Google Data Analytics

Question 1

Different Roles

Answer 1

Data Engineering converts raw data into usable data

Data Analytics use this data to generate insights

Data scientists use Data Analytics and Data Engineering to predict the future using data from the past

Business Analysts and Business Intelligence Analysts use these insights and predictions to drive decisions that benefit and grow their business

Question 2

Processes For Data Analysis

Answer 2

1. Ask
   1.1 Define what problem to be solved
   1.2 Figure out stakeholder’s expectations
2. Prepare
3. Process, clean data
4. Analyze
5. Share
6. Act

Question 3

Human insights

Answer 3

It is important to pair up data with human experience, subject matter exports, to generate insights

Question 4

Analytical Skills

Answer 4

Qualities and characteristics associated with solving problems using facts

1. Curiosity
2. Understanding context, the condition in which something exists or happens
3. Having a technical mindset, The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way
4. Data design, How to organize information
5. Date strategy, The management of the people, processes, and tools used in data analysis.

Question 5

Thinking Analytically

Answer 5

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

1. Visualization
2. Strategy
3. Problem-orientation
4. Correlation, Correlation does not equal causation.
5. Big-picture and detail-oriented thinking

Question 6

How To Ask The Right Questions

Answer 6

1. What is the root cause of the problem?
   1.1 5 whys, Ask why 5 times to reveal the root cause
2. Where are the gaps in our process?
   2.1 Gap analysis, A method for examining and evaluating how a process works currently in order to get where you want to be in the future.
3. What did we not consider before?

Question 7

Life Cycle of Data

Answer 7

1. Plan
2. Capture
3. Manage
4. Analyze
5. Archive
6. Destroy

Question 8

Fairness

Answer 8

Ensuring that your analysis doesn’t create or reinforce bias

Question 9

Open Data

Answer 9

Data that is available to the public and free to use, with guidance on how to navigate the datasets and acknowledge the source.

Question 10

Communication

Answer 10

3 parts to consider
1. Purpose/Goal
2. Sender
3. Receiver

Tips for efficient communication
1. Use direct language
2. Minimize wordiness
3. Avoid unnecessary details