Data Analysis with Python
Learn how to organise, analyse, and visualise data using Python through guided examples and practical introductory exercises.
Data Analysis with Python is an introductory programme for learners who want to work with data using one of the most widely used programming languages in the field. The course assumes no prior programming experience and builds up from the absolute basics of Python to small data analysis tasks you can run yourself.
Across the programme, you will learn how to set up a Python environment, work with variables and data structures, read and clean a simple dataset, perform basic calculations and summaries, and produce clear charts and tables. Each module combines short explanations with guided exercises on realistic sample data.
By the end of the course, you will be able to open a dataset in Python, clean common issues, calculate the summaries that matter for your work, and produce a simple visual report. The programme is suitable for students, graduates, and career changers who want a practical, beginner-friendly entry into working with data.
By the end of this programme, you will be able to:
Install and run Python and a notebook environment so you can write and execute code on your own machine.
Use variables, lists, dictionaries, loops, and functions to perform simple data tasks.
Read a CSV file into Python, inspect it, and handle missing or inconsistent values.
Compute counts, averages, and group-level summaries that answer real questions about a dataset.
Produce simple bar, line, and scatter charts that communicate a finding clearly.
Combine the steps into a short analysis report on a sample dataset of your choice.
5 modules · 20 lessons
Curriculum is indicative and may be adjusted to reflect the cohort's background, the confirmed learning format, and current industry practice. The final detailed schedule is shared with enrolled learners before the programme begins.
Courses at Spark Global Institute are delivered by instructors with subject-matter expertise and practical teaching experience. The assigned instructor for each cohort is confirmed with the course schedule at the time of enrollment, and learners are supported throughout the programme by both the instructor and the academic coordination team.
The assigned instructor for each cohort is confirmed with the course schedule at the time of enrollment. Spark Global Institute reserves the right to assign alternative qualified instructors when required.
No. The course starts from the absolute basics and assumes no prior programming background. We build up gradually with guided exercises.
No. A standard laptop or desktop that can run a modern browser and a Python notebook environment is sufficient for the datasets and exercises used in the course.
This course focuses on the Python and data-analysis foundations that come before machine learning. It gives you the practical base needed to approach a separate introductory machine-learning course with confidence.
Yes. You will practise with realistic, beginner-friendly datasets and complete a small final analysis project that combines cleaning, calculations, summaries, and visualisation.
The course may be offered through group training, private training, live online delivery, or customised corporate training, depending on the confirmed schedule and availability.
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