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Machine Learning Specialist Applied to BI Course

What will I learn?

Sharpen your Business Intelligence skills with our Machine Learning Specialist Applied to BI Course. Dig deep into data preparation, mastering how to clean, transform, and normalize data. Understand your data well through exploratory analysis and by looking at time series data. Learn to predict future values using ARIMA, SARIMA, and LSTM models. Level up your skills in training models, seeing how good they are, and making them even better. Become a master at creating new features from your data and reporting what you find, so you can make smart decisions based on the data with confidence.

Apoia's Unique Features

Accessible online course for a lifetime
Certificate aligned with educational standards
Printable PDF summaries
24/7 online assistance available
Select and arrange the chapters you want to study
Customize the course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance the development of the practical skills listed below

Master data cleaning: Make sure your datasets are correct and dependable for analysis.

Conduct exploratory analysis: Discover hidden meanings and patterns in the data.

Implement forecasting models: Predict what will happen in the future with good accuracy.

Optimize model performance: Improve how well your models work by fine-tuning them.

Engineer time-based features: Make your model predictions even better using advanced methods for time series data.

Suggested overview

Workload: between 4 and 360 hours

Before getting started, you can adjust the chapters and the workload.

  • Choose which chapter to begin with
  • Add or remove chapters
  • Increase or decrease the course workload

Examples of chapters you can include

You'll be able to create more chapters like the examples below

This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.