Data Science for Engineers

NPTEL Data Science for Engineers Assignment 1 Answer 2023

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NPTEL Data Science for Engineers Assignment 1 Answer 2023 – Here All The Questions and Answers Provided to Help All The Students and NPTEL Candidate as a Reference Purpose, It is Mandetory to Submit Your Weekly Assignment By Your Own Understand Level.

Are you looking for the Assignment Answers to NPTEL Data Science for Engineers Assignment 1 Answer 2023? If Yes You are in Our Great Place to Getting Your Solution, This Post Should be help you with the Assignment answer to the National Programme on Technology Enhanced Learning (NPTEL) Course “NPTEL Data Science for Engineers Assignment 1 Answer 2023”

NPTEL Data Science for Engineers Assignment

ABOUT THE COURSE :
Learning Objectives :
  1. Introduce R as a programming language
  2. Introduce the mathematical foundations required for data science
  3. Introduce the first level data science algorithms
  4. Introduce a data analytics problem solving framework
  5. Introduce a practical capstone case study
Learning Outcomes:
  1. Describe a flow process for data science problems (Remembering)
  2. Classify data science problems into standard typology (Comprehension)
  3. Develop R codes for data science solutions (Application)
  4. Correlate results to the solution approach followed (Analysis)
  5. Assess the solution approach (Evaluation)
  6. Construct use cases to validate approach and identify modifications required (Creating)
INTENDED AUDIENCE:  Any interested learner
PREREQUISITES:  10 hrs of pre-course material will be provided, learners need to practise this to be ready to take the course.
INDUSTRY SUPPORT:  HONEYWELL, ABB, FORD, GYAN DATA PVT. LTD.

Next Week Assignment Answers

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This course can have Associate in Nursing unproctored programming communication conjointly excluding the Proctored communication, please check announcement section for date and time. The programming communication can have a weightage of twenty fifth towards the ultimate score.

Final score = Assignment score + Unproctored programming exam score + Proctored Exam score
  • Assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
  • ( All assignments in a particular week will be counted towards final scoring – quizzes and programming assignments). 
  • Unproctored programming exam score = 25% of the average scores obtained as part of Unproctored programming exam – out of 100
  • Proctored Exam score =50% of the proctored certification exam score out of 100
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF ASSIGNMENT SCORE >=10/25 AND
UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50. 
If any one of the 3 criteria is not met, you will not be eligible for the certificate even if the Final score >= 40/100. 

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1 point
Which of the following variable names are INVALID in R?
 
 
 
 
Answer: A,C,D
1 point
The function ls() in R will
 
 
 
 

Answer: B

Consider a following code snippet. Based on this, answer questions 3 and 4.
1 point
Which of the following command is used to access the value “Shyam”?
 
 
 
 
Answer: C
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1 point
The output of the code given below is
 
 
 
 
Answer: B
1 point
What is the output of following code?
 
 
 
 
Answer: A
1 point
State whether the given statement is True or False.
The library reshape2 is based around two key functions named melt and cast
 
 
Answer: A
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1 point
What is the output of following code?
 
 
 
 

Answer: B

Create the data frame using the code given below and answer questions 8 and 9.

student data = data.frame(student id=c(1:4), student name=c(‘Ram’,‘Harish’,‘Pradeep’,‘Rajesh’))

1 point
Choose the correct command to add a column named student_dept to the dataframe student_data.
 
 
 
 
Answer: A
1 point
Choose the correct command to access the element Tamil in the dataframe student_data
 
 
 
 
Answer: C
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1 point
The command to check if a value is of numeric data type is _____.
 
 
 
 
Answer: B

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