Computer Data Science Course
Master the full data science workflow — from SQL queries and Python scripting to machine learning and model deployment. This course gives you the technical depth and practical skills employers actually look for. Whether you are breaking into the field or levelling up, you will graduate ready to deliver real results.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
You will build a solid foundation in Python, mathematics, and SQL before moving into data wrangling, exploratory analysis, and statistical inference. From there, you will train and evaluate supervised models including linear regression, decision trees, and gradient boosting with XGBoost and LightGBM. You will also explore unsupervised techniques like clustering and dimensionality reduction. Advanced topics include deep learning, natural language processing, big data with Apache Spark, and model deployment using Flask and Docker. Throughout the course, you will apply ethics and fairness principles and develop the professional communication skills needed to work effectively on data teams.
Elevify advantages
Develop skills
- Data Wrangling and Cleaning: Transform raw, messy datasets into analysis-ready formats using pandas.
- Machine Learning Modelling: Build, evaluate, and tune supervised and unsupervised models with scikit-learn.
- End-to-End Pipeline Development: Construct reproducible preprocessing and modelling pipelines for production deployment.
- Data Storytelling and Visualisation: Communicate findings through compelling charts, dashboards, and executive reports.
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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change 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 change chapters and skip content I don't need.
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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