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Full Stack Data Science Course
Unlock the power of data with our Comprehensive Data Science Course, tailored for Business Intelligence professionals looking to upskill. Delve into predictive modelling, mastering the process of training, testing, and evaluating models. Integrate data analysis smoothly with web applications, while prioritising data security. Gain expertise in data cleaning, handling missing values, and understanding diverse data structures. Develop dynamic web applications using Flask and Django, and explore data patterns through statistical methods and insightful visualisations. Join us to transform data into actionable insights that drive business growth.
- Master predictive modelling: Train, test, and evaluate machine learning models effectively.
- Integrate data with apps: Seamlessly connect robust data analysis techniques to user-friendly web applications.
- Clean and preprocess data: Apply industry-standard techniques to handle missing values and structure data efficiently.
- Develop web applications: Build interactive user interfaces with the popular Flask and Django frameworks.
- Conduct exploratory analysis: Visualise key trends and identify critical customer behaviour patterns to inform decision-making.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of data with our Comprehensive Data Science Course, tailored for Business Intelligence professionals looking to upskill. Delve into predictive modelling, mastering the process of training, testing, and evaluating models. Integrate data analysis smoothly with web applications, while prioritising data security. Gain expertise in data cleaning, handling missing values, and understanding diverse data structures. Develop dynamic web applications using Flask and Django, and explore data patterns through statistical methods and insightful visualisations. Join us to transform data into actionable insights that drive business growth.
Elevify advantages
Develop skills
- Master predictive modelling: Train, test, and evaluate machine learning models effectively.
- Integrate data with apps: Seamlessly connect robust data analysis techniques to user-friendly web applications.
- Clean and preprocess data: Apply industry-standard techniques to handle missing values and structure data efficiently.
- Develop web applications: Build interactive user interfaces with the popular Flask and Django frameworks.
- Conduct exploratory analysis: Visualise key trends and identify critical customer behaviour patterns to inform decision-making.
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