WorksheetsSains Data- Middle Test
Total questions: 25
Worksheet time: 50mins
A branch of science that combines mathematics, statics with computer science with the aim of analyzing data both small scale (sample) and large (population) by applying certain algorithms, is the definition of:
Data warehouse
Data science
Data obtain
Data complexity
One of the capabilities needed in data science is, unless:
Business knowledge
Computer science
Public speaking
Statistics and mathematics
Some of the processes involved in data science are, except:
Bigdata
database
data mining
Business intelligence
One of the stages in data science that is used as regression and prediction to estimate future values and classify and group groups of values from data is:
type
scrub
explore
interpret
The following picture is...
abilities needed by data science
ability required by a BI.
the main factors supporting data science
important scientific fields learned
The process of organizing, tidying up data, and discarding anything that is not needed, and replacing lost data and standardizing the entire format, is a stage in data science:
explore
scrub
obtain
analisis
What is Big Data?
Optimization of company costs, Increasing business effectiveness and efficiency, Product development, Gaining insights about customers and markets.
Optimization of marketing costs, Increasing productivity, Gaining insights about customers and markets
a collection of processes consisting of volumes of data with a small capacity and holding only structured and unstructured data
A collection of processes consisting of large volumes of data and can hold structured and unstructured data.
Which is the complexity data below, except:
volume
validitas
velocity
variety
Below is the application of big data in a number of sectors:
government
Banking
Manufacturing
all true
Big data works with the following 3 processes/ ways, namely:
Analysis, Data integration and data management
Data integration, data verification and analysis
Data integrase, data management and data validation
Data analysis, data management and data validation
Big data is collected from various sources, it can be from transaction data, customer data, photos of products in ecommerce, videos on other social media data. This is one of the processes in big data work, which is at the stage....
Data management
Stage of analysis
Data integration
All right
Below is the function of Big data, except:
Can determine the cause of a problem, failure in real time
Making smart and correct decisions
Reduce cost, time, and improve application product performance
Helps reduce file stacking
Data transfer speed is very influential in the process of sending data effectively and stably. This is the definition of big data in the following section:
Velocity
Volume
Value
Variety
Why is python programming widely used for application in the application of sience data?
Python is a structured and low-level programming language.
Because the Python Interface can be used with a series of functions but cannot develop various algorithms
Because the python programming language is open source
Because the script code is long compared to other programming languages
Types of data types in python programming, except:
Boolean
String
Numerik
Real
The types of data types that have two values, namely true and false, are:
Boolean
Numerik
Float
Integer
Python was created by...
Willian Tanuwijaya
Nadiem Makarim
Guido van Rossum
Steve Jobs
Some rules in python sintax writing, except:
Case sensitive
Not object-oriented
Human friendly
Not strict on data types
The format used for the final result of the business intelligence application process is in the form of .... except
dashboard
Interface
report
Graphs
One type of operator in python, is:
Logic operator
Statistical operators
Geometric operator
Computer operator
The operator of the python associated with binary numbers is called ....
Identity operator
Assignment operator
Comparison operator
Bitwise operator
the following picture is......
BI simulation process
BI planning steps
lBI process steps
BI implementation process
which is the responsibility and duty of a BI is.
improving accountability
Evaluate if needed
designing financial business management
create data analysis
When to use the Numerical Method?
When analytical calculations can be used
When analytical calculations cannot be used
When logical calculations can be used
When conceptual calculations can be used
The types of errors in numerical methods are, unless:
Built-in errors
Cutting error
Miscalculation
Rounding error
