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Data Analytics And AI Course
Unleash the power of data with our Data Analytics and AI Course, specifically designed for Business Intelligence professionals keen on excelling in their careers. Delve into Exploratory Data Analysis to identify trends and visualise data effectively. Become proficient in data preparation, from cleaning to managing missing values. Gain insights into selecting the right AI model, including decision trees and neural networks. Learn how to train and evaluate models using essential metrics. Enhance your abilities in creating concise reports and communicating results with clarity. Take your career to the next level with actionable insights and optimised strategies.
- Master EDA: Identify trends and anomalies in data for insightful analysis and decision-making.
- Visualise Data: Develop compelling visualisations to communicate complex insights effectively.
- Optimise Models: Select and evaluate AI models for optimal precision and accuracy in predictions.
- Clean Data: Implement effective data cleaning techniques to ensure reliable and accurate datasets.
- Communicate Results: Deliver clear, actionable insights through well-structured reports and presentations.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unleash the power of data with our Data Analytics and AI Course, specifically designed for Business Intelligence professionals keen on excelling in their careers. Delve into Exploratory Data Analysis to identify trends and visualise data effectively. Become proficient in data preparation, from cleaning to managing missing values. Gain insights into selecting the right AI model, including decision trees and neural networks. Learn how to train and evaluate models using essential metrics. Enhance your abilities in creating concise reports and communicating results with clarity. Take your career to the next level with actionable insights and optimised strategies.
Elevify advantages
Develop skills
- Master EDA: Identify trends and anomalies in data for insightful analysis and decision-making.
- Visualise Data: Develop compelling visualisations to communicate complex insights effectively.
- Optimise Models: Select and evaluate AI models for optimal precision and accuracy in predictions.
- Clean Data: Implement effective data cleaning techniques to ensure reliable and accurate datasets.
- Communicate Results: Deliver clear, actionable insights through well-structured reports and presentations.
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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