Mathematical Foundation of Data Science
Learn App Data Science concepts with Mathematics
Limited offer2k/mo2.5k/mo
Duration
16 weeks
Level
Intermediate
Online
Yes
Syllabus Overview
Probability & Foundations (1–6)
- Probability, CDF, and key Distributions
- Expected Value and Variance; Conditional Expectation
- Introduction to Markov Chains
Sampling, Estimation & Inference (7–10)
- Random Samples; Sampling Distribution of Estimators
- Method of Moments & Maximum Likelihood
- Statistical Inference (CIs, hypothesis testing)
Multivariate Models & PCA (11–13)
- Multivariate statistical models
- Principal Component Analysis (PCA)
- Model Overfitting
Graph Theory Essentials (14–20)
- Graph Theory overview; Overfitting recap linkage
- Isomorphism; Planar graphs; Graph Coloring
- Hamiltonian & Euler graphs
- Permutations & Combinations
Data Mining (21)
- Basics of data mining tasks and workflows
Applied CS Topics (22–30)
- Network Protocols; Web Traffic Analysis
- Computer Security; Software Engineering
- Computer Architecture; OS & Distributed Systems
- Bioinformatics; Machine Learning; Recent Trends
Prerequisites
Basic Python programming knowledge and understanding of fundamental programming concepts