A holistic data science program covering the entire data lifecycle, from collection, cleansing, EDA, feature engineering, ML/DL to deployment using Python, R, Spark & more.
Follow this path to mastery. Our AI guide leads the way.
Data acquisition, web scraping, and preprocessing
Exploratory data analysis, feature creation
Regression, classification, and model evaluation
Clustering, PCA, forecasting
Neural networks and text processing
PySpark, Hadoop ecosystem, and big data tools
Tableau, Power BI, and dashboards
Flask, Streamlit, AWS, and Docker