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
