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Indian Institute of Technology Madras

Python for Data Science

Indian Institute of Technology Madras and NPTEL via Swayam


The course aims at equipping participants to be able to use python programming for solving data science problems.INTENDED AUDIENCE : Final Year UndergraduatesPRE-REQUISITES : Knowledge of basic data science algorithms


Week 1:
• Introduction Spyder• Setting working Directory• Creating and saving a script file• File execution, clearing console, removing variables from environment, clearing environment• Commenting script files• Variable creation• Arithmetic and logical operators• Data types and associated operations
Week 2:

Sequence data types and associated operations
• Strings
• Lists
• Arrays
• Tuples
• Dictionary
• Sets
• Range

• ndArrayWeek 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset
  1. Reading files
  2. Exploratory data analysis
  3. Data preparation and preprocessing
•Data visualization on Toyoto Corolla dataset using matplotlib and seaborn libraries
  1. Scatter plot
  2. Line plot
  3. Bar plot
  4. Histogram
  5. Box plot
  6. Pair plot
•Control structures using Toyota Corolla dataset
  1. if-else family
  2. for loop
  3. for loop with if break
  4. while loop

  1. Predicting price of pre-owned cars
  1. Classifying personal income

Taught by

Prof. Raghunathan Rengasamy

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4.4 rating, based on 42 reviews

Start your review of Python for Data Science

  • Anonymous

    Anonymous completed this course.

    Surely, I suggest this course for all Beginners of Data science . Really it is most useful course for learning how Python can be used for data science applications. The contents covered in these lectures and leading to exercise solutions are very good....
  • Anonymous

    Anonymous completed this course.

    It was fun doing a Data Science course in a few weeks time because of no lengthy lectures and more hands-on. I would say its perfect for someone who knows 10% of related technologies. For newbies, it could be fun finding new terms and learning technology like Python and ML.

    I would definitely recommend this course for someone wish to start the career in this domain and have no prior expertise or experience.
  • Profile image for Tanya Madaan
    Tanya Madaan

    Tanya Madaan completed this course.

    I loved the content of the course and the training. The trainers were also good, was easy to understand the concepts and a good practical examples as well. Just one thing that I wanted to put forward, if that can be done.... It would be great if students...
  • Anonymous

    Anonymous completed this course.

    appropriate syllabus for beginners. Good study material. Perfect delivery of video lessons. Explanation is good by all instructures. I learned so much about phython tools. I stood in top 5% in certification exam.
  • Profile image for Rambabu Varapula
    Rambabu Varapula
    iam interested data science and python programming language my usse life best subjects and data science mechin and programs and my use my life I am interested sir send me lesson every day class attempt
  • Profile image for Dinesh Zende
    Dinesh Zende

    Dinesh Zende completed this course, spending 6 hours a week on it and found the course difficulty to be medium.

    This course was very informative and helpful in learning the python language in the context of data science. This has given a new insight into the powers of python.
  • Anonymous

    Anonymous completed this course.

    For those who want to start their career in Data Science field this course is a good choice. Data science is vast field and this course is so well structured that it covers most of the topics in 4 week course. Online class was really good .Hands on exercise really helped a lot. Assignment section was really helpful to keep checking our learning.It would be more beneficial if this was more than 4 weeks course where more learning could happen in the field.
  • Anonymous

    Anonymous completed this course.

    Review of this Course :
    1. Content is Good and Clean and for beginners.
    2. if you have good knowledge in python 3 then you will be able to score understand easily.
    3. they will also provide soft copies of the content which will be helpful in quick recap or revision
    4. they will show the hands-on implementation which will be helpful.
  • Anonymous

    Anonymous completed this course.

    This is best course for the beginners who want to excel in Machine Learning. This course will start with the basics of python to level that is required for the Data Science .
    This is best course to excel your skills according to industry demand .The best part which I like was the expolatory data analysis.
  • Profile image for Megha Rajput
    Megha Rajput

    Megha Rajput is taking this course right now.

    The python for data science is a free online training for the engineering students. During the period of corona virus. This situation is very critical for college student. The study becomes destroy. This apportunity specially for
    those students who can't pay the online training fees.
  • Karthick Spk is taking this course right now, spending 4 hours a week on it and found the course difficulty to be medium.

    Fine course, well taught, up to point, taught by iit staff, highly recommend, exam available for Indian nationals, certification from nptel is well respected
  • Anonymous

    Anonymous completed this course.

    Good material to start with basics for Data analysis and visualization for an absolute beginner with understanding of required mathematics.
  • Anonymous

    Anonymous completed this course.

    Implementation was well explained.
    Overall the course is good.
    It would be better if the course is extended for few more weeks.
  • Anonymous

    Anonymous completed this course.

    This course is very useful for python and data science learners. Material is very informative and video lectures are given by scholars and professors too. It give more practical knowledge about using python for data analysis. Satisfied with this course and joined three new courses too. Thanks for providing so much deep learning about the python.
  • Anonymous

    Anonymous completed this course.

    Good course for beginners in ML. Practical Implementation is taught well. The proctored exam needs to be altered a bit, should be structured to gauge the understanding of the candidate rather than knowledge. Other than that, this is an awesome short term course. I still refer the videos to boost my understanding.
  • Anonymous

    Anonymous completed this course.

    This course was very good for me. I learned basic use of python and some project in data science.
    If this course cover all machine algorithm with implementation then it will be more beneficial for any of the students.
    Course duration should increase by algorithm of ml with implementation.
  • Anonymous

    Anonymous completed this course.

    The course "Python for Data Science " was extremely helpful. It gave us a thorough knowledge about using Python for Data Science. The video lectures were easy to understand and the assignments helped us to gauge our understanding. The course contained practical examples which helped us a lot.
  • Profile image for Vinodhini G
    Vinodhini G

    Vinodhini G completed this course.

    A perfect online guide for beginners in Python for Data Science. From Week 1 up to Week 4 , the entire course provided a gradual positive inclination in learners perspective. But felt that, the questions we faced in examination were a step ahead from what we learnt and solved in assignments.
  • Anonymous

    Anonymous completed this course.

    the course definitely covered the brief introduction to python for data science but lacked details there were 3 teaching assistants for the course of 4 weeks which were too much i recommend to consider some other course of particularly 8 or 12 weeks since to cover lot of details .
  • Anonymous

    Anonymous completed this course.

    The course is extremely well structured and balanced. Balanced mix of theory and practical. Suitable for both newcomers and senior practitioners of computer science and applications. All are recommended to take this course for smooth transition to Data Science career.

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