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Data Science And Machine Learning Course

What will I learn?

Boost your Business Intelligence career with our Data Science and Machine Learning Course. Learn practical skills for deploying models, making sure they can handle plenty of data and fit smoothly into existing systems. Get good at reporting by summing up what you've found, showing data insights in a clear way, and giving solid advice. Dig deep into exploring data, getting it ready to use, and predicting future trends using ARIMA and Prophet. Improve your skills in training models, checking how well they work, and tweaking settings for the best accuracy. Sign up now to turn data into smart decisions.

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 model deployment: Make sure models can handle a lot of data and integrate seamlessly into systems.

Communicate insights: Show data in a visual way and give clear, actionable recommendations.

Conduct EDA: Analyze trends, promotions, and connections properly.

Preprocess data: Deal with missing info and create features for time series analysis.

Forecast with precision: Use ARIMA and Prophet to make correct predictions.

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.