Google Data Analytics #2_Thinking Analytically

Data Skill Sets?

• What it takes to be a data analysts

1. Analytical Skills

• qualities and characteristics associated with solving problems using facts

2. Technical Mindset

• analytical skill that involves breaking processes down into smaller steps and working with them in an orderly, logical way

3. Data Design

• analytical skill that involves how you organize information

4. Understanding Context

• analytical skill that has to do with how you group things into categories

5. Data Strategies

• analytical skill that involves managing the processes and tools used in data analysis

Analytical Thinking?

• Identifying and defining 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
5. Big-picture and detail-oriented thinking

Root Cause & 5 'WHY's

Root Cause : the reason why a problem occurs

• Knowing the root cause will help manipulate the event to occur or not occur again
  • Ask "WHY" 5 times to reveal the root cause

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
  • improve a product
  • become more efficient

General approach to Gap Analysis is
1. Understanding where you are right now compared to where you want to be
2. Identifying the gaps exists between the current and future state and determine how to bridge them

Missing Piece

• consideration that was not done before

Looking for the potential information or procedure missing from the process will help make better decisions moving forward