Data Science in Python Course
Master Python-based data science from the ground up — from writing your first script to deploying machine learning models on real datasets. This course covers statistics, feature engineering, advanced ensemble methods, and end-to-end project workflows. You will graduate with a professional portfolio and the practical skills employers are actively hiring for.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
You will start by building a solid Python foundation and move through data manipulation with NumPy and Pandas, statistical analysis, and exploratory data analysis. From there, you will learn feature engineering, Scikit-Learn machine learning pipelines, and advanced techniques like gradient boosting with XGBoost and LightGBM. You will also cover model interpretability with SHAP, SQL for data retrieval, time series forecasting, and NLP fundamentals. Every chapter builds towards a complete, portfolio-ready data science project. By the end, you will have the technical depth and practical experience to work as a professional data scientist.
Elevify advantages
Develop skills
- Python Data Manipulation: Load, clean, and transform real datasets using NumPy and Pandas.
- Machine Learning Modeling: Build, evaluate, and tune supervised and unsupervised Scikit-Learn models.
- Feature Engineering Pipelines: Design end-to-end preprocessing workflows that feed production-ready ML models.
- Data Visualisation Communication: Create interactive charts and dashboards that turn raw analysis into clear insights.
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
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