Data Analyst - Week 1

SAS's iterative life cycle

Ask Prepare Explore Model Implement Act Evaluate

Data-Driven-Decision-Making

Using facts to guide business strategy

Data Scientust

create new questions using data

Data Analyst

find answers to existing questions by creating insights from data sources

Fill in the blank: The term _____ is defined as an intuitive understanding of something with little or no explanation.

gut instinct

What do subject-matter experts do to support data-driven decision-making? Select all that apply.

1. Validate the choices made as a result of the data insights 2. Offer insights into the business problem 3. Review the results of data analysis and identify any inconsistencies

4. ANALYZE

Data exploration, visualization, and analysis

Identify the real-world examples of how a company might make data-driven decisions.

Real-world examples of making data-driven decisions include suggesting new music to a customer, scheduling a certain number of restaurant employees to work, and choosing e-commerce solutions based on established facts. Data-driven decision-making is using facts to guide business strategy.

Gut instinct

an intuitive understanding of something with little or no explanation.

6. ACT

Putting your insights to work to solve the problem

1. ASK

Business Challenge/Objective/Question

5. SHARE

Communicating and interpreting results

In data analytics, what is the term for elements that interact with one another in order to produce, manage, store, organize, analyze, and share data?

Data Ecosystems

EMC's data analysis life cycle

Discovery Pre-processing data Model planning Model building Communicate results Operationalize

A furniture manufacturer wants to find a more environmentally friendly way to make its products. A data analyst helps solve this problem by gathering relevant data, analyzing it, and using it to draw conclusions. The analyst then shares their analysis with subject-matter experts from the manufacturing team, who validate the findings. Finally, a plan is put into action. This scenario describes data science.

False

Data analysis is the various elements that interact with one another in order to provide, manage, store, organize, analyze, and share data.

False

Project-based data analytics life cycle

Identifying the problem Designing data requirements Pre-processing data Performing data analysis Visualizing data

Data Analytics

The science of data

Cloud

a place to keep data online, rather than on a computer hard ware; virtual location

Data Analysis

the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making.

You have just finished analyzing data for a marketing project. Before moving forward, you share your results with members of the marketing team to see if they might have additional insights into the business problem. What practice does this support?

Data-driven decision-making

Fill in the blank: The primary goal of a data _____ is to create new questions using data.

scientist

data analysis life cycle

the process of going from data to decision

3. PROCESS

Data cleaning/data integrity

2. PREPARE

Data generation, collection, storage, and data management

In data analytics, a model is a group of elements that interact with one another.

False