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Python Course For Data Analysis
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.
- 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.

from 4 to 360h flexible workload
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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