Data Science

Become a Data Scientist

Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.

• Learn essential data analysis methods and tools

• Master Machine Learning and Deep Learning

• Create AI solutions and advanced predictive models

• Build a solid portfolio and learn to work in a data team

Learn Python For Data Science

Extract data from relational databases, manipulate the big data matrix, and build visualizations. Understand key math concepts for data analysis, like statistics and linear algebra.

Put Yourself In The Shoes Of a Data Consultant

Learn how to survive the data preparation phase of a vast dataset. Extract insights by interpreting statistical results based on multivariate regression models, hypothesis testing, and confidence intervals.

Implement the Machine Learning workflow

Implement the machine learning workflow with Scikit-Learn (data preparation, feature engineering, model selection, evaluation, and fine-tuning) and understand math intuitions and numerical implementations of ML models.

Dive into Deep Learning

Become proficient in neural network architectures and parameters, constructing networks for image, sequence, and text analysis. Dive into AI by coding a transformer from scratch and developing GenAI applications. Gain practical skills with pre-trained "big models" from cutting-edge open-source research.