Python Data Science Course
Unlock the power of data with our Python Data Science Course, specially designed for Business Intelligence professionals in Zambia. Get stuck in to data cleaning techniques, become a master of data analysis using Python, and create impressive visualisations using Matplotlib and Seaborn. Learn how to work with DataFrames using Pandas, handle missing data properly, and discover insights you can actually use. Improve your skills in sales data analysis, identifying trends, and putting together reports that make sense. Come and join us to turn that raw data into proper business intelligence that can help you make good decisions.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data with our Python Data Science Course, specially designed for Business Intelligence professionals in Zambia. Get stuck in to data cleaning techniques, become a master of data analysis using Python, and create impressive visualisations using Matplotlib and Seaborn. Learn how to work with DataFrames using Pandas, handle missing data properly, and discover insights you can actually use. Improve your skills in sales data analysis, identifying trends, and putting together reports that make sense. Come and join us to turn that raw data into proper business intelligence that can help you make good decisions.
Elevify advantages
Develop skills
- Become a data cleaning expert: Fill in missing data, transform it, and spot any problems efficiently.
- Analyze data trends: Do time series analysis and descriptive statistics properly.
- Visualise insights clearly: Create charts that are easy to understand using Matplotlib and Seaborn.
- Process data like a pro with Pandas: Work with DataFrames and deal with missing data without any problems.
- Communicate your findings effectively: Write reports that are easy to follow and highlight business insights that can be acted upon.
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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