learning
Certification
Participants who successfully complete the course will receive:
Certificate of Completion in Python for Data Analysis
Issued by SCILS Management Centre
Participants will also be prepared for the:
Certified Entry-Level Python Programmer Certification