Week 1 & 2

having a technical mindset is an analytical skill involving what?

breaking things down into smaller steps or pieces

which aspect of analytical thinking involves being able to identify a relationship between two or more pieces of data?

correlation

A company defines a problem it wants to solve. Then, a data analyst gathers relevant data, analyzes it, and uses it to draw conclusions. The analyst shares their analysis with subject-matter experts, who validate the findings. Finally, a plan is put into action. What does this scenario describe?

data-driven decision-making

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

data analysis

Which of the following statements best defines data

data is a collection of facts

Sharing the results of your analysis with colleagues who are very familiar with the business problem supports what practice?

data-driven decision-making

quartile

divides data points into four equal parts or quarters

nonprofits

organizations dedicated to advancing a social cause or advocating for a particular effort, such as food security, education or the arts

analytical skills

qualities and characteristics associated with solving problems and facts

An airline collects, observes, and analyzes its customers' online behaviors. Then, it uses the insights gained to choose what new products and services to offer. What business process does this describe?

Data-driven decision-making

visualization

A graphical representation of information/data

in data analytics, the data ecosystem refers to the various elements that interact with one another to produce, manage, store, ______, analyze, and share data

organize

Which of the following terms refers to the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making?

Data analysis

analytical thinking

Identifying and defining a problem and then solving it by using data in an organized, step-by-step manner

dataset

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

In data analytics, what term describes a collection of elements that interact with one another?

a data ecosystem

gap analysis

a method for examining and evaluating the current state of a process in order to identify opportunities for improvement in the future

what practice involves identifying, defining, and solving a problem by using data in an organized, step-by-step manner?

analytical thinking

A company is receiving negative comments on social media about their products. To solve this problem, a data analyst uses each of their five analytical skills: curiosity, understanding context, having a technical mindset, data design, and data strategy. This makes it possible for the analyst to use facts to guide business strategy and figure out how to improve customer satisfaction. What is this an example of?

data-driven decision-making

Fill in the blank: Data _____ involves creating new ways of modeling and understanding the unknown by using raw data.

science

Question 6 Fill in the blank: The people very familiar with a business problem are called _____. They are an important part of data-driven decision-making.

subject-matter experts

technical mindset

the ability to break things down into smaller steps or pieces and work with them in an orderly and logical way

what method involves asking numerous questions in order to get to the root cause of a problem?

the five whys

data strategy

the management of the people, processes, and tools used in data analysis

detail-oriented thinking

the puzzle pieces, figuring out all of the aspects that will help you execute a plan

data ecosystem

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

big-picture thinking

the whole puzzle, zooming out to see possibilities and opportunities

T or F: Gap analysis is used to examine and evaluate how a process currently works with the goal of getting to where you want to be in the future

true

Adding descriptive headers to columns of data in a spreadsheet is an example of which analytical skill?

understanding context

the 5 key aspects to analytical thinking

1. Visualization 2. Strategy 3. Problem-orientation 4. Correlation 5. Big-picture and detail-oriented thinking

five essential points of analytical skills

1. curiosity 2. understanding context 3. having technical mindset 4. data design 5. data strategy

A junior data analyst is seeking out new experiences in order to gain knowledge. They watch videos and read articles about data analytics. They ask experts questions. Which analytical skill are they using?

curiosity

An airport wants to make its luggage-handling process faster and simpler for travelers. A data analyst examines and evaluates how the process works currently in order to achieve the goal of a more efficient process. What methodology do they use?

gap analysis

examples of data visualizations

graphs, maps, charts

visualization examples

graphs, maps, or other design elements

data design

how you organize information

data analysts use a problem-oriented approach in order to...

identify, describe, and solve problems

strategizing helps data analysts see...

what they want to achieve with the data and how they can get there