Analyse des données

Les cours Analyse des données traitent les méthodes de gestion et d'analyse d'ensemble de données volumineux. Commencez votre carrière de scientifique des données en étudiant l'exploration des données, les applications Big Data et le développement de produits données.

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What is Data Science?
IBM
What is Data Science?
Cours
Python Data Structures
University of Michigan
Python Data Structures
Cours
Excel Skills for Business: Essentials
Macquarie University
Excel Skills for Business: Essentials
Cours
Tools for Data Science
IBM
Tools for Data Science
Cours
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
deeplearning.ai
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Cours
Python for Data Science and AI
IBM
Python for Data Science and AI
Cours
Marketing Analytics
University of Virginia
Marketing Analytics
Cours
Introduction to Data Science in Python
University of Michigan
Introduction to Data Science in Python
Cours
Forensic Accounting and Fraud Examination
West Virginia University
Forensic Accounting and Fraud Examination
Cours
Fundamentals of Quantitative Modeling
University of Pennsylvania
Fundamentals of Quantitative Modeling
Cours
Structuring Machine Learning Projects
deeplearning.ai
Structuring Machine Learning Projects
Cours
Customer Analytics
University of Pennsylvania
Customer Analytics
Cours
The Data Scientist’s Toolbox
Johns Hopkins University
The Data Scientist’s Toolbox
Cours
Data Science Methodology
IBM
Data Science Methodology
Cours
Marketing Digital
Universidade de São Paulo
Marketing Digital
Cours
Data Analysis with Python
IBM
Data Analysis with Python
Cours
Excel Skills for Business: Intermediate I
Macquarie University
Excel Skills for Business: Intermediate I
Cours
Databases and SQL for Data Science
IBM
Databases and SQL for Data Science
Cours
SQL for Data Science
University of California, Davis
SQL for Data Science
Cours

    Questions fréquentes sur Analyse des données

  • Data analysis is the process of applying statistical analysis and logical techniques to extract information from data. When carried out carefully and systematically, the results of data analysis can be an invaluable complement to qualitative research in producing actionable insights for decision-making.

    If that sounds a lot like data science, you’re right! It’s a closely related field, but there are important differences. Data scientists typically come from computer science and programming backgrounds and rely on coding skills to build algorithms and analytic models to automate the processing of data at scale. Data analysts typically have backgrounds in mathematics and statistics, and frequently apply these analytic techniques to answer specific business problems - for example, a financial analyst at an investment bank.