Python basics for data science edx answer 2022

TOP REVIEWS FROM PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT

by WLMar 13, 2019

Every course has offered something interesting, challenging, and surprising. I am glad I have spent the time with this class. I would strongly recommend it to others with an interest in data science.

by PKSep 23, 2019

it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.

by PASep 8, 2021

A nice introduction to Python! I would have liked assignments that were a little more in-depth, but other than that the course content was well laid out, easy to understand, and a solid foundation.

by RTAug 19, 2019

-Good Course for basics of python and intro to Pandas and Numpy

-More exercises related to Pandas and Numpy would be good for practice.

-The course isn't updated with the latest UI of IBM Watson

View all reviews

Are you looking for the Answers to NPTEL Python for Data Science Online Programming test? This article will help you with the answer to the National Programme on Technology Enhanced Learning (NPTEL) Course “ NPTEL Python for Data Science Online Programming test

While hard skills teach us what to do, soft skills tell us how to apply our hard skills in a social environment. The focus of the course is to develop a wide variety of soft skills starting from communication, to working in different environments, developing emotional sensitivity, learning creative and critical decision making, developing awareness of how to work with and negotiate with people and to resolve stress and conflict in ourselves and others. 
The uniqueness of the course lies in how a wide range of relevant issues are raised, relevant skills discussed and tips for integration provided in order to make us effective in workplace and social environments.

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

Python basics for data science edx answer 2022

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.

Below you can find the answers for Python for Data Science Online Programming test

Python for Data Science Online Programming test Answers:-

Q1. The total number of missing values in the dataframe are:

Answer:- c

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Q2. The total number of duplicated values in the dataframe are:

Answer:- a

Q3. What is the shape of the data after dropping the feature “Unnamed: 0”, missing values and duplicated values?

Answer:- b

Q4. What is the average age of the clients those who have subscribed to deposit?

Answer:- d

Q5. What is the maximum number of contacts performed during the campaign for the clients who have not subscribed to deposit?

Answer:- a

Q6. What is the difference between the maximum balance (in euros) for the clients who have subscribed to deposit and for the clients who have not subscribed to the deposit?

Answer:- c

Q7. What is the count of unique job levels in the data and find out how many clients are in the management level?

Answer:- d

Q8.What is the percentage split of the categories in the column “deposit”?

Answer:- a

Q9.Generate a scatter plot of “age” vs “balance” and choose which of the following interpretation is correct?

Answer:-c

Q10.How many unemployed clients have subscribed to deposit?

Answer:-d

Q11.The command used to convert the categorical variables to indicator variables is: –

Answer:- b

Q12. The code below is used to get a list of unique column names excluding ‘deposit’ column. Fill in the blanks in the order of the blanks (1st blank, 2nd blank) with appropriate data types as given in the options

Answer:-d

Q13. The command to predict the logistic regression model ‘model’ on test dataset (test) is: –

Answer:-c

Q14. What is the value of accuracy of the model on the test dataset? (Choose the appropriate range)

Answer:-c

Q15. What is the value of accuracy of the model on the test dataset? (Choose the appropriate range)

Answer:-c

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NPTEL Python for Data Science Online Programming test Answers 2022:- All the Answers provided here to help the students as a reference, You must submit your assignment at your own knowledge.

Is basics of Python enough for data science?

Python is open source, interpreted, high level language and provides great approach for object-oriented programming. It is one of the best language used by data scientist for various data science projects/application. Python provide great functionality to deal with mathematics, statistics and scientific function.

Which Python course is best in EdX?

The Best Python Courses on edX.
Python Basics for Data Science. ... .
Programming for Everybody (Getting Started with Python) ... .
Computing in Python I: Fundamentals and Procedural Programming. ... .
Using Python for Research. ... .
Analyzing Data with Python. ... .
Machine Learning with Python: A Practical Introduction. ... .
Scripting with Python..

Is EdX Python course good?

EdX Python courses are very good. The courses on the platform can either be taken for free through the audit path or at an affordable price through the paid path. The courses are taught by partner universities, so students who take them will have an experience akin to a live university class.

What is the fastest way to learn Python for data science?

How to Learn Python for Data Science.
Step 1: Learn Python fundamentals. Everyone starts somewhere. ... .
Step 2: Practice with hands-on learning. ... .
Step 3: Learn Python data science libraries. ... .
Step 4: Build a data science portfolio as you learn Python. ... .
Step 5: Apply advanced data science techniques..