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Explore the Statistics Course Catalog
MathWorks
Skills you'll gain: Data Analysis, Data Science, Data Visualization, Exploratory Data Analysis, Feature Engineering, Machine Learning, Matlab, Regression
EDHEC Business School
Skills you'll gain: Data Analysis, Finance, Machine Learning, Python Programming, Data Management, Data Mining, Financial Analysis, Investment Management, Natural Language Processing, Applied Machine Learning, Computer Programming
University of Colorado Boulder
Skills you'll gain: Data Analysis, Applied Mathematics, Computer Science, Data Science, Data Visualization, Professional Development
Imperial College London
Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Applied Machine Learning, Python Programming, Tensorflow, Probability & Statistics, Statistical Analysis
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning, Probability & Statistics, Human Learning, Algorithms
University of Michigan
Skills you'll gain: Applied Machine Learning, Python Programming
Skills you'll gain: Algorithms, Human Learning, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning Software, Statistical Machine Learning, Probability & Statistics, Python Programming, Regression
Alberta Machine Intelligence Institute
Skills you'll gain: Data Analysis, Machine Learning, Applied Machine Learning, Human Learning, Machine Learning Algorithms, Computer Programming, Linear Algebra, Python Programming, Statistical Analysis
Status: FreeUniversity of Leeds
Imperial College London
Skills you'll gain: Epidemiology
Imperial College London
Skills you'll gain: Critical Thinking
In summary, here are 10 of our most popular statistics courses
- Practical Data Science with MATLAB:Â MathWorks
- Python and Machine-Learning for Asset Management with Alternative Data Sets:Â EDHEC Business School
- Data Science as a Field:Â University of Colorado Boulder
- TensorFlow 2 for Deep Learning:Â Imperial College London
- Probabilistic Graphical Models 3: Learning:Â Stanford University
- Llama for Python Programmers:Â University of Michigan
- Supervised Machine Learning: Classification:Â IBM
- Creating Features for Time Series Data:Â SAS
- Data for Machine Learning:Â Alberta Machine Intelligence Institute
- Programming for Data Science:Â University of Leeds
