2. 统计方面的知识:考察方式包括小的应用题,怎样跟不了解统计的stakeholder解释你的分析 3. Coding test(常出现在大公司的面试中,easy-intermediate level的题),小公司或者不是做tech方面的公司考察这部分的情况比较少 4. Communicaiton:给面试者一个数据集分析,之后不仅需要报告结果,还会要求面试者做一个presentation...
三、大杂烩(Theory+Coding+Business) 一般来说,这都是project based的题目。 project based的题目分成两类,一类是现场解题,一类是Takehome Test。 现场的题目我看到过不多,只有一次面试是面试官当场给了一个数据集,并向我提出一个问题,让我花1小时分析,并且向他展示分析结果。 Takehome test是一个大类,经常考,...
CML An open source toolkit for using continuous integration in data science projects. Automatically train and test models in production-like environments with GitHub Actions & GitLab CI, and autogenerate visual reports on pull/merge requests. Dask An open source Python library to painlessly transitio...
The need for so many data sets becomes clear when one considersFigure 18.2, which shows how test data will progress across the layers of the EDW reference architecture. All teams validate their coding with at least a set ofnominal data, which is a collection of data records that should load...
Here, you also can find a coding pack for Python for Windows that will install everything you need for this module. If you're not using Windows, you can find a guide for setting up your environment in Data Science in Visual Studio Code....
Data Science Learn Python, SQL, machine learning, analyzing data, generating visualizations, and more. Advance your career with data science skills or expand into a new area. Learn more Coding Develop the skills to build websites and apps, write back-end code, manage databases, or become a ...
AWESOME DATA SCIENCEAn open-source Data Science repository to learn and apply towards solving real world problems.This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?"...
These Data Science tools form the backbone of data science workflows, enabling data scientists to collect, process, analyze, visualize, and model data effectively.
Data Science Dojo blog features the most recent, and relevant articles about data science, analytics, generative AI, large language models, machine learning, and data visualization.
在最开始，我对Data方向的工作内容也是有些迷糊的，对business analytics以及data science这个两个方向的...