Access courses

Python Data Science Course

What will I learn?

Unlock the power of data with our Python Data Science Training Programme, designed for Business Intelligence professionals in Namibia. Get stuck in with data cleaning skills, become a top performer in data analysis using Python, and create impressive visualisations using Matplotlib and Seaborn. Learn to work with DataFrames using Pandas, handle missing data like a pro, and find practical insights that you can actually use. Improve your abilities in sales data analysis, spotting trends, and reporting effectively. Join us to turn raw data into business intelligence that makes a difference.

Apoia's Unique Features

Online course with lifetime access
Certificate aligned with educational standards
Printable PDF summaries
Online support always available
Select and arrange the chapters you wish to study
Customize your course workload
Instant feedback on practical activities
Study anytime, no internet connection required

Develop skills

Enhance the growth of the practical skills listed below

Get good at data cleaning: Fill in missing data, change data formats, and find unusual data points like a boss.

Analyse data trends: Do time series analysis and understand descriptive statistics properly.

Show insights visually: Make charts that grab attention using Matplotlib and Seaborn.

Process data with Pandas: Work magic with DataFrames and sort out missing data.

Share what you find: Write reports that are easy to understand and give business advice that works.

Suggested summary

Workload: between 4 and 360 hours

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

  • Select which chapter to commence with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You’ll be able to generate additional chapters similar to the examples below

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