1. Point out the wrong statement.
a) Exploratory analyses are usually the final way
b) Exploratory models are useful for discovering new connection
c) Exploratory analysis alone should not be used for predicting
d) all of the mentioned
Discussion
Explanation: Exploratory analyses are usually not the final way.
2. Which of the following uses data on some object to predict values for other object?
a) Inferential
b) Exploratory
c) Predictive
d) none of the mentioned
Discussion
Explanation: A prediction is a forecast, but not only about the weather.
3. Which of the following is the common goal of statistical modelling?
a) Inference
b) Summarizing
c) Subsetting
d) None of the mentioned
Discussion
Explanation: Inference is the act or process of deriving logical conclusions from premises known or assumed to be true.
4. Which of the following model is usually a gold standard for data analysis?
a) Inferential
b) Descriptive
c) Causal
d) all of the mentioned
Discussion
Explanation: A causal model is an abstract model that describes the causal mechanisms of a system.
5. Causal analysis is commonly applied to census data.
a) True
b) False
Discussion
Explanation: Descriptive analysis is commonly applied to census data.
6. Point out the correct statement.
a) Machine learning focuses on prediction, based on known properties learned from the training data
b) Data Cleaning focuses on prediction, based on known properties learned from the training data
c) Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art
d) none of the mentioned
Discussion
Explanation: Visualization is becoming a very important aspect.
7. Which of the following characteristic of big data is relatively more concerned to data science?
a) Velocity
b) Variety
c) Volume
d) None of the mentioned
Discussion
Explanation: Big data enables organizations to store, manage, and manipulate vast amounts of disparate data at the right speed and at the right time.
8. Which of the following analytical capabilities are provided by information management company?
a) Stream Computing
b) Content Management
c) Information Integration
d) all of the mentioned
Discussion
Explanation: With stream computing, store less, analyze more and make better decisions faster.
9. Point out the wrong statement.
a) The big volume indeed represents Big Data
b) The data growth and social media explosion have changed how we look at the data
c) Big Data is just about lots of data
d) All of the mentioned
Discussion
Explanation: Big Data is actually a concept providing an opportunity to find new insight into your existing data as well guidelines to capture and analysis your future data.
10. Which of the following step is performed by data scientist after acquiring the data?
a) Data Cleansing
b) Data Integration
c) Data Replication
d) all of the mentioned
Discussion
Explanation: Data cleansing, data cleaning or data scrubbing is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database.