Google Data Analytics module 1

Data analysis

The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Data-driven decision making

Making decisions based on the analysis and interpretation of data.

Patterns and relationships

Identifying recurring patterns and relationships in data to make predictions and inform decision-making.

Data analysts

Professionals who collect, analyze, and interpret data to provide insights and support decision-making.

Data ecosystem

A group of elements, including hardware, software, and people, that interact to produce, manage, store, organize, analyze, and share data.

Cloud

A virtual location where data is stored and accessed over the internet, rather than on a computer hard drive.

Data Scientist

A professional who creates new ways of modeling and understanding the unknown by using raw data.

Data Analyst

A professional who finds answers to existing questions by creating insights from data sources.

Data Analysis

The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Data Analytics

The science of data, encompassing everything from managing and using data to the tools and methods used by data workers.

Data-Driven Decision-Making

Using facts and data to guide business strategy and make informed decisions.

Gut Instinct

An intuitive understanding of something with little or no explanation.

Bias

A preference for making decisions based on personal experience rather than data, which can lead to mistakes and inaccuracies.

Data Analysis Life Cycle

The process of going from data to decision, involving steps such as asking questions, preparing and processing data, analyzing data, sharing results, and taking action.

Subject Matter Expert

A person who is familiar with the business problem and can provide insights and validate choices made based on data analysis.

Data + Business Knowledge

The combination of data analysis and business knowledge to make informed decisions and solve problems.

Data Analysis Process

A step-by-step process that includes asking business questions, preparing and processing data, analyzing data, sharing results, and taking action.

Discovery

The phase of the data analysis life cycle that involves discovering and asking questions.

Pre-processing

The phase of the data analysis life cycle that involves generating, collecting, storing, and managing data.

Model Planning

The phase of the data analysis life cycle that involves planning the analysis and selecting appropriate models.

Model Building

The phase of the data analysis life cycle that involves building and implementing models to analyze the data.

Communicate Results

The phase of the data analysis life cycle that involves communicating and interpreting the results of the analysis.

Operationalize

The phase of the data analysis life cycle that involves putting the insights and recommendations into action.

Iterative Life Cycle

A cyclical data analysis life cycle that involves repeating steps and continuously evaluating and improving the analysis.

Project-Based Data Analytics Life Cycle

A data analytics life cycle that involves identifying the problem, designing data requirements, pre-processing data, performing data analysis, and visualizing data.

Big Data Analytics Life Cycle

A data analytics life cycle specifically designed for big data, involving phases divided into nine steps, including business case evaluation.

Data

A collection of facts.

Data analysis

The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

Data ecosystem

The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data.

Data-driven decision-making

Using facts to guide business strategy.

Data analyst

Someone who collects, transforms, and organizes data in order to drive informed decision-making.