Access courses

Data Analysis Python Course

What will I learn?

Unleash the power of data with our Data Analysis Python Course, specially designed for Business Intelligence professionals in Ireland. Become a master of time series analysis to spot anomalies and identify seasonal trends. Delve into sales performance analysis, using visualisations to uncover insights and your top-performing products. Improve your skills in data cleaning, loading and exploration with Pandas. Learn how to create compelling visualisations with Seaborn and Matplotlib, and develop data-driven reports that will lead to strategic decisions. Sign up now to turn data into actions for your business.

Apoia's Advantages

Online and lifetime access to courses
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you'd like to study
Set your own course workload
Instant feedback on practical activities
Study at your convenience, no internet required

Develop skills

Strengthen the development of the practical skills listed below

Master Time Series: Analyse trends and identify anomalies in your sales data.

Visualise Data: Create impactful charts with Seaborn and Matplotlib.

Clean Data Efficiently: Transform, normalise, and deal with missing values.

Write Persuasive Reports: Structure clear, concise, data-driven findings for the Irish market.

Develop Strategies: Formulate actionable insights for business growth in Ireland.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can change the chapters and the workload.

  • Choose which chapter to start with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can add

You will be able to generate more chapters like the examples below

This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.