Courses

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

Data Analysis with Python
Courses Beginner

What this course covers

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.

What you will learn

By the end of this programme, you will be able to:

  • Set up a Python environment

    Install and run Python and a notebook environment so you can write and execute code on your own machine.

  • Write basic Python

    Use variables, lists, dictionaries, loops, and functions to perform simple data tasks.

  • Load and clean a dataset

    Read a CSV file into Python, inspect it, and handle missing or inconsistent values.

  • Calculate useful summaries

    Compute counts, averages, and group-level summaries that answer real questions about a dataset.

  • Create clear charts

    Produce simple bar, line, and scatter charts that communicate a finding clearly.

  • Build a small analysis project

    Combine the steps into a short analysis report on a sample dataset of your choice.

Course curriculum

5 modules · 20 lessons

  • Installing Python and a notebook environment
  • Writing and running your first code
  • Variables, numbers, and text
  • Reading error messages without panic

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.

Who should attend

Ideal for

  • Students and graduates who want a practical introduction to working with data
  • Career changers exploring data roles
  • Professionals who work with spreadsheets and want to move to a more powerful tool
  • Researchers and analysts who want to automate repetitive data tasks

Before you join

  • Comfortable using a computer and installing software
  • No prior programming experience required
  • Basic familiarity with spreadsheets is helpful but not required

What you take away

  • A working Python environment on your own machine
  • A small data analysis project you can show others
  • A reusable checklist for cleaning and summarising a dataset
  • A Spark Global Institute statement of participation

Meet your instructor

Course Instructor

Spark Global Institute Faculty

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.

Frequently asked questions

No. The course starts from the absolute basics and assumes no prior programming background. We build up gradually with guided exercises.