About Data Science
Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science practitioners apply machine learning algorithms to numbers, text, images, video, audio, and more to produce artificial intelligence (AI) systems to perform tasks that ordinarily require human intelligence. In turn, these systems generate insights which analysts and business users can translate into tangible business value.
Data science combines math and statistics, specialized programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights hidden in an organization’s data.
Data science’s lifecycle consists of five distinct stages, each with its own tasks:
- Capture: Data Acquisition, Data Entry, Signal Reception, Data Extraction. This stage involves gathering raw structured and unstructured data.
- Maintain: Data Warehousing, Data Cleansing, Data Staging, Data Processing, Data Architecture. This stage covers taking the raw data and putting it in a form that can be used.
- Process: Data Mining, Clustering/Classification, Data Modeling, Data Summarization. Data scientists take the prepared data and examine its patterns, ranges, and biases to determine how useful it will be in predictive analysis.
- Analyze: Exploratory/Confirmatory, Predictive Analysis, Regression, Text Mining, Qualitative Analysis. Here is the real meat of the lifecycle. This stage involves performing the various analyses on the data.
- Visualize: Data Reporting, Data Visualization, Business Intelligence, Decision Making. In this final step, analysts prepare the analyses in easily readable forms such as charts, graphs, and reports.
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Which of the following is the most important language for Data Science?
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Ruby
Perl
Python
Java
Which of the following is one of the key data science skills?
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Statistics
Machine Learning
Data Visualization
All of the mentioned
Who is the father of data science?
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Rasmus Lerdorf
James Gosling
Guido van Rossum
William S. Cleveland
Data science is the process of diverse set of data through ?
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analysing data
processing data
organizing data
All of the above
We write __ in front of mean to let Python know that we want to activate the mean function from the Numpy library.
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ng.
np.
py.
npm.
Why Machine Learning in Data Science?
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For Prediction
For Cleaning
For Visualization
All of the above
Which of the following is not a application for data science?
Online Price Comparison
Privacy Checker
Recommendation Systems
Image & Speech Recognition
A column is a __ representation of data.
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vertical
top
diagonal
horizontal
A __ is a structured representation of data.
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functions
database table
data frame
data prepration
Which of the following is a revision control system?
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Numpy
Pandas
Git
Scipy
Which of the following step is performed by data scientist after acquiring the data?
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Data Replication
Data Integration
Data Forecasting
Data Cleaning
Data can be categorized into __ groups.
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2
3
4
5
Weighted Average is used in :
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Regression
Forecasting
Classification
All of the above
Which of the following are “Measures of Central Tendency”?
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Mode, Mean, Median
Mean, Range, Mode
Mean, Standard Deviation, Range
Range, Standard Deviation, Variance
Identify the activation function output which is zero centered
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Hyperbolic tangent
Sigmoid
Softmax
All of the above