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Python Data Analytics Course
Become a data analytics expert with our Python Data Analytics Training, designed for Business Intelligence professionals here in Namibia. Get stuck in to time series analysis using ARIMA models and exponential smoothing, sharpen your data cleaning skills, and improve your reporting by documenting properly. Explore sales trend analysis, customer segmentation, and exploratory data analysis using Matplotlib. Become skilled at using Python for data manipulation with Pandas and NumPy, making sure you’re always on top of your game in the competitive BI environment.
- Master Time Series: Analyze trends using ARIMA and Exponential Smoothing techniques.
- Clean Data Properly: Change data types, deal with outliers, and sort out missing data.
- Create Good Reports: Share what you've found with clear documentation.
- Analyze Sales Trends: Predict patterns and understand seasonality in sales data.
- Segment Customers: Use clustering to identify different groups of customers.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Become a data analytics expert with our Python Data Analytics Training, designed for Business Intelligence professionals here in Namibia. Get stuck in to time series analysis using ARIMA models and exponential smoothing, sharpen your data cleaning skills, and improve your reporting by documenting properly. Explore sales trend analysis, customer segmentation, and exploratory data analysis using Matplotlib. Become skilled at using Python for data manipulation with Pandas and NumPy, making sure you’re always on top of your game in the competitive BI environment.
Elevify advantages
Develop skills
- Master Time Series: Analyze trends using ARIMA and Exponential Smoothing techniques.
- Clean Data Properly: Change data types, deal with outliers, and sort out missing data.
- Create Good Reports: Share what you've found with clear documentation.
- Analyze Sales Trends: Predict patterns and understand seasonality in sales data.
- Segment Customers: Use clustering to identify different groups of customers.
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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