ALX Data analytics - week 1 - Introduction to data and data analysis

data

What is data?

Data refers to raw facts and figures that can be processed and analysed to extract meaningful information. It can come in various forms, such as numbers, text, images, or sounds, and is essential for decision-making and insights in data analytics.

How does a computer understand data?

A computer understands data through encoding ASCII codes, which are numbers from () to 255, which transforms data into binary format (0s and 1s) that it can process. It uses software algorithms to interpret and manipulate this data to perform tasks and generate insights.

What is the data table?

A structured arrangement of data in rows and columns, used to organize and represent information systematically for analysis.

What do BLOBs stand for? And where do we use it?

BLOBs stand for Binary Large Objects, which are used to store large amounts of binary data, such as images, audio, or video files, in databases.

Name the parts of DIKW pyramid

Data, Information, Knowledge, Wisdom

The definition of information

is data that is processed or organized in a way that provides meaning and context, allowing for better understanding and decision-making.

The definition of knowledge in DIKW

Is the understanding and awareness gained through experience and information, enabling the application of insights to make informed decisions.

The definition of wisdomin DIKW

is the ability to make sound judgments and decisions based on knowledge and experience, often incorporating ethical considerations and long-term impacts.

Data versus Information

Data refers to raw, unprocessed facts and figures, while information is data that has been organized and processed to provide meaning and context.

What is data used for?

Data is used for analysis, decision-making, and deriving insights to inform actions and strategies.

Product development and optimizing business processes.

Storytelling and improving user experience.

Definition of data-driven-decision making

Data-driven decision-making is the process of making decisions based on data analysis and interpretation rather than intuition or observation alone. This approach emphasizes the importance of data in guiding strategies and actions.

Data lifecycle

Data Collection, Data storage, Data processing, Data visualization, Data dissemination, Data achieving, and Data Destruction