Week 0 NPTEL Data Analytics with Python answers 2023

NPTEL Data Analytics with Python Week 0 | Assignment 0 Answers

Brief overview of NPTEL Data Analytics with Python course

The NPTEL Data Analytics with Python course is a free online course offered by the National Programme on Technology Enhanced Learning (NPTEL), a joint initiative of the Indian Institutes of Technology (IITs) and the Indian Institute of Science (IISc). The course is designed to provide a comprehensive introduction to the field of data analytics and its applications using the Python programming language. The course covers topics such as data exploration, visualization, and statistical analysis, as well as machine learning and big data. The course is intended for students, professionals, and anyone interested in learning about data analytics and its applications.

COURSE LEVEL

Undergraduate/Postgraduate

Assignment No.                                               Answers

Data Analytics with Python Assignment 1     Click Here

Data Analytics with Python Assignment 2  Click Here
Data Analytics with Python Assignment 3 Click Here
Data Analytics with Python Assignment 4 Click Here
Data Analytics with Python Assignment 5 Click Here
Data Analytics with Python Assignment 6 Click Here
Data Analytics with Python Assignment 7 Click Here

Data Analytics with Python Assignment 8 Click Here

NPTEL Data Analytics with Python Week 0 Assignment 0 Answers 2023

1.What are the key features of python language?

•  Object- oriented
•  Concise and simple
•  Both of the above
•  None of the above

Accepted Answers: Both of the above

2.State true or false

Statement: List in python is immutable but tupple is mutable

•  True
•  False

Accepted Answers: False

3.For getting 3rd, 4th & 6th row of a datafile “df”in Python programming, we can write:

•  df.loc[[2,3,5]] 
•  df.loc[[3,4,5]] 
•  df.iloc[3,4,6] 
•  None of the above 

Accepted Answers: df.loc[[2,3,5]] 

4.Bar Charts are used for :

•  Continuous data
•  Categorical data
•  Both (a) & (b) 
•  None of the above

Accepted Answers: Categorical data

COURSE LAYOUT

Week 1 : Introduction to data analytics and Python fundamentals
Week 2 : Introduction to probability
Week 3 : Sampling and sampling distributions
Week 4 : Hypothesis testing
Week 5 : Two sample testing and introduction to ANOVA
Week 6 : Two way ANOVA and linear regression
Week 7 : Linear regression and multiple regression
Week 8 : Concepts of MLE and Logistic regression
Week 9 : ROC and Regression Analysis Model Building
Week 10 : c2 Test and introduction to cluster analysis
Week 11 : Clustering analysis

Week 12 : Classification and Regression Trees (CART)

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course.

Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Disclaimer:

The answers provided in this blogpost are for reference only and should not be used as a substitute for your own research and understanding of the subject matter. The answers have been researched and compiled to the best of our knowledge, but we cannot guarantee their accuracy or completeness. We strongly advise that you use this information as a starting point for your own research and not as the sole basis for your work. Please use your own discretion and always consult your instructor or professor for guidance.