Анализ данных

Курсы по анализу данных посвящены методам управления большими массивами данных и их анализа. Начните карьеру специалиста по анализу данных, изучив интеллектуальный анализ данных, приложения для больших объемов данных и разработку аналитических приложений.

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Python Data Structures
University of Michigan
Python Data Structures
Курс
Excel Skills for Business: Essentials
Macquarie University
Excel Skills for Business: Essentials
Курс
Introduction to Data Science in Python
University of Michigan
Introduction to Data Science in Python
Курс
What is Data Science?
IBM
What is Data Science?
Курс
The Data Scientist’s Toolbox
Johns Hopkins University
The Data Scientist’s Toolbox
Курс
Using Databases with Python
University of Michigan
Using Databases with Python
Курс
Python for Data Science and AI
IBM
Python for Data Science and AI
Курс
R Programming
Johns Hopkins University
R Programming
Курс
Marketing Analytics
University of Virginia
Marketing Analytics
Курс
Excel Skills for Business: Intermediate I
Macquarie University
Excel Skills for Business: Intermediate I
Курс
Data Science Math Skills
Duke University
Data Science Math Skills
Курс
SQL for Data Science
University of California, Davis
SQL for Data Science
Курс
Fundamentos de Excel para Negocios
Universidad Austral
Fundamentos de Excel para Negocios
Курс
Tools for Data Science
IBM
Tools for Data Science
Курс
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
deeplearning.ai
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Курс
Structuring Machine Learning Projects
deeplearning.ai
Structuring Machine Learning Projects
Курс
Data Analysis with Python
IBM
Data Analysis with Python
Курс
Introduction to Data Analytics for Business
University of Colorado Boulder
Introduction to Data Analytics for Business
Курс
Databases and SQL for Data Science
IBM
Databases and SQL for Data Science
Курс

    Часто задаваемые вопросы на тему Анализ данных

  • 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.