Google Advanced Data Analytics study guide
Google Advanced Data Analytics · Work through your exam, one topic at a time.
This independent study page provides practice for Google Advanced Data Analytics. Its editorial learning areas include Data projects, communication and accountable business value; Python and dataframe reasoning for applied analytics; Statistical inference, regression and model assumptions; Intelligent search, learning and evaluation; Data, Databases, and Information Retrieval; Identity, access and cryptographic protection. The Google Advanced Data Analytics study guide has 6 sections and about 3,029 words.
01Data projects, communication and accountable business value
An analytics project begins with a decision or problem that matters to a relevant stakeholder. Clarify what would count as a useful result, the available authority, data access, intended population and relevant constraints.
362 words, about 2 min02Python and dataframe reasoning for applied analytics
Python analytics uses language objects alongside libraries that define additional array and dataframe behavior. Lists, tuples, dictionaries and sets have different ordering, mutability and access properties.
366 words, about 2 min03Statistical inference, regression and model assumptions
Descriptive summaries characterize the supplied data; inferential claims require a relevant sampling or experiment model. A large sample can still be biased.
369 words, about 2 min04Intelligent search, learning and evaluation
Artificial intelligence questions should distinguish a search problem, a learned predictive model and a rule-based decision process. A system does not become reliable simply because it is described as intelligent.
416 words, about 2 min05Data, Databases, and Information Retrieval
Data questions move from raw facts to organized, queryable information. In the relational model, tables have rows (records) and columns (attributes); keys enforce identity and relationships.
659 words, about 3 min06Identity, access and cryptographic protection
This domain tests the identity lifecycle and the mechanisms that turn an identity into an authorised action. Expect questions that separate authentication from authorisation and that ask which access control model fits a scenario.
857 words, about 4 min