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RAYALASEEMA UNIVERSITY (UG), KURNOOL.
GROUP: III B.Sc (MPCS/MSCS)
(VI SEMESTER)
🙋♂️ Latest Update Join Telegram Group:
🎯 https://t.me/gvrjobs4u 🎯 https://t.me/Freejobs4us
SUBJECT: Foundations of Data Science (C 63118-A)
Question Paper-
March/April 2018.
Part –A (5*4=20M)
Answer any
FIVE of the following questions.
2) What
is NoSQL? Explain.
3) Explain about Logistic
Regression.
4) Explain about data frames in R Language.
5) Explain about Binomial distribution.
6) Explain about deployment.
7) What are matrix plots? Explain.
8) Explain about lists?
Part –B (5*10=50M)
Answer ALL the
following questions.
9)
a) Explain about roles and stages in data science project.
OR
b) Explain about exploring and managing
data.
10) a) Explain about Mapping problems to machine Learning.
OR
b)
Explain about Cluster Analysis.
11)
a) Explain about ordered and unordered
factors in R.
OR
b) Explain about matrices in R Language.
12) a) Explain about Poisson and normal distribution
OR
b) Explain about manipulating objects and data distribution.
13) a) Explain about graphical analysis.
OR
b) Explain about multiple plots in one window.
GROUP: III B.Sc (MPCS/MSCS)
(VI SEMESTER)
🙋♂️ Latest Update Join Telegram Group:
🎯 https://t.me/gvrjobs4u 🎯 https://t.me/Freejobs4us
SUBJECT: Foundations of Data Science (C 63118-A)
Question Paper-
March/April 2019.
Part –A (5*4=20M)
Answer any
FIVE of the following questions.
1) What is Data
cleaning?
2) What
is clustering?
3) What are R-factors?
4) Explain about R-Normal Distribution.
5) What is plots functions?
6) Explain in brief about NoSQL.
7) What is regression in machine learning?
8) Explain are R-lists?
Part –B (5*10=50M)
Answer ALL the
following questions.
9)
a) Explain about the different sampling
modeling techniques.
OR
b) Explain in detail about the working
with relational databases.
10) a) Write in detail about Linear and Logistic
regression.
OR
b)
Explain the K-means algorithm with a proper example.
11)
a) Explain about ordered and unordered
factors in R.
OR
b) Explain the different concepts of
arrays in R Language.
12) a) Explain in detail Poisson distribution
OR
b) Write about R-Binomial distribution.
13) a) What are the different graphical parameters
in R?
OR
b) What are the various types of graphs drawn using R.
RAYALASEEMA UNIVERSITY (UG), KURNOOL.
GROUP: III B.Sc (MPCS/MSCS)
(VI SEMESTER)
SUBJECT: Foundations of Data Science (C 63118-A)
Question Paper-
March/April 2020.
🎯 https://t.me/gvrjobs4u 🎯 https://t.me/Freejobs4us
Part –A (5*4=20M)
Answer any
FIVE of the following questions.
1) Explain the roles of
Data Science.
2) Explain
about Machine Learning.
3) Explain about Lists
in R Language.
4) Explain about Data Distribution.
5) What are matrix plots?
6) What are R-ordered factors?
7) Explain plot () function.
8) What are relational databases?
Part –B (5*10=50M)
Answer ALL the
following questions.
9)
a) Explain about Data Cleaning and Sampling.
OR
b) Explain about various stages in data
science project.
10) a) Explain about Data K-Means Algorithm with example.
OR
b)
Explain about evaluating clustering
models.
11)
a) Explain about matrices in R.
OR
b) Explain about reading data from files.
12) a) Explain about Poisson distribution.
OR
b) Explain about normal distribution.
13) a) Explain about displaying multi vitiate
data.
OR
b) Explain about different graphical parameters in R.
RAYALASEEMA UNIVERSITY (UG), KURNOOL.
GROUP: III B.Sc (MPCS/MSCS)
(VI SEMESTER)
🙋♂️ Latest Update Join Telegram Group:
🎯 https://t.me/gvrjobs4u 🎯 https://t.me/Freejobs4us
SUBJECT: Foundations of Data Science (C 63118-A)
Question Paper-
March/April 2018.
Part –A (5*4=20M)
Answer any
FIVE of the following questions.
2) What
is NoSQL? Explain.
3) Explain about Logistic
Regression.
4) Explain about data frames in R Language.
5) Explain about Binomial distribution.
6) Explain about deployment.
7) What are matrix plots? Explain.
8) Explain about lists?
Part –B (5*10=50M)
Answer ALL the
following questions.
9)
a) Explain about roles and stages in data science project.
OR
b) Explain about exploring and managing
data.
10) a) Explain about Mapping problems to machine Learning.
OR
b)
Explain about Cluster Analysis.
11)
a) Explain about ordered and unordered
factors in R.
OR
b) Explain about matrices in R Language.
12) a) Explain about Poisson and normal distribution
OR
b) Explain about manipulating objects and data distribution.
13) a) Explain about graphical analysis.
OR
b) Explain about multiple plots in one window.
GROUP: III B.Sc (MPCS/MSCS)
(VI SEMESTER)
🙋♂️ Latest Update Join Telegram Group:
🎯 https://t.me/gvrjobs4u 🎯 https://t.me/Freejobs4us
SUBJECT: Foundations of Data Science (C 63118-A)
Question Paper-
March/April 2019.
Part –A (5*4=20M)
Answer any
FIVE of the following questions.
1) What is Data
cleaning?
2) What
is clustering?
3) What are R-factors?
4) Explain about R-Normal Distribution.
5) What is plots functions?
6) Explain in brief about NoSQL.
7) What is regression in machine learning?
8) Explain are R-lists?
Part –B (5*10=50M)
Answer ALL the
following questions.
9)
a) Explain about the different sampling
modeling techniques.
OR
b) Explain in detail about the working
with relational databases.
10) a) Write in detail about Linear and Logistic
regression.
OR
b)
Explain the K-means algorithm with a proper example.
11)
a) Explain about ordered and unordered
factors in R.
OR
b) Explain the different concepts of
arrays in R Language.
12) a) Explain in detail Poisson distribution
OR
b) Write about R-Binomial distribution.
13) a) What are the different graphical parameters
in R?
OR
b) What are the various types of graphs drawn using R.
RAYALASEEMA UNIVERSITY (UG), KURNOOL.
GROUP: III B.Sc (MPCS/MSCS)
(VI SEMESTER)
SUBJECT: Foundations of Data Science (C 63118-A)
Question Paper-
March/April 2020.
🎯 https://t.me/gvrjobs4u 🎯 https://t.me/Freejobs4us
Part –A (5*4=20M)
Answer any
FIVE of the following questions.
1) Explain the roles of
Data Science.
2) Explain
about Machine Learning.
3) Explain about Lists
in R Language.
4) Explain about Data Distribution.
5) What are matrix plots?
6) What are R-ordered factors?
7) Explain plot () function.
8) What are relational databases?
Part –B (5*10=50M)
Answer ALL the
following questions.
9)
a) Explain about Data Cleaning and Sampling.
OR
b) Explain about various stages in data
science project.
10) a) Explain about Data K-Means Algorithm with example.
OR
b)
Explain about evaluating clustering
models.
11)
a) Explain about matrices in R.
OR
b) Explain about reading data from files.
12) a) Explain about Poisson distribution.
OR
b) Explain about normal distribution.
13) a) Explain about displaying multi vitiate
data.
OR
b) Explain about different graphical parameters in R.
