Course 2

Question 1

What are the six common problem types?

Answer 1

1. Making predictions
2. Categorizing things
3. Spotting something unusual
4. identifying themes
5. Discovering connections
6. Finding Patterns

Question 2

What is a SMART question? (Define the acronym) And what does ensuring fairness in a question do?

Answer 2

Simple, Action-oriented, Relevant, Time-Bound

Fairness is ensuring that your questions don’t reinforce bias

Question 3

What is Quantitative vs Qualitative, and what is their relationship?

Answer 3

Quantitative is measurable numbers, or the what, and qualitative provides a context to that data, or a why.

Question 4

Name the 3 types of dashboards, and what they are used for

Answer 4

Strategic(long term), Operational (short term), Analytical (consists of datasets)

Question 5

What is a report?

Answer 5

A report is a static collection of data given to stakeholders periodically.

Question 6

What is a Dashboard?

Answer 6

Monitors live, and incoming data

Question 7

What is small data?

Answer 7

Specific, short-time period data that is helpful for day-to-day decisions but less useful for business decisions.

Question 8

What is Big data?

Answer 8

Large and less-specific over a long-term period. its used for large scale questions and problems, and help make big decisions

Question 9

What are the v words for big data?

Answer 9

Volume - how much
Variety - the different kinds Velocity - how fast can we process
Veracity - the quality and reliability of the data

Question 10

What is structured thinking?

Answer 10

The process of recognizing the current problem or situation, organizing available information, revealing gaps and opportunities, and identifying the options.

Question 11

What are you mainly including in a scope of work?

Answer 11

Deliverables, timeline, milestones, reports

Question 12

What questions can we ask to gain context for the data?

Answer 12

Who - is the person or org that created, collected and or funded the data collection

What - the things in the world that data would have an impact on

Where - the origin of the data

When - the time when the data was created or collected

How - the method used to create or collect it

Why - the motivation behind the creation or collection

Question 13

What are 3 types of stakeholders youll work with?

Answer 13

Executive, customer-facing, and data science team

Question 14

How can we work effectively with stakeholders?

Answer 14

Discuss goals, feel empowered to say no, plan for the unexpected, know your project, start with words and visuals, communicate often

Question 15

What three questions should you start with at the beginning of any project?

Answer 15

Who are the primary and secondary stakeholders? Who is managing the data? Where can you go to for help?

Question 16

What are the 4 steps for effective communication with your team?

Answer 16

1. Who is your audience?
2. What do they already know?
3. What do they need to know
4. How can you communicate that effectively to them

Question 17

What should you do before a meeting?

Answer 17

1. identify the objective, purpose and goals
2. acknowledge participants and keep them involved
3. organize data to be presented (visualizations)
4. Prepare and distribute an agenda

Question 18

What should be included in an agenda?

Answer 18

1. Meeting start and end time
2. meeting location
3. objectives
4. background material or data the participants should review beforehand

Question 19

What should you do during a meeting? (as a presenter)

Answer 19

Make intros
present data
discuss observations, interpretations, and implications of the data
take notes during the meeting
determine and summarize next steps for the group

Question 20

What should you do after a meeting?

Answer 20

distribute notes and data
confirm timeline for additional steps
ask for feedback