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Full Stack Data Scientist Course

What will I learn?

Make your Business Intelligence work better with our Full Stack Data Scientist Training Program. You go learn all the important things like how to clean data, check data well-well, and choose the right machine learning model. You go learn how to understand the results, give good advice that people can use, and make the models work even better. You go deep into how to handle things like selling things in shops, keeping track of what you have, and planning how to sell things. This training program is short and good, and it will help you change data into smart business decisions, and you can learn it at your own speed.

Apoia's Unique Features

Accessible online course for a lifetime
Certificate aligned with educational standards
Printable PDF summaries
Online support available at all times
Select and arrange the chapters you wish to study
Set your own course workload
Instant feedback on practical activities
Study anytime, no internet required

Develop skills

Enhance your practical skills in the areas listed below.

Learn how to clean data: Clean, fix, and put data in the right format fast-fast.

Check data for understanding: Look at shop data and sales data good-good.

Make models work better: Make the models perform extra good by fine-tuning them.

Use machine learning: Use neural networks, regression, and decision trees.

Check how correct the model is: Use precision, recall, and F1-score to see how accurate the model is.

Suggested summary

Workload: between 4 and 360 hours

Before starting, you can modify the chapters and the workload.

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

Examples of chapters you can add

You will be able to generate more chapters like the examples below

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