Week 1

Lakukan tugas rumah & ujian kamu dengan baik sekarang menggunakan Quizwiz!

What is Data set?

A collection of data that can be manipulated or analyzed as one unit

What is Data?

A collection of facts. Numbers, words, pictures, observations are all considered data

What is the cload?

A place to keep data online rather than a physical hard drive.

What is the Data analytics process?

A. P. P. A. S. A. Ask questions - I.D. the problem Prepare - Collect and Store info Process - Check and Clean info Analyze - Find patterns, relationships, and trends Share - Share findings with audience Act - Use analysis results to make desired change

What is the difference between Data Scientists and Data Analysts?

Data Scientists create new ways of modeling and understanding unknowns. Data Analysts are people who find answers to existing questions by creating insights with data.

What are the 3 Disciplines of data science and what are its specific excellences?

Machine Learning - Performance is the excellence. This is essentially making many decisions under uncertainty. Statistics - Rigor is the excellence. Making a few important decisions under uncertainty. Analytics - Speed is the excellence. Unsure how many decisions to make.

What is Data Analysis(Different from Data Analytics)?

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

What is Decision Intelligence?

The combination of applied data science with social and managerial science.

What is a Data Analyst

The people who do perform data analytics

What is the Data Ecosystem?

The various elements that interact with one another to produce, manage, store, organize, analyze, and share the data. This includes hardware, software, and the data analyst people themselves.

What is Data Analytics?

This is the broad term for data analysis and the data ecosystem.

What is a main goal for data analytics?

To turn data into insights!

What is Data Science?

Umbrella term for making for the disciplines of making data useful.


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