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Beginner
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Physcially in Classroom
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Total 6 hours in class
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Multi-Day Course
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2-7 learners per class
Requirements
This course is designed for those with basic Python programming knowledge. Familiarity with fundamental Python concepts (variables, loops, functions, data structures) is recommended.
Available Dates & Times
Time Zone:
| Dates | Price |
Tue 23 Dec 2025 - Tue 23 Dec 2025
10:00 AM - 04:00 PM
(BT)
Tuesday
(6-hour over 1-day)
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£240
Enrol Now
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Class Details
Python has emerged as the undisputed language of choice for data professionals worldwide. This practical, hands-on course provides your essential foundation in data analysis using Python's core scientific stack. You'll master the tools and techniques used by professional data analysts and scientists to extract meaningful insights from complex datasets.
What You'll Master:
- Data Wrangling & Cleaning with pandas
- Exploratory Data Analysis techniques
- Numerical Computing with NumPy
- Data Visualisation with Matplotlib
- Professional Workflows using Jupyter notebooks
Course Outline
- Introduction to Data Analysis
- Understanding data analysis and its business impact
- Types of data analysis
- The data analysis process flow
- Introduction to NumPy
- Pandas & NumPy ecosystem overview
- Creating and manipulating NumPy arrays
- Random number generation for simulations
- Data Manipulation with Pandas
- Understanding pandas data structures (Series, DataFrame)
- Exploring data in a DataFrame
- Data selection and indexing techniques
- Data Cleaning & Preparation
- Grouping and aggregation for summary statistics
- Data filtering and sorting
- DataFrame concatenation
- Exporting analysis results to various file formats.
- Data Visualisation with Matplotlib
- The importance of data visualisation in analysis
- Creating line plots and charts
- Customising plots for clarity and impact
- Building dashboards and reports
- Exporting visualisations