Master the Science of Data
Data Science is the intersection of domain expertise, programming skills, and knowledge of mathematics and statistics. This course prepares you to extract meaningful insights from data through sophisticated modeling techniques.
[Image of the Venn diagram of Data Science: Computer Science, Maths & Statistics, and Domain Knowledge]The Learning Roadmap
Module 1: Advanced Statistics & Exploratory Data Analysis
Probability distributions, Hypothesis testing, Regression analysis, and advanced Data Wrangling with Python.
Module 2: Machine Learning for Predictive Modeling
Supervised and Unsupervised Learning, Feature Engineering, and Model Evaluation (ROC-AUC, F1-Score).
Module 3: Big Data Tools & Spark
Introduction to NoSQL databases, PySpark for distributed computing, and cloud-based data warehouses.
Module 4: MLOps & Real-world Implementation
Deploying models as web services, monitoring model drift, and completing a Capstone Research Project.