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Advance Python Course
Elevate your Business Intelligence skills with our Advanced Python Course, designed for professionals seeking to harness Python's power in data analysis and predictive modelling. Dive into Exploratory Data Analysis with Matplotlib and Seaborn, master data handling with Pandas, and refine your skills in identifying patterns through time series and categorical data analysis. Enhance your reporting capabilities with clear documentation and visual reports, and optimise your code using advanced Python techniques. Join us to transform data into actionable insights.
- Master EDA: Generate insights with summary statistics and visualisations.
- Create Visual Reports: Design impactful reports with clear explanations.
- Analyse Trends: Identify patterns using time series and correlation analysis.
- Clean Data Efficiently: Handle missing values and clean data with Pandas.
- Build Predictive Models: Develop and evaluate models using Scikit-learn.

4 to 360 hours flexible workload
certificate recognised by the NZQA
What will I learn?
Elevate your Business Intelligence skills with our Advanced Python Course, designed for professionals seeking to harness Python's power in data analysis and predictive modelling. Dive into Exploratory Data Analysis with Matplotlib and Seaborn, master data handling with Pandas, and refine your skills in identifying patterns through time series and categorical data analysis. Enhance your reporting capabilities with clear documentation and visual reports, and optimise your code using advanced Python techniques. Join us to transform data into actionable insights.
Elevify advantages
Develop skills
- Master EDA: Generate insights with summary statistics and visualisations.
- Create Visual Reports: Design impactful reports with clear explanations.
- Analyse Trends: Identify patterns using time series and correlation analysis.
- Clean Data Efficiently: Handle missing values and clean data with Pandas.
- Build Predictive Models: Develop and evaluate models using Scikit-learn.
Suggested summary
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