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: PreviewErasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Statistical Methods, Data Analysis, Economics, Trend Analysis, Analytics, Statistical Analysis, Statistical Modeling, Statistics, Case Studies, Forecasting, Probability & Statistics, Estimation, Model Evaluation, Statistical Hypothesis Testing, Probability, Linear Algebra
Status: Free TrialÉcole Polytechnique Fédérale de Lausanne
Skills you'll gain: Digital Signal Processing, Digital Communications, Communication Systems, Telecommunications, Algorithms, Linear Algebra
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: PreviewÉcole Polytechnique
Skills you'll gain: Semiconductors, Materials science, Differential Equations, Integral Calculus, Numerical Analysis, Linear Algebra, Derivatives, Applied Mathematics, Chemistry, Physics
Status: NewStatus: Free TrialPragmatic AI Labs
Skills you'll gain: Rust (Programming Language), Social Network Analysis, Algorithms, Network Model, Network Analysis, Data Structures, Command-Line Interface, JSON, Data Processing, Continuous Integration, Package and Software Management, Linear Algebra
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Estimation, Electrical Engineering, Numerical Analysis, Linear Algebra, Physics, Angular, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Mechanics, Calculus, Differential Equations, Engineering Analysis, Physical Science
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Model Evaluation, Statistical Hypothesis Testing, Integral Calculus
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model
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 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
Status: Free TrialUniversity of Michigan
Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Anomaly Detection, Machine Learning Methods, Statistical Methods, Linear Algebra, Python Programming, Classification Algorithms
Status: PreviewFractal Analytics
Skills you'll gain: Computing Platforms, Cloud Computing, Information Technology, Cybersecurity, Theoretical Computer Science, Linear Algebra, Critical Thinking
In summary, here are 10 of our most popular data science courses
- Econometrics: Methods and Applications:Â Erasmus University Rotterdam
- Digital Signal Processing 1: Basic Concepts and Algorithms: École Polytechnique Fédérale de Lausanne
- Linear Algebra and Regression Fundamentals for Data Science:Â University of Pittsburgh
- Density Functional Theory: École Polytechnique
- Graph Algorithms with Rust:Â Pragmatic AI Labs
- Quantum Mechanics for Engineers:Â University of Colorado Boulder
- Advanced Linear Models for Data Science 2: Statistical Linear Models:Â Johns Hopkins University
- Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors:Â Johns Hopkins University
- Foundations of Quantum Mechanics:Â University of Colorado Boulder
- NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
