数据分析

数据分析课程介绍管理和分析大规模数据的方法。您将学习数据挖掘、大数据应用以及数据产品开发,成为一名数据科学家。

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Python Data Structures
University of Michigan
Python Data Structures
COURSE
Excel Skills for Business: Essentials
Macquarie University
Excel Skills for Business: Essentials
COURSE
Introduction to Data Science in Python
University of Michigan
Introduction to Data Science in Python
COURSE
What is Data Science?
IBM
What is Data Science?
COURSE
数据科学家的工具箱
Johns Hopkins University
数据科学家的工具箱
COURSE
Marketing Analytics
University of Virginia
Marketing Analytics
COURSE
Python for Data Science and AI
IBM
Python for Data Science and AI
COURSE
Data Science Math Skills
Duke University
Data Science Math Skills
COURSE
R Programming
Johns Hopkins University
R Programming
COURSE
Using Databases with Python
University of Michigan
Using Databases with Python
COURSE
Excel Skills for Business: Intermediate I
Macquarie University
Excel Skills for Business: Intermediate I
COURSE
Structuring Machine Learning Projects
deeplearning.ai
Structuring Machine Learning Projects
COURSE
Data Analysis with Python
IBM
Data Analysis with Python
COURSE
Tools for Data Science
IBM
Tools for Data Science
COURSE
Databases and SQL for Data Science
IBM
Databases and SQL for Data Science
COURSE
SQL for Data Science
University of California, Davis
SQL for Data Science
COURSE
Introduction to Big Data
University of California San Diego
Introduction to Big Data
COURSE
Cloud Computing Basics (Cloud 101)
LearnQuest
Cloud Computing Basics (Cloud 101)
COURSE
Data Science Methodology
IBM
Data Science Methodology
COURSE

    关于 数据分析 的常见问题

  • 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.