データ分析

データ分析のコースでは、大規模なデータセットを管理および分析する方法について学習します。データマイニング、ビッグデータアプリケーション、データ製品開発を学ぶことで、データサイエンティストとしてのキャリアを開始できます。

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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
The Data Scientist’s Toolbox
Johns Hopkins University
The Data Scientist’s Toolbox
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
Using Databases with Python
University of Michigan
Using Databases with Python
COURSE
R Programming
Johns Hopkins University
R Programming
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
SQL for Data Science
University of California, Davis
SQL for Data Science
COURSE
Databases and SQL for Data Science
IBM
Databases and 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
Introduction to Data Analytics for Business
University of Colorado Boulder
Introduction to Data Analytics for Business
COURSE

    データ分析に関するよくある質問

  • 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.