BASIC DATA ANALYST
Data Analysis Process
1. Ask and specify the problems
2. Prepare the data collect and save the information
3. Process the data, clean and check the available information
4. Analyse the data to find the pattern, relation and the trends
5. Share the data with group member
6. Act based on data and the conclusion of the analysis
What to have for being data analyse?
1. Curiosity
wanting to learn somethings
2. Understanding context
condition in which something exists or happens
3. Having a technical mindset
ability to break things into smaller steps or pieces and work with
them in an orderly and logical way
4. Data design
how you organize the information
5. Data strategy
the management of the people, processes and tools uses in data
analysis
Analytical thinking
Identifying and defining a problem and then solving it by using data in an
organized step by step manner
5 key aspects:
1. Visualization
the graphical representation of information. Graph, maps, etc
2. Strategies
stay focus on track to solve the problems
3. Being problem oriented
4. Being identify
for correlation between 2 or more data
5. Big picture thinking
just like looking at a complicated puzzle to see possibility and
opportunities
Life cycle of data
1. Planning
make a plan to analyse the data
Data Analysis Process
1. Ask and specify the problems
2. Prepare the data collect and save the information
3. Process the data, clean and check the available information
4. Analyse the data to find the pattern, relation and the trends
5. Share the data with group member
6. Act based on data and the conclusion of the analysis
What to have for being data analyse?
1. Curiosity
wanting to learn somethings
2. Understanding context
condition in which something exists or happens
3. Having a technical mindset
ability to break things into smaller steps or pieces and work with
them in an orderly and logical way
4. Data design
how you organize the information
5. Data strategy
the management of the people, processes and tools uses in data
analysis
Analytical thinking
Identifying and defining a problem and then solving it by using data in an
organized step by step manner
5 key aspects:
1. Visualization
the graphical representation of information. Graph, maps, etc
2. Strategies
stay focus on track to solve the problems
3. Being problem oriented
4. Being identify
for correlation between 2 or more data
5. Big picture thinking
just like looking at a complicated puzzle to see possibility and
opportunities
Life cycle of data
1. Planning
make a plan to analyse the data
