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
Skills you'll gain: Data Storytelling, Dashboard Creation, Data Presentation, Data Wrangling, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, SQL, Plot (Graphics), Dashboard, Interactive Data Visualization, Data Analysis, Interviewing Skills, IBM Cognos Analytics, Excel Formulas, Programming Principles, Python Programming, Microsoft Excel
Skills you'll gain: Plotly, PyTorch (Machine Learning Library), NumPy, Matplotlib, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Machine Learning Methods, Python Programming, Applied Machine Learning, Scatter Plots, Numerical Analysis, Data Manipulation, Deep Learning, Image Analysis, Linear Algebra, Data Wrangling
John Wiley & Sons
Skills you'll gain: Statistics, Probability & Statistics, Data Analysis, Statistical Methods, Data Literacy, Data Collection, Unsupervised Learning, Text Mining, Analytical Skills, Statistical Inference, Unstructured Data, Probability, Predictive Modeling, Data Science, Deep Learning, Machine Learning, Machine Learning Methods, Data Visualization, Business Communication, Communication
University of Colorado System
Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Clinical Research, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Data Mapping, Clinical Informatics, Google Cloud Platform, Data Dictionary, Data Quality, Natural Language Processing, grep, Informatics, Text Mining, R Programming
Coursera
Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Plot (Graphics), Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Model Training, Machine Learning, GitHub
Imperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Regression Analysis, NumPy, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Model Optimization, Mathematical Software, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Artificial Neural Networks, Algorithms, Python Programming, Advanced Mathematics
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Git (Version Control System), Knitr, Data Sharing, GitHub, Machine Learning
Skills you'll gain: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Model Optimization, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Model Training, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Model Optimization, Data Analysis, Python Programming
Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Cloud Computing, Git (Version Control System), Application Programming Interface (API), Other Programming Languages, Development Environment, Query Languages, Python Programming, Machine Learning, Open Source Technology
Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Classification And Regression Tree (CART), Business Research, Data Mining, Data Manipulation, Model Evaluation, Model Training, Data Quality, Data Analysis, Business Requirements, Data Collection, Decision Tree Learning, Data Storytelling
In summary, here are 10 of our most popular Data Science courses
- IBM Data Analyst: IBM
- Data Science with Python: Packt
- Data Science and Machine Learning for Business Professionals: John Wiley & Sons
- Clinical Data Science: University of Colorado System
- Data Science Challenge: Coursera
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Mathematics for Machine Learning: Imperial College London
- Data Science: Foundations using R: Johns Hopkins University
- Data Science Beyond the Basics (ML+DS): Coursera
- Data Science Coding Challenge: Loan Default Prediction: Coursera
