Data Science Specialization provided by Johns Hopkins University
Includes 9 courses and the capstone project
- The Data Scientist's Toolbox (4 weeks)
- R Programming (4 weeks)
- Getting and Cleaning Data (4 weeks)
- Exploratory Data Analysis (4 weeks)
- Reproducible Research (4 weeks)
- Statistical Inference (4 weeks)
pending - Regression Models (4 weeks)
pending - Practical Machine Learning (4 weeks)
pending - Developing Data Products (4 weeks)
pending - Data Science Capstone (8 weeks)
pending
Specialization provided by Stanford University
- Linear Regression with one variable
- Linear Algebra review
- Linear Regression with multiple variables
- [Octave]
no information - Logistic Regression
- Regularization
- Neural Networks Representation
- Neural Networks Learning
- Advice for Applying Machine Learning
- Machine Learning System Design
- Support Vector Machines
- Clustering
- Dimensionality Reduction (PCA)
- Anomaly Detection
- Recommender System
- Large Scale Machine Learning
- Application Example OCR
Specialization provided by Duke University
Includes 4 courses and the capstone project
- Introduction to Probability and Data
- Inferential Statistics
- Linear Regression and Modeling
- Bayesian Statistics
- Statistics Capstone Project
Specialization provided by Washington University
Includes 4 courses
- Machine Learning Foundations
- Machine Learning Regression
- Machine Learning Classification
- Machine Learning Clustering & Retrieval
Specialization provided by DeepLearning.ai
Includes 5 courses
- Neural Networks and Deep Learning
- Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
no programming assignments - Convolutional Neural Networks
- Sequence Models
Specialization provided by University of Alberta
Includes 4 Courses