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Python Data Analytics Course
Master the art of data analytics with our Python Data Analytics Course, designed for Business Intelligence professionals. Dive into time series analysis using ARIMA models and exponential smoothing, sharpen your data cleaning skills, and improve your reporting with effective documentation techniques. Explore sales trend analysis, customer segmentation, and exploratory data analysis using Matplotlib. Become proficient in Python for data manipulation with Pandas and NumPy, ensuring you stay ahead in the competitive BI landscape.
- Master Time Series: Analyze trends using ARIMA and Exponential Smoothing.
- Clean Data Efficiently: Convert types, manage outliers, and fill in missing data.
- Create Impactful Reports: Communicate insights with clear documentation.
- Analyze Sales Trends: Predict patterns and understand seasonality.
- Segment Customers: Use clustering to identify different customer groups.

flexible workload of 4 to 360h
certificate recognized by the MEC
What will I learn?
Master the art of data analytics with our Python Data Analytics Course, designed for Business Intelligence professionals. Dive into time series analysis using ARIMA models and exponential smoothing, sharpen your data cleaning skills, and improve your reporting with effective documentation techniques. Explore sales trend analysis, customer segmentation, and exploratory data analysis using Matplotlib. Become proficient in Python for data manipulation with Pandas and NumPy, ensuring you stay ahead in the competitive BI landscape.
Elevify advantages
Develop skills
- Master Time Series: Analyze trends using ARIMA and Exponential Smoothing.
- Clean Data Efficiently: Convert types, manage outliers, and fill in missing data.
- Create Impactful Reports: Communicate insights with clear documentation.
- Analyze Sales Trends: Predict patterns and understand seasonality.
- Segment Customers: Use clustering to identify different customer groups.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
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