Google Data Analytics: Course 1 Week 1-5 Notes

Produce

Manage

Store

Organize

Analyze

Share

Procedures of the Data Ecosystem

Hardware and Software Tools

People who use them

Elements of the Data Ecosystem

Curiosity

Understanding Context

Technical Mindset

Data Design

Data Strategy

Analytical Skills (5)

Curiosity

All about wanting to learn something. Curious people usually seek out new challenges and experiences. This leads to knowledge.

Context

The condition in which something exists or happens. This can be a structure or an environment.

Technical mindset

The ability to break things down into smaller steps or pieces and work with them in an orderly and logical way.

Data design

How you organize information

Data strategy

The management of the people, processes, and tools used in data analysis

Visualization

Strategy

Problem orientation

Correlation

Big Picture and Detail Oriented Thinking

Key Aspects of Analytical Thinking (5)

Strategy

Helps data analysts see what they want to achieve with the data and how they can get there and also helps improve the quality and usefulness of the data we collect

Problem oriented

Used in order to identify, describe, and solve problems. It's all about keeping the problem top of mind throughout the entire project.

Detail-oriented thinking

All about figuring out all of the aspects that will help you execute a plan. In other words, the pieces that make up your puzzle

ask "why" five times to reveal the root cause. The fifth and final answer should give you some useful and sometimes surprising insights.

The Five Whys

Plan

Capture

Manage

Analyze

Archive

Destroy

The data life cycle (6)

Planning

This actually happens well before starting an analysis project. A business decides what kind of data it needs, how it will be managed throughout its life cycle, who will be responsible for it, and the optimal outcomes

Capture

One common method is getting data from outside resources. Another way to get data is from a company's own documents and files, which are usually stored inside a database.

Manage

Here we're talking about how we care for our data, how and where it's stored, the tools used to keep it safe and secure, and the actions taken to make sure that it's maintained properly.

Analyze

In this phase, the data is used to solve problems, make great decisions, and support business goals.

Archive

Storing data in a place where it's still available, but may not be used again.

Destroy

This is important for protecting a company's private information, as well as private data about its customers.

Six Phases of Data Analysis

Ask

Prepare

Process

Analyze

Share

Act

Ask

In this phase, we do two things. We define the problem to be solved and we make sure that we fully understand stakeholder expectations.

Prepare

This is where data analysts collect and store data they'll use for the upcoming analysis process. It is about: (1) the different types of data and how to identify which kinds of data are most useful for solving a particular problem and (2) why it's so important that your data and results are objective and unbiased

Process

Data analysts find and eliminate any errors and inaccuracies that can get in the way of results. This usually means cleaning data, transforming it into a more useful format, combining two or more datasets to make information more complete and removing outliers, which are any data points that could skew the information. This phase is all about getting the details right. you'll gain strategies for verifying and sharing your data cleansing with stakeholders.

Analyze

Involves using tools to transform and organize that information so that you can draw useful conclusions, make predictions, and drive informed decision-making

Share

How data analysts interpret results and share them with others to help stakeholders make effective data-driven decisions.

Act

The business takes all of the insights you, the data analyst, have provided and puts them to work in order to solve the original business problem and will be acting on what you've learned throughout this program.

Issue

A topic or subject to investigate

Question

Designed to discover information

Problem

An obstacle or complication that needs to be worked out

Business Task

The question or problem data analysis answers for business