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Python Course For Data Analysis

What will I learn?

Unlock the power of data with our Python Course for Data Analysis, specially designed for Business Intelligence professionals in Namibia. You'll learn to master data cleaning, pre-processing, and visualising data using Matplotlib and Seaborn. Dig deep into anomaly detection and sales trend analysis to discover valuable insights. Improve your exploratory data analysis skills and learn how to share your findings clearly and effectively in reports that are easy to understand. This course is practical, top-quality, and will give you the tools you need to make good business decisions and advance your career.

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

Master data visualisation: Create charts that make an impact using Matplotlib and Seaborn.

Detect anomalies: Find unusual data points using statistical methods to get accurate insights.

Clean data efficiently: Make sure data formats are consistent, and deal with duplicate and missing data.

Analyse sales trends: Discover patterns based on product category, time of year, and location.

Communicate insights: Write short, clear reports and suggest strategic actions.

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.