Machine Learning and Data Science MOOCs¶

| data science | machine learning | mooc |

There are a lot of difference Courses and Specialization on Coursera. But bookmarking (absent) and search is not very convenient. That’s why I’ve decided to track all interested resources here and a reference for easier navigation. I hope these courses will transform into knowledge 🤓

• References
• Organizations which offer MOOC
• Level: Beginner
• Level: Intermediate
• Level: Advanced

References¶

• https://www.mooc-list.com

Organizations which offer MOOC¶

• Stanford University
• Imperial College London
• Johns Hopkins University
• University of Michigan
• Moscow Institute of Physics and Technology
• Duke University
• University of Washington
• University of Minnesota
• deeplearning.ai
• University of Illinois at Urbana-Champaign
• National Research University Higher School of Economics
• Mail.Ru
• IBM

Level: Beginner¶

• Machine Learning by Stanford University (Andrew Ng)

• Mathematics for Machine Learning Specialization by Imperial College London
  • Mathematics for Machine Learning: Linear Algebra
  • Mathematics for Machine Learning: Multivariate Calculus
  • Mathematics for Machine Learning: PCA

• Data Science Specialization by Johns Hopkins University
  • The Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference
  • Regression Models
  • Practical Machine Learning
  • Developing Data Products
  • Data Science Capstone

• Data Science Math Skills by Duke University

• IBM Data Science Professional Certificate by IBM
  • What is Data Science?
  • Open Source tools for Data Science
  • Data Science Methodology
  • Python for Data Science
  • Databases and SQL for Data Science
  • Data Analysis with Python
  • Data Visualization with Python
  • Machine Learning with Python
  • Applied Data Science Capstone

Level: Intermediate¶

• Applied Data Science with Python Specialization by University of Michigan
  • Introduction to Data Science in Python
  • Applied Plotting, Charting & Data Representation in Python
  • Applied Machine Learning in Python
  • Applied Text Mining in Python
  • Applied Social Network Analysis in Python

• Машинное обучение и анализ данных Specialization by Moscow Institute of Physics and Technology
  • Математика и Python для анализа данных
  • Обучение на размеченных данных
  • Поиск структуры в данных
  • Построение выводов по данным
  • Прикладные задачи анализа данных
  • Анализ данных: финальный проект

• Introduction to Machine Learning by Duke University

• Statistics with R Specialization by Duke University
  • Introduction to Probability and Data
  • Inferential Statistics
  • Linear Regression and Modeling
  • Bayesian Statistics
  • Statistics with R Capstone

• Machine Learning Specialization by University of Washington
  • Machine Learning Foundations: A Case Study Approach
  • Machine Learning: Regression
  • Machine Learning: Classification
  • Machine Learning: Clustering & Retrieval

• Recommender Systems Specialization by University of Minnesota
  • Introduction to Recommender Systems: Non-Personalized and Content-Based
  • Nearest Neighbor Collaborative Filtering
  • Recommender Systems: Evaluation and Metrics
  • Matrix Factorization and Advanced Techniques
  • Recommender Systems Capstone

• Deep Learning Specialization by deeplearning.ai
  • Neural Networks and Deep Learning
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models

• Data Mining Specialization by University of Illinois at Urbana-Champaign
  • Data Visualization
  • Text Retrieval and Search Engines
  • Text Mining and Analytics
  • Pattern Discovery in Data Mining
  • Cluster Analysis in Data Mining
  • Data Mining Project

• Введение в информационный поиск by Moscow Institute of Physics and Technology / Mail.Ru Group / ФРОО
  • Введение, булев поиск
  • Поисковый индекс
  • Нечёткий поиск
  • Ранжирование
  • Ссылочное и поведенческое ранжирование
  • Оценка качества

Level: Advanced¶

• Advanced Machine Learning Specialization by National Research University Higher School of Economics
  • Introduction to Deep Learning
  • How to Win a Data Science Competition: Learn from Top Kagglers
  • Bayesian Methods for Machine Learning
  • Practical Reinforcement Learning
  • Deep Learning in Computer Vision
  • Natural Language Processing
  • Addressing Large Hadron Collider Challenges by Machine Learning