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Data Analytics And AI Course
Unlock the potential of data with our Data Analytics and AI Course, tailored for Business Intelligence professionals keen on advancing their careers. Delve into Exploratory Data Analysis to uncover trends and visualise data effectively. Become proficient in data preparation, from cleansing to managing missing values. Understand AI model selection, including decision trees and neural networks. Learn how to train and evaluate models using key performance indicators. Enhance your ability to produce concise reports and communicate findings with clarity. Boost your career prospects with practical insights and optimised strategies.
- Master EDA: Identify trends and irregularities in data for insightful analysis.
- Visualise Data: Develop impactful visualisations to convey complex findings.
- Optimise Models: Choose and assess AI models for accuracy and precision.
- Clean Data: Employ effective data cleansing methods for dependable datasets.
- Communicate Results: Present clear, actionable insights using structured reports.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Unlock the potential of data with our Data Analytics and AI Course, tailored for Business Intelligence professionals keen on advancing their careers. Delve into Exploratory Data Analysis to uncover trends and visualise data effectively. Become proficient in data preparation, from cleansing to managing missing values. Understand AI model selection, including decision trees and neural networks. Learn how to train and evaluate models using key performance indicators. Enhance your ability to produce concise reports and communicate findings with clarity. Boost your career prospects with practical insights and optimised strategies.
Elevify advantages
Develop skills
- Master EDA: Identify trends and irregularities in data for insightful analysis.
- Visualise Data: Develop impactful visualisations to convey complex findings.
- Optimise Models: Choose and assess AI models for accuracy and precision.
- Clean Data: Employ effective data cleansing methods for dependable datasets.
- Communicate Results: Present clear, actionable insights using structured reports.
Suggested summary
Before starting, you can change the chapters and 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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