Cours en Data Science
Les cours en data science peuvent vous aider à comprendre comment analyser des données, créer des modèles et évaluer leurs performances. Vous pouvez développer des compétences en statistique, apprentissage automatique, préparation des données et visualisation. De nombreux cours utilisent des langages et bibliothèques courants pour travailler sur des projets pratiques.
Cours et certificats populaires en Data Science
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model
Status: Free TrialSkills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Science, Machine Learning Algorithms, Data Analysis Software, Statistical Methods, Histogram, Data Processing, Numerical Analysis, Data Import/Export, Linear Algebra, Probability Distribution, Classification Algorithms
The University of Sydney
Skills you'll gain: Advanced Mathematics, Integral Calculus, Calculus, Mathematical Theory & Analysis, Differential Equations, Applied Mathematics, Trigonometry, Mathematical Modeling, Linear Algebra, Physics, Numerical Analysis, Derivatives
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Advanced Mathematics, Mathematical Modeling, Differential Equations, Physical Science
Status: Free TrialUniversity of Toronto
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Deep Learning, Robotics, Model Training, Machine Learning Algorithms, Model Evaluation, Linear Algebra
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Electrical Engineering, Communication Systems, Electronics, Telecommunications, Linear Algebra, Applied Mathematics
Status: PreviewFractal Analytics
Skills you'll gain: Computing Platforms, Cloud Computing, Information Technology, Cybersecurity, Theoretical Computer Science, Linear Algebra, Critical Thinking
Status: Free TrialThe Hong Kong University of Science and Technology
Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics, Numerical Analysis
Status: Free TrialUniversity of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Processing, Statistical Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Status: NewStatus: PreviewNortheastern University
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Dimensionality Reduction, Statistics, Probability & Statistics, Linear Algebra, Statistical Inference, Digital Signal Processing, Biological Engineering, Image Analysis, Experimentation, Biomedical Engineering, Applied Mathematics, Regression Analysis, Feature Engineering, Unsupervised Learning, Data Transformation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra
In summary, here are 10 of our most popular data science courses
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
- Introduction to Advanced Calculus: The University of Sydney
- Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
- Foundations of Quantum Mechanics: University of Colorado Boulder
- Visual Perception for Self-Driving Cars: University of Toronto
- Digital Signal Processing 3: Analog vs Digital: École Polytechnique Fédérale de Lausanne
- Quantum Computing For Everyone - An Introduction: Fractal Analytics
- Matrix Algebra for Engineers: The Hong Kong University of Science and Technology
- Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
