data analytics with python assignment 1

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Repository for the NPTEL course 'Data Analytics with Python'. Includes code examples, notebooks, and exercises covering data manipulation, visualization, statistics, and machine learning with Python libraries like NumPy, Pandas, and Matplotlib.

Yash-Kavaiya/data-analytics-with-python-nptel

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Course layout

Assignment solutions old course, youtube playlist.

https://youtu.be/cmRkGyrcsrI

Study Group :-

https://discord.gg/rNKDggem

Week-1 Introduction To Data Analytics And Python Fundamentals

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• Jupyter Notebook 100.0%

Data Analysis with Python: Zero to Pandas

"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

• Watch hands-on coding-focused video tutorials
• Practice coding with cloud Jupyter notebooks
• Build an end-to-end real-world course project
• Earn a verified certificate of accomplishment

There are no prerequisites for this course.

Lesson 1 - Introduction to Programming with Python Preview

• First steps with Python & Jupyter notebooks
• Arithmetic, conditional & logical operators in Python
• Quick tour with Variables and common data types

Lesson 2 - Next Steps with Python Preview

• Branching with if, elif, and else
• Iteration with while and for loops
• Write reusable code with Functions
• Scope of variables and exceptions

Assignment 1 - Python Basics Practice Preview

• Solve word problems using variables & arithmetic operations
• Manipulate data types using methods & operators
• Use branching and iterations to translate ideas into code
• Explore the documentation and get help from the community

Lesson 3 - Numerical Computing with Numpy

• Going from Python lists to Numpy arrays
• Working with multi-dimensional arrays
• Array operations, slicing and broadcasting
• Working with CSV data files

Assignment 2 - Numpy Array Operations

• Explore the Numpy documentation website
• Demonstrate usage 5 numpy array operations
• Publish a Jupyter notebook with explanations
• Share your work with the course community

Lesson 4 - Analyzing Tabular Data with Pandas

• Reading and writing CSV data with Pandas
• Querying, filtering and sorting data frames
• Grouping and aggregation for data summarization
• Merging and joining data from multiple sources

Assignment 3 - Pandas Practice

• Create data frames from CSV files
• Query and index operations on data frames
• Group, merge and aggregate data frames
• Fix missing and invalid values in data

Lesson 5 - Visualization with Matplotlib and Seaborn

• Basic visualizations with Matplotlib
• Advanced visualizations with Seaborn
• Tips for customizing and styling charts
• Plotting images and grids of charts

Course Project - Exploratory Data Analysis

• Find a real-world dataset of your choice online
• Use Numpy & Pandas to parse, clean & analyze data
• Use Matplotlib & Seaborn to create visualizations
• Ask and answer interesting questions about the data

Lesson 6 - Exploratory Data Analysis - A Case Study

• Finding a good real-world dataset for EDA
• Data loading, cleaning and preprocessing
• Exploratory analysis and visualization
• Answering questions and making inferences

Certificate of Accomplishment

Earn a verified certificate of accomplishment ( sample by completing all weekly assignments and the course project. The certificate can be added to your LinkedIn profile, linked from your Resume, and downloaded as a PDF.

Instructor - Aakash N S

Aakash N S is the co-founder and CEO of Jovian . Previously, Aakash has worked as a software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from the Indian Institute of Technology, Bombay. He’s also an avid blogger, open-source contributor, and online educator.

Course FAQs

If you have general questions about the course, please browse through this list first. Click/tap on a question to expand it and view the answer. If there’s something that’s not answered here, please reply to this topic with your question. For lecture & assignment related queries, please ask question on the respective threads.

Data Analysis with Python: Zero to Pandas is an online course intended to provide a coding-first introduction to data analysis.

The course takes a hands-on coding-focused approach and will be taught using live interactive Jupyter notebooks, allowing students to follow along and experiment. Theoretical concepts will be explained in simple terms using code. Participants will receive weekly assignments and work on a project with a real-world dataset to test their skills. Upon successful completion of the course, participants will receive a certificate of completion.

The following topics are covered:

• Python & Jupyter Fundamentals
• Numpy for data processing
• Pandas for working with tabular data
• Visualization with Matplotlib and Seaborn
• Exploratory Data Analysis: A Case Study

The course is called “Zero to Pandas” because it assumes no prior knowledge of Python (i.e. you can start from Zero), and by the end of the five weeks, you’ll be familiar with running data analysis with Python.

Access the Course Syllabus for more details.

This course runs for 6 weeks. You can enroll, watch the session recordings and submit the assignments and course project during this period. The submissions will be evaluated by us and you shall be provided with the certificate on successful completion of all assignments and project.

This is a beginner-friendly course, and no prior knowledge of Data Science or Python is assumed. You DON’T require a college degree (B.Tech, Masters, PhD etc.) to participate in this course.

You do need to have a computer (laptop/desktop) with a good internet connection to watch the video lectures, run the code online, and participate in the forum discussions.

To become eligible for a “Certificate of Completion”, you need to satisfy the all of following criteria:

• Make valid submissions for all 3 weekly assignments in the course (the course team will evaluate & accept/reject submission)
• Make a valid submission towards the course project
• Do not violate the Code of Conduct

More details regarding the assignments and the course project will be shared during the course. Please note that we reserve the right to withhold/cancel any participant’s certificate if we are not satisfied with the quality of their submissions or find them in violation of the Code of Conduct and Academic Honesty Policy .

The Certificate of Completion will be issued by Jovian . Please note that Jovian is not a registered educational institution, and this certificate will not count towards your higher education/college credits. The certificate simply indicates that you have completed all the required coursework for this course. Moreover, Jovian reserves the right to withhold/cancel any participant’s certificate if we are not satisfied with the quality of their submissions or find them in violation of the Code of Conduct.

Video lectures are available on the course page. Go to zerotopandas.com and open the particular lesson. You will find the video inside the lesson page.

No, you do not need to install any additional software on your computer to participate in this course. You just need a computer (laptop/desktop) with a working internet connection and a modern web browser (like Google Chrome or Firefox) to watch the lectures, participate in forum discussions, and complete the assignments.

You will be able to do all the assignments using free online computing platforms that you can access from your web browser. More details about these will be shared during the video lectures and on the individual assignment threads.

No, for this course you do not require any Graphical Processing Unit(GPU). If in case you require a GPU, you don't have to buy it. Online Platforms like Google Colab provides free access to GPUs for a limited amount of time every week. The free tier should be sufficient to fulfill all your requirements.

The lectures will be taught using Jupyter notebooks , an browser-based interactive programming environment. The lecture notebooks and assignements will be shared using Jovian , a platform for sharing Jupyter notebooks and data science projects. You will be able to run the shared Jupyter notebooks directly from Jovian.

The coursework should not take up more than 8-10 hours per week. If you’re able to do it in lesser time, that’s great.

In general, even if you’re a full-time student or working professional, you should be able to follow along and complete the coursework comfortably, if you remain motivated.

Sure, you can audit the course by just viewing the video lectures, but we highly recommend that you try out the assignments and put in the work required to earn a certificate. Doing the assignments will help you apply the concepts and get hands-on experience with data analysis. Interactive Juptyer notebooks are a great way to learn & experiment with the code, and we’ve put in a lot of effort to prepare these resources for you. We hope you will find it worthwhile to do the assignments & exercises.

No, there is no textbook for this course. This course is taught entirely using Jupyter notebook, which include a fair bit of explanation along with code, graphs, links to references etc. We will provide links to reading material, blog posts & other free resources online.

The instructor for this course is Aakash N S Aakash is the co-founder and CEO of Jovian, a platform to learn Data Science & Machine Learning. Jovian is also a project management and collaboration platform for Jupyter notebooks. Prior to starting Jovian, Aakash worked asa software engineer (APIs & Data Platforms) at Twitter in Ireland & San Francisco and graduated from IIT Bombay. He’s also a Competitions Expert on Kaggle, an avid blogger, open source contributor and online educator.

• Assignments will require completing tasks such as creating a Jovian notebook, writing a blog post etc.
• Assignment submission can be done on assignment page using the Jovian notebook link
• Some assignments are automated, which means they will be evaluated automatically. Few assignments will be evaluated by the course team.
• You will be graded as "PASS" or "FAIL" according to the assignment evaluation. If you get "FAIL" grade, you will get chance to work on the assignment again and resubmit it.

More details about the submission will be provided in the individual topics for each assignment.

Depending on the type of question, please choose one of the following:

If you have questions on any topic covered in a lecture/assignment, you can post them in the respective lessons' discusison page. Someone from the course team or the community will try to answer your question. Before asking, please scroll through the thread to check if your question has already been asked/answered.

If you have questions about the course itself, you can post your question on the discussion page of the course

• You can also ask your question in the zerotopandas channel of Jovian community slack group.

If you do not want to ask a question publicly or need more assistance, you can send an email to [email protected] , and someone from the course team will respond to you over email.

We recommend asking question on the discussion pages, since in many cases other members of the community will be able to answer questions faster than us, and your question will also be useful for others. Remember, no question to too simple to be asked.

Yes, please spread the word and invite your friends to join in.

We expect all participants to follow the Code of Conduct , and we take harassment and abuse very seriously. Please reach out to us at [email protected] if you are a victim of harassment/abuse by another user, and we’ll investigate the matter and take strict action immediately. Once verified, we will remove the participant from the course, and for more serious matters, report it to relevant authorities.

Assignment 1 - Python Basics Practice

Data analysis with python: zero to pandas.

In this assignment, you'll get to apply and practice the following concepts covered during the first lesson :

• Solve word problems using variables & arithmetic operations
• Manipulate data types using methods & operators
• Use branching and iterations to translate ideas into code
• Explore the documentation and get help from the community

[Week 1] NPTEL Data Analytics with Python Assignment 1 Answers 2023

NPTEL Data Analytics with Python Assignment 1 Answers 202 3 :- Hello students in this article we are going to share Answers of NPTEL Data Analytics with Python Assignment 1 2023. All the Answers are provided below to help the students as a reference, You must submit your assignment with your own knowledge.

Nptel Data Analytics With Python Assignment 1 Answers 2023

1. Statement: Descriptive Analytics, is the conventional form of Business Intelligence and data analysis. a. True b. False

2. Which of the following is not an example of predictive analytics? a. Linear regression b. Time series analysis and forecasting c. Bar Graphs d. Data mining

Answers will be Uploaded Shortly and it will be Notified on Telegram, So  JOIN NOW

3. State true or False: Statement: Data can be numerical and categorical but cannot be continuous or discrete . a. True b. False

4. Which of the following is not an example of Ratio Data? a. Height b. Year c. Age d. Weight

5. Which of the following is a command to have a message appear on the screen? a. print b. Input c. Write d. Msg

6. What is the output from this print() function call: print( ‘$100 $200 $300’.count(‘$’), ‘$100 $200 $300’.count(‘$’, 5, 10), ‘$100 $200 $300’.count(‘$’, 5) ). a. 3 1 0 b. 3 1 1 c. 3 1 2 d. 3 1 3

👇 For Week 04 Assignment Answers 👇

7. Median is not applicable to  a. Ordinal b. Interval c. Nominal d. None of the above 

8. State True or false: Statement: data can be generated by machines but not by humans. a. True b. False

9. Which one of the following is not a classification of Data Analytics? a. Diagnostic analytics b. Deceptive analytics c. Predictive analytics d. Prescriptive analytics

10. For getting 2nd, 4th & 7th row of a datafile “df”in Python programming, we can write:   a. df.loc[[2,3,5]]   b. df.loc[[1,3,6]]   c. df.iloc[2,4,7]   d. None of the above  

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NPTEL Data Analytics with Python Assignment 1 Answers 2022:- All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.

What is Data Analytics with Python?

Data Analytics with Python is a fun-filled whirlwind tour of 30 hrs, covering everything you need to know to fall in love with the most sought after skoll of the 21st century. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their careers and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course

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.

NPTEL Data Analytics with Python Assignment 1 Answers 2022

Q1. State True or false: Statement: Data can be generated by machines but not by humans. 

Answer:- False

Q2. Which one of the following is not a classification of Data Analytics? 

• Diagnostic analytics 
• Deceptive analytics 
• Predictive analytics 
• Prescriptive analytics

Answer:- Deceptive analytics

Q3. State True or false: Statement: Nominal scale is the lowest level of measurement and ratio scale is the highest level of measurement. 

Answer:- True

Q4. Consider the following statements-  Statement A : With iloc, we can pass in the negative value.  Statement B : With loc, we can pass in the negative value.  

• A and B are correct  
• Both are false  
• A is correct B is false 
• B is correct A is false 

Answer:- A is correct B is false

Q5. For getting 4rd, 5th and 7th row of a datafile “df”in Python programming, we can write: 

• df.loc[[3,4,6]]   
• df.loc[[4,5,7]] 
• df.iloc[3,4,6] 
• None of these

Answer:- None of these

Q6. Which of the following is not a measure of dispersion? 

• Kurtosis 
• Range 

Answer:- percentile

Q7. State the following true or false? Statement: Bimodal Data sets contains two modes. 

• True  

Q8. Bar Charts are used for : 

• Continuous data 
• Categorical data  
• Both of these 

Answer:- For Answer Click Here

Q9. Median is not applicable to: 

• Ordinal data 
• Interval data  
• Nominal data 

Answer:-Nominal data

Q10. State true or false: Statement: Arithmetic mean is not applicable for ordinal or nominal data 

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

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Data Analytics with Python | NPTEL | Week 1 Assignment Solutions

This set of MCQ(multiple choice questions) focuses on the  Data Analytics with Python NPTEL Week 1 Assignment Solutions .

You should practice these questions to improve fundamentals of Data Analytics with Python needed for various interviews (like company interview, campus interview, walk-in interview), entrance exams, placements and other competitive exams. All the questions in this particular section are based on only “ Data Analytics with Python NPTEL Week 1 Assignment Solutions “.

Course layout

Week 1 : Basics of Python Spyder 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 : c 2  Test and introduction to cluster analysis Week 11 : Clustering analysis Week 12 : Classification and Regression Trees (CART)

NOTE:  You can check your answer immediately by clicking show answer button. Moreover, this set of “Data Analytics with Python NPTEL Week 1 Assignment Solution” contains 10 questions.

Now, start attempting the quiz.

Data Analytics with Python NPTEL Week 1 Assignment Solutions

Q1. Statement: Descriptive Analytics, is the conventional form of Business Intelligence and data analysis.

a) True b) False

Answer: True

Q2. Which of the following is not an example of predictive analytics?

a)  Linear regression b) Time series analysis and forecasting c) Bar Graphs d) Data mining

Answer: Bar Graphs

Q3. State true or False: Statement: Data can be numerical and categorical but cannot be continuous or discrete

Answer: False

Q4. Which of the following is not an example of Ratio Data?

a) Height b) Year c) Age d) Weight

Answer: Year

Q5. Which of the following is a command to have a message appear on the screen?

a) print b) Input c) Write d) Msg

Answer: print

Q6. What is the output from this print() function call: print( ‘$100 $200 $300’.count(‘$’), ‘$100 $200 $300’.count(‘$’, 5, 10), ‘$100 $200 $300’.count(‘$’, 5) )

a) 3 1 0 b) 3 1 1 c) 3 1 2 d) 3 1 3

Answer: 3 1 0

Q7. Median is not applicable to 

a) Ordinal b) Interval c) Nominal d) None of the above 

Answer: Nominal

Q8. State True or false: Statement: data can be generated by machines but not by humans.

Q9. Which one of the following is not a classification of Data Analytics?

a) Diagnostic analytics b) Deceptive analytics c) Predictive analytics d) Prescriptive analytics

Answer: Deceptive analytics

Q10. For getting 2nd, 4th & 7th row of a datafile “df”in Python programming, we can write:  

a) df.loc[[2,3,5]]  b) df.loc[[1,3,6]] c) df.iloc[2,4,7]  d) None of the above  

Answer: None of the above

Previous Year Data Analytics with Python NPTEL Week 1 Assignment Solutions

Q1. State True or false: Statement: Data can be generated by machines but not by humans.

Answer: b) False

Q2. Which one of the following is not a classification of Data Analytics?

Answer: b) Deceptive analytics

Q3. State True of false: Statement: Nominal scale is the lowest level of measurement and ratio scale is the highest level of measurement.

Answer: a) True

Q4. Consider the following statements – Statement A: With iloc, we can pass in the negative value. Statement B: With loc, we can pass in the negative value.

a) A and B are correct b) Both are false c) A is correct B is false d) B is correct A is false

Answer: c) A is correct B is false

Q5. For getting 4th, 5th and 7th row of a datafile “df” in Python programming, we can write:

a) df.loc[[3,4,6]] b) df.loc[[4,5,,7]] c) df.iloc[3,4,6] d) None of these

Answer: a) df.loc[[3,4,6]]

Q6. Which of the following is not a measure of dispersion?

a) Skewness b) Kurtosis c) Range d) percentile

Answer: d) percentile

Q7. State the following true or false? Statement: Bimodal Data sets contains two modes.

Q8. Bar Charts are used for:

a) Continuous data b) Categorical data c) Both of these d) None of these

Answer: b) Categorical data

Q9. Median is not applicable to:

a) Ordinal data b) Interval data c) Nominal data d) None of these

Answer: c) Nominal data

Q10. State true or false: Statement: Arithmetic mean is not applicable for ordinal or nominal data

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Course Name: Data Analytics with Python

• About Course

Course abstract

We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!

Course Instructor

Prof. A. Ramesh

Teaching assistant(s),  course duration : jan-apr 2022,   view course,  syllabus,  enrollment : 14-nov-2021 to 31-jan-2022,  exam registration : 13-dec-2021 to 18-mar-2022,  exam date : 23-apr-2022.

Will be announced

Certificate Eligible

Certified category count, successfully completed, participation.

Category : Successfully Completed

Category : Elite

Category : Gold

Final score calculation logic, enrollment statistics, total enrollment: 40485, assignment statistics, score distribution graph - legend, assignment score: distribution of average scores garnered by students per assignment., exam score : distribution of the final exam score of students., final score : distribution of the combined score of assignments and final exam, based on the score logic..

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Thank you for learning with NPTEL!!

Dear Learner, Thank you for taking the course with NPTEL!! Hope you enjoyed the journey with us. The results for this course have been published and we are closing this course now.  You will still have access to the contents and assignments of this course, if you click on the course name from the "Mycourses" tab on swayam.gov.in. For any further queries please write to [email protected] . - Team NPTEL

Data Analytics with Python : Feedback form for PMRF live sessions!

Dear Learner, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. Every week there was a live interactive session for problem solving in your course. In this regard, we would like to have feedback from you regarding the live sessions and whether there are any improvements, you would like to suggest. Form Link : https://docs.google.com/forms/d/e/1FAIpQLSfso8dVKjZUXnrfveCUKf1-KYfRPJIQqrBn1kvppdtkIN0ASw/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

Data Analytics with Python : Result Published!

Dear Candidate, The exam scores and E Certificates have been released for April 2022 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- April 2022 Exam - Click here Step 2 - How to check Results? Please login to internalapp.nptel.ac.in/ . and check your exam results. Use the same login credentials as used to register to the exam. What's next? Please read the pass criteria carefully and check against what you have gotten. If you still have any issues, please report the same here. internalapp.nptel.ac.in/ . We will reply within a week. Last date to report queries: 3 days within publishing of scores. Note : Hard copies of certificates will not be dispatched. The duration shown in the certificate will be based on the timeline of offering of the course in 2022, irrespective of which Assignment score that will be considered. Thanks and Best wishes. NPTEL Team

Data Analytics with Python : Final Feedback Form

Dear student, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is: https://docs.google.com/forms/d/1JNatHWBF8NTXTr_KfzGxBU3eBz6tKYul0vGvWBqYYk4/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

NPTEL April Exams

Dear Leaner,

_NPTEL Team

Hall Tickets for April Exams are released !

• If there are any mistakes in the hall ticket such as another person's photo/sign/name, please fill the following Google form & mark the corrections.
• GForm Link -  https://forms.gle/aqeMCN15MpnTQPpV9 (Deadline - April 22, 2022 at 11.00 AM)
• These corrections will be reflected in your e-certificate only.
• No changes will be made in the hall ticket.
• We will check and verify the same and send an email confirmation.
• You will still be allowed to write the exam. We will NOT make any changes in the hall ticket issued to you. Please come to the exam centre with the printout of the same hall ticket, along with a valid govt. approved photo id card.
•  If the photo/sign/name is yours, we WILL NOT upload any updated photo/sign, etc.
•  Requests for changes in exam city, exam center, session, or course will NOT be entertained.

Week 11 Feedback : Data Analytics with Python !

Data analytics with python : week-12 content is live now .

-NPTEL Team

Data Analytics with Python : Week-11 content is live now !

Week 10 feedback : data analytics with python .

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form :   https://docs.google.com/forms/d/e/1FAIpQLScjevMrnKeOdK_WDoxZx3UiQlUAklu9jYM8wL2oIeW2LStB3g/viewform You can also download the lecture videos from given link  :   https://nptel.ac.in/courses/106107220/ Thank you. TEAM NPTEL

Data Analytic with Python: Week 6 Assignment solution released!

Dear Learners, The solution of Assignment 6 has been uploaded. The solution can be downloaded from portal under the week 6 unit, with name Solution for Week 6. You can also use the following link to download the solution for assignment 6: https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=55&lesson=150 You can cross check your solutions and answers. In case of any doubts, feel free to ask. Best Wishes

Exam Format - April 23, 2022

Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person.  You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released . We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam  (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. -NPTEL Team

Week 9 Feedback : Data Analytics with Python !

Data analytics with python : week-10 content is live now , data analytics with python : week-9 content is live now , week 8 feedback : data analytics with python , data analytics with python : reminder : nptel - live interactive session with course support team - book your slots now.

Dear Learner, Here is a unique opportunity for you to learn to solve problems with the help of instructors. Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved -  that will help you solve the weekly assignments. Please refer to this  link  for the list of courses available and select the courses for which you wish to attend the live interactive session in this form:  https://forms.gle/ jpQMSJ3wNWt8AGmCA Once you submit this form, you will receive a meeting link to attend the session.  Requesting you to join these sessions using your enrolled email ID only else you will not be admitted to the sessions and you have to watch only the recorded sessions. Deadline to fill out this form: March 20, 2022 Session Timings: The Live interactive sessions are planned for Fri, Sat, Sun, Mon & Tues Mon, Tues, Fri - 6 pm to 8 pm Sat+Sun - 3pm to 8pm Live sessions for each course will be of approx 1-hour duration and it will be conducted during the same time each week. This way, watching the sessions can be planned ahead of time. Note: Posting abusive/unacceptable messages in the chat window and sharing unacceptable videos will not be tolerated. Such occurrences will be reported to the cyber police. Requesting all to refrain from such activities. Thank You, NPTEL Team

Week 7 Feedback : Data Analytics with Python !

Data analytics with python: week 5 - assignment 5 solution has been released.

Dear Learners, The solution of Assignment 5 has been uploaded. The solution can be downloaded from portal under the week 5 unit, with name Solution for Week 5. You can also use the following link to download the solution for assignment 5: https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=47&lesson=147 You can cross check your solutions and answers. In case of any doubts, feel free to ask. Best Wishes

Data Analytics with Python : Week-8 content is live now !

Data analytics with python : nptel - live interactive session with course support team - book your slots now, data analytics with python: week 4 - assignment 4 solution has been released.

Dear Learners, The solution of Assignment 4 has been uploaded. The solution can be downloaded from portal under the week 4 unit, with name Solution for Week 4. You can also use the following link to download the solution for assignment 4: https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=39&lesson=146 You can cross check your solutions and answers. In case of any doubts, feel free to ask. Best Wishes

Data Analytics with Python-Live interactive session: Learn to solve sample problems

Dear learner, We are attempting something new this time to see if we can reach out to the learners better in this course. There will be a live interactive session where a Course team member will explain some sample problems,  how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date:Saturday Time:5 PM - 6 PM Link to join:  https://meet.google.com/jgx-diuy-hsw -NPTEL Team

Week 6 Feedback : Data Analytics with Python !

Data analytics with python : week-7 content is live now , data analytics with python - live interaction session - learn to solve sample problems.

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Learn to solve sample problems of Week 5 . Videos are uploaded inside the Separate Unit called " Live sessions - Solve sample problems with us " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Week 5 Feedback : Data Analytics with Python !

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form :   https://docs.google.com/forms/d/e/1FAIpQLScjevMrnKeOdK_WDoxZx3UiQlUAklu9jYM8wL2oIeW2LStB3g/viewform You can also download the lecture videos from given link  :   https://nptel.ac.in/courses/106/107/106107220/ Thank you. TEAM NPTEL

Data Analytics with Python : Week-6 content is live now !

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Learn to solve sample problems of Week 4 . Videos are uploaded inside the Separate Unit called " Live sessions - Solve sample problems with us " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Data Analytics with Python: Week 3 Assignment solution has been released!

Dear Learner, The solution of Assignment 3 has been uploaded. solution can be downloaded from the portal under the Week 3 unit with name Solution for week 3: https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=32&lesson=136 you can cross check your solution and answers. If you have any query regarding the solution, feel free to ask. Best wishes

Data Analytics with Python: Week 2 assignment solution released!

Dear Learner, The solution of Assignment 2 has been uploaded. solution can be downloaded from the portal under the Week 2 unit with name Assignment solution week 2 : https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=25&lesson=135 you can cross check your solution and answers. If you have any query regarding the solution, feel free to ask. Best wishes

Data Analytics with python: Week 1 assignment solution has been released!

Dear Learner, The solution of Assignment 1 has been uploaded. solution can be downloaded from the portal under the Week 1 unit with name Solution for week 1: https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=17&lesson=134 you can cross check your solution and answers. If you have any query regarding the solution, feel free to ask. Best wishes

Data Analytics with Python : Week-5 content is live now !

Week 4 feedback : data analytics with python , week 3 feedback : data analytics with python .

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Learn to solve sample problems of Week 3 . Videos are uploaded inside the Separate Unit called " Live sessions - Solve sample problems with us " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Data Analytics with Python : Week-4 content is live now !

Weekly feedback : data analytics with python , assignments for week 1 & 2 due on feb 9 2022 .

Dear Learner, Assignments for Week 1 & 2 are open for submission .The last date for submission is Feb 9 2022 IST 23:59 . If you have not submitted the assignments ,kindly submit the same before the due date. -NPTEL Team.

Data Analytics with Python : Week-3 content is live now !

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Learn to solve sample problems of Week 2 . Videos are uploaded inside the Separate Unit called " Live sessions - Solve sample problems with us " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Dear Learner, We have uploaded the Recorded videos of the Live Interaction Session - Learn to solve sample problems of Week 1 . Videos are uploaded inside the Separate Unit called " Live sessions - Solve sample problems with us " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form :   https://docs.google.com/forms/d/e/1FAIpQLScjevMrnKeOdK_WDoxZx3UiQlUAklu9jYM8wL2oIeW2LStB3g/viewform You can also download the lecture videos from given link :   https://nptel.ac.in/courses/106/107/106107220/ Thank you. TEAM NPTEL

Live interactive session: Learn to solve sample problems

Dear learner, We are attempting something new this time to see if we can reach out to the learners better in this course. There will be a live interactive session where a Course team member will explain some sample problems, how they are solved -  that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: Saturday Time: 5 PM - 6 PM Link to join: https://meet.google.com/jgx-diuy-hsw -NPTEL Team

Data Analytics with Python : Week-2 content is live now !

Dear learners, We are attempting something new this time to see if we can reach out to the learners better in this course. Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved -  that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. When: Every Saturday Time: 5 PM - 6 PM Link to join:  https://meet.google.com/jgx-diuy-hsw -NPTEL Team

Attention: Regarding the Social media Groups

Dear Learners, The discussion forum, which is embedded on the course portal,  is the only authentic medium to communicate regarding this course . This Forum is monitored by the Faculty coordinator and team and on which we will respond. NPTEL is NOT responsible for any whatsapp group or any other group created in any social media platform.  Request the learners to refrain from sharing phone numbers and other details which may be misused as this is a public group and this information is available to all members in this group. This kind of activity is strictly prohibited and NPTEL will not be responsible for misuse of any such information. All the best, Happy Learning! -NPTEL Team

Data Analytics with Python : Week 1 assignment released !

Data analytics with python - week-1 lecture videos live now .

Dear Learners, The lecture videos for Week 1 have been uploaded for the course "Data Analytics with Python". The lectures can be accessed using the following link: Link: https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=17&lesson=18 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). As we have done so far, please use the discussion forums if you have any questions on this module. Thanks and Regards, -NPTEL Team

NPTEL: Exam Registration is open now for Jan 2022 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the Jan 2022 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: April 23, 2022

CLICK HERE to register for the exam.

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees: 

If you register for the exam and pay before March 14, 2022, 10:00 AM, Exam fees will be Rs. 1000/- per exam . 

If you register for exam before March 14, 2022, 10:00 AM and have not paid or if you register between March 14, 2022, 10:00 AM & March 18, 2022, 10:00 AM, Exam fees will be Rs. 1500/- per exam 

5. 50% fee waiver for the following categories: 

Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.

Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

6. Last date for exam registration: March 18, 2022 10:00 AM (Friday). 

7. Mode of payment: Online payment - debit card/credit card/net banking. 

8. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published. 

9. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

10. Data changes: 

Last date for data changes: March 18, 2022 10:00 AM :  

All the fields in the Exam form except for the following ones can be changed until the form closes. 

The following 6 fields can be changed ONLY when there are NO courses in the course cart. And you will be able to edit the following fields only if you: - 

REMOVE unpaid courses from the cart And/or - CANCEL paid courses 

1. Do you come under the SC/ST category? * 

2. SC/ST Proof 

3. Are you a person with disabilities? * 

4. Are you a person with disabilities above 40%? 

5. Disabilities Proof 

6. What is your role ? 

Note: Once you remove or cancel a course, you will be able to edit these fields immediately. 

But, for cancelled courses, refund of fees will be initiated only after 2 weeks. 

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: March 18, 2022 10:00 AM  

12. Click here to view Timeline and Guideline : Guideline  

Domain Certification

Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/noc/Domain/discipline.html

Thanks & Regards, 

Data Analytics with Python : Assignment 0 released only for practice purpose !!

Dear Students, We are welcome you all to the course " Data Analytics with Python "  The Assignment 0 has been released which is only for your practice purpose, the marks obtained in this assignment will not be considered in the final assessment Score. You can find the assignment in the "Week 0" tab on the left-hand side of your screen OR Click on Below Link  Assignment URL:  https://onlinecourses.nptel.ac.in/noc22_cs08/unit?unit=16&assessment=118 For any queries/doubts please feel free write to us on "Ask a Question" tab. Thanks and Regards TEAM NPTEL

Data Analytics with Python: Welcome to NPTEL Online Course - Jan 2022!!

• Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
• Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
• The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
• The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
• Please make maximum use of this feature as this will help you learn much better.
• If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
• The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
• Date and Time of Exams: April 23, 2022 Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
• Registration URL: Announcements will be made when the registration form is open for registrations.
• The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
• Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
• Once again, thanks for your interest in our online courses and certification. Happy learning.

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[Week 1] NPTEL Data Analytics with Python Assignment Answers 2024

Table of Contents

NPTEL Data Analytics with Python Week 1 Assignment Answers 2024

1. Which of the following is never possible for variance?

• Zero variance
• larger than the standard deviation
• Negative variance
• smaller than the standard deviation

def m(data)

        Diff = max(data) – min(data)

         return(Diff)

The above defined data function in Python programming, will calculate the?

• Inter quartile range

3. Bar Charts are used for :

• Continuous data
• Categorical data
• both a. and b.
• None of these

4. Frequency polygons are used for:

• None of the above

5. m is an example of which of the following?

• A population parameter
• sample statistic
• population variance

6. Consider the following statements- 

Statement A : To “flatten” the dataframe, you can use the reset_index(). 

Statement B : Use the nunique() to get counts of unique values on a Pandas Series. 

• Both statements are correct
• Both statements are false
• A is correct, B is false
• B is correct, A is false

7. Which of the following statements in context of drawing an excellent graph is false:

• The graph should not contain unnecessary adornments (sometimes referred to as chart junk)
• The scale on the vertical axis should begin at zero
• All axes should not be properly labelled
• The graph should contain a title

8. Which of the following is not a measure of dispersion?

9. Assume, you are given two lists:

    a = [1,2,3,4,5]

    b = [6,7,8,9]

The task is to create a list which has all the elements of a and b in one dimension.

    Output:

     a = [1,2,3,4,5,6,7,8,9]

Which of the following option would you choose?

• a.append(b)
• a.extend(b)
• Any of the above

10. State the following true or false?

Statement: Bimodal Data sets contains more than two modes

NPTEL Data Analytics with Python Week 0 Assignment Answers 2024

1. What are the key features of python language?

• Object- oriented
• Concise and simple
• Both of the above

2. State true or false Statement: List in python is immutable but tupple is mutable

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 

4. Bar Charts are used for :

• Both (a) & (b)
•  None of the above

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