Data Science Analytics Course
Master the full data science workflow — from cleaning raw data to deploying machine learning models — using Python, SQL, and industry-standard tools. This course covers statistics, predictive modeling, visualization, and responsible AI in one structured program. Build the practical skills employers are actively hiring for right now.
4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
You will learn how to collect, clean, and transform data using Python and pandas, then apply statistical inference and hypothesis testing to answer real business questions. The course walks you through supervised and unsupervised machine learning, including regression, classification, clustering, and dimensionality reduction. You will build interactive dashboards, write production-ready SQL queries, and deploy trained models as REST APIs. Advanced topics include time series forecasting, natural language processing, deep learning fundamentals, and model explainability with SHAP. By the end, you will have the technical depth and communication skills to deliver end-to-end analytics solutions in a professional environment.
Elevify Differentials
Develop Skills
- Machine Learning Model Building: Train, tune, and evaluate supervised and unsupervised models using Python.
- Data Wrangling and Pipelines: Clean messy datasets and build reproducible transformation workflows from scratch.
- Statistical Inference and A/B Testing: Design experiments and draw confident conclusions from real business data.
- Data Visualization and Storytelling: Create interactive dashboards and communicate analytical findings to any audience.
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
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, which speeds up the process!
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André FelipePrompt Engineering Student
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