Turn raw data into business intelligence and predictive models
Data Science & Analytics
Data science track covering statistics, Python for data, pandas, visualization, SQL, machine learning, deep learning, NLP, and data storytelling.
Data Science Foundations
Master the absolute essentials of data science. Learn applied statistics, Python programming, data cleaning with pandas and NumPy, exploratory data analysis, and data visualization.
Machine Learning with Python
Learn to implement supervised and unsupervised machine learning algorithms from scratch and using scikit-learn. Master regression, classification, clustering, evaluation, and feature engineering.
Deep Learning & NLP
Unlock advanced capabilities. Build neural networks from scratch and with TensorFlow/PyTorch. Master computer vision CNNs, sequence RNNs, attention, Transformers, and natural language processing.
Big Data Engineering with Spark
Master Apache Spark and big data engineering for processing massive datasets at scale.
Statistics for Data Science
Build a strong statistical foundation for data science, from descriptive statistics to hypothesis testing and Bayesian inference.