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intro To Data Science Course

intro To Data Science Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Intro to Data Science Course gives you a fast, practical path from raw data to clear, actionable insights. Learn to load, inspect, and clean datasets, engineer and select features, and build simple predictive models like logistic regression, decision trees, and k-NN. You will evaluate performance with real metrics, create reproducible notebooks and reports, and communicate results, limitations, and next steps with confidence and clarity.

Elevify advantages

Develop skills

  • Build simple classifiers: train logistic, tree, and k-NN models that actually work.
  • Clean real datasets fast: fix types, outliers, and missing values with confidence.
  • Engineer better features: scale, encode, and select signals that boost accuracy.
  • Evaluate models smartly: use AUC, F1, and confusion matrices for business impact.
  • Deliver reproducible work: tidy notebooks, saved models, and clear reports.

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.
Workload: between 4 and 360 hours

What our students say

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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