Understanding Data Science, Data Camp
Questions and Answers
______ are what we want to predict and _____ are data that might predict the label -
ANSWER-Label, Features
A data scientist van perform what type of modeling? - ANSWER-predictive
A/B Testing Steps - ANSWER-- Picking a metric to track
- Calculating sample size
- Running the experiment
- Checking for significance
Data analyst do what? - ANSWER-- Preform simpler analyses that describes data
- Create reports and dashboards to summarize data
- Clean data for analysis
Data analyst focus on what stage of data workflow? - ANSWER-Data prep and
exploration/visualization
Data analyst Specialize in visualization
T or F - ANSWER-T
Data engineers do what? - ANSWER-- build data pipelines and storage solutions
-maintain data access
Data engineers focus on what stage of data workflow? - ANSWER-Data collection &
storage
Data engineers need to know Python for prediction and modeling
T or F - ANSWER-F they use Python for data cleaning
Data engineers need to know SQL and Java
T or F - ANSWER-T
Data scientist focus on what part of the data work flow? - ANSWER-data prep and
exploration/visualization and experimentation/prediction
, Data Scientists are - ANSWER-- Versed in statistical methods
- Run experiments and analyses for insights
-Traditional machine learning
Database tasks are best accomplished by who? - ANSWER-Data engineers
Define clustering - ANSWER-Divide unlabeled dataset into different categories
Define confidence interval - ANSWER-1. Confidence interval- the interval in which you
are confident that the mean of the entire population is within a certain range (e.g. 95%)
Define machine learning - ANSWER-Predictions from data
Define Sample size - ANSWER-number of data points used
Define Seasonality - ANSWER-Repeating patterns related to time
Define Statistical Significance - ANSWER-Result is likely not due to chance
- use a statistical test to calculate this
Define Time Series Data - ANSWER-A series of data points sequenced by time
Describe Company Data - ANSWER-- Collected by companie
- Helps make data driven decisions
Describe Deep learning - ANSWER-- Many neurons working together
- Require much more training data
- Used to solve data intensive problems (ex. image classification or language
understanding)
Describe Open Data - ANSWER-- Free, open data sources
- Can be used shared, and built on by anyone
Explain quantitative and qualitative data - ANSWER-Quan: Deals with numbers and can
be measured
Qual: Deals with descriptions can be observed but not measured
Forecasting Time Series - ANSWER-- Derive a model from historical data to generate
predictions
Questions and Answers
______ are what we want to predict and _____ are data that might predict the label -
ANSWER-Label, Features
A data scientist van perform what type of modeling? - ANSWER-predictive
A/B Testing Steps - ANSWER-- Picking a metric to track
- Calculating sample size
- Running the experiment
- Checking for significance
Data analyst do what? - ANSWER-- Preform simpler analyses that describes data
- Create reports and dashboards to summarize data
- Clean data for analysis
Data analyst focus on what stage of data workflow? - ANSWER-Data prep and
exploration/visualization
Data analyst Specialize in visualization
T or F - ANSWER-T
Data engineers do what? - ANSWER-- build data pipelines and storage solutions
-maintain data access
Data engineers focus on what stage of data workflow? - ANSWER-Data collection &
storage
Data engineers need to know Python for prediction and modeling
T or F - ANSWER-F they use Python for data cleaning
Data engineers need to know SQL and Java
T or F - ANSWER-T
Data scientist focus on what part of the data work flow? - ANSWER-data prep and
exploration/visualization and experimentation/prediction
, Data Scientists are - ANSWER-- Versed in statistical methods
- Run experiments and analyses for insights
-Traditional machine learning
Database tasks are best accomplished by who? - ANSWER-Data engineers
Define clustering - ANSWER-Divide unlabeled dataset into different categories
Define confidence interval - ANSWER-1. Confidence interval- the interval in which you
are confident that the mean of the entire population is within a certain range (e.g. 95%)
Define machine learning - ANSWER-Predictions from data
Define Sample size - ANSWER-number of data points used
Define Seasonality - ANSWER-Repeating patterns related to time
Define Statistical Significance - ANSWER-Result is likely not due to chance
- use a statistical test to calculate this
Define Time Series Data - ANSWER-A series of data points sequenced by time
Describe Company Data - ANSWER-- Collected by companie
- Helps make data driven decisions
Describe Deep learning - ANSWER-- Many neurons working together
- Require much more training data
- Used to solve data intensive problems (ex. image classification or language
understanding)
Describe Open Data - ANSWER-- Free, open data sources
- Can be used shared, and built on by anyone
Explain quantitative and qualitative data - ANSWER-Quan: Deals with numbers and can
be measured
Qual: Deals with descriptions can be observed but not measured
Forecasting Time Series - ANSWER-- Derive a model from historical data to generate
predictions
