Into to Data Analytics Flashcards
Develops & maintains data architectures
Data Engineer
Converts raw data into usable data
Data Engineer
Translates data and numbers into plain language
Data Analyst
Identifies correlations, finds patterns, and applies statistical methods to analyze and mine data
Data Analyst
Uses the data derived from Data Engineers to generate insight
Data Analyst
Trains on past data to create predictive models
Data Scientist
Uses data from Data Analytics & Data Engineers to predict the future using data from the past
Data Scientist
Answers the questions “Are the users search experiences generally good or bad with the search functionality on our site?”
Data Analyst
Answers the questions “What percentage of my customers am I likely to lose to competition in the next quarter?”
Data Scientist
Leverages the work of Data Analytics and Data Scientists to look at the possible implications for their business and the actions they need to take or reccomend
Business Analyst
Focuses on market forces & external influences. Also, explores data to extract insights & actionables that improves business performance
BI Analyst
The process of gathering, cleaning, analyzing, and mining data
Data Analysis
“What Happened”
Provides insight into past events
Descriptive Analytics
“Why did it happen”
Takes insight from Descriptive Analytics to dig deeper to find the cause of the outcome
Diagnostic Analytics
“What will happen next”
Leverages historical data and trends to predict future outcomes
Predictive Analytics
“What should be done about it”
Analyzes past decisions & events to estimate the likelihood of different outcomes
Prescriptive Analytics
What are the 7 processes of Data Analysis
- Understanding the problem & desired result
- Setting a clear metric
- Gathering data
- Cleaning Data
- Analyzing and Mining Data
- Interpreting Results
- Presenting your Findings
The systematic computational analysis of data and statistics
-Based on historical data
Analysis
The systematic computational analysis of data or statistics
-Predicting the future of performance
Analytics
Where raw data is staged so it can be organized, cleaned, and optimized for use by end-users
Enterprise Data Environment
Business stakeholders, analysts, and programmers who consume data for various purposes are considered?
End-Users
What are the 3 emerging technologies that are reshaping the data ecosystem?
- Cloud Computing
- Machine Learning
- Big Data
What are the 4 primary types of Data Analysis?
- Descriptive Analytics
- Diagnostic Analytics
- Predictive Analytics
- Prescriptive Analytics
Helps decode “what happened”
Descriptive Analytics
