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Advanced Python Course
Enhance your Business Intelligence skills with our Advanced Python Course (Indian Edition), tailored for professionals keen to leverage Python's capabilities in data-driven decision-making within the Indian context. Delve into predictive modelling using decision trees and random forests, master customer segmentation employing clustering and RFM analysis techniques, and refine your data visualisation skills with Matplotlib and Seaborn. Learn to clean, pre-process, and analyse data effectively, while developing insightful reports and actionable recommendations relevant to the Indian market. Enrol now to transform your data expertise and contribute to business growth.
- Become proficient in predictive modelling: Develop decision trees and implement random forests.
- Conduct customer segmentation: Utilise clustering and RFM analysis for valuable insights.
- Perform exploratory data analysis: Visualise data effectively using Matplotlib and Seaborn.
- Improve data pre-processing skills: Manage missing values and rectify data types efficiently.
- Develop insightful reports: Summarise data and formulate actionable recommendations.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Enhance your Business Intelligence skills with our Advanced Python Course (Indian Edition), tailored for professionals keen to leverage Python's capabilities in data-driven decision-making within the Indian context. Delve into predictive modelling using decision trees and random forests, master customer segmentation employing clustering and RFM analysis techniques, and refine your data visualisation skills with Matplotlib and Seaborn. Learn to clean, pre-process, and analyse data effectively, while developing insightful reports and actionable recommendations relevant to the Indian market. Enrol now to transform your data expertise and contribute to business growth.
Elevify advantages
Develop skills
- Become proficient in predictive modelling: Develop decision trees and implement random forests.
- Conduct customer segmentation: Utilise clustering and RFM analysis for valuable insights.
- Perform exploratory data analysis: Visualise data effectively using Matplotlib and Seaborn.
- Improve data pre-processing skills: Manage missing values and rectify data types efficiently.
- Develop insightful reports: Summarise data and formulate actionable recommendations.
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 workload.What our students say
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