Python for Data Science

Indian Institute of Technology Madras and NPTEL via Swayam

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Details

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Provider

Swayam
Pricing

Free Online Course
Languages

English
Certificate

Paid Certificate Available
Duration & workload

4 weeks
Sessions

On-Demand
Level

Intermediate

Found in

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

Syllabus

Week 1:
•BASICS OF PYTHON SPYDER (TOOL)
• 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

NumPy
• ndArrayWeek 3:
•Pandas dataframe and dataframe related operations on Toyota Corolla dataset

Reading files
Exploratory data analysis
Data preparation and preprocessing

•Data visualization on Toyoto Corolla dataset using matplotlib and seaborn libraries

Scatter plot
Line plot
Bar plot
Histogram
Box plot
Pair plot

•Control structures using Toyota Corolla dataset

if-else family
for loop
for loop with if break
while loop

•Functions

Week 4:CASE STUDY
•Regression

Predicting price of pre-owned cars

•Classification

Classifying personal income

Taught by

Prof. Raghunathan Rengasamy

Reviews

4.5 rating, based on 44 Class Central reviews

Start your review of Python for Data Science

Anonymous

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 g…

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. The way of explanation of Numpy, Pandas are very very appreciable. As a Faculty with 17 years experience, I am very much impressed about their way of explanation of Numpy and Pandas. I used to listen in one window and practiced at the other window. It made me to impress about continuing the course without breaking.

Regression and Classification concepts were also explained well, we were able to complete the assignment problems without any difficulty because of hands-on experience with case studies. Because of this course I got solutions for few assignment problems in the course "Practical Machine Learning using Tensor Flow"

Really it's a very good course for beginners of Data Science. It would be more beneficial if it is 8-12 week course.

Non-proctored examination pattern was also very good. It made us to sit for whole 3 hours with a challenge to complete the exam.
Anonymous

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.
Anant Santosh Tak

Python is powerful for data science with libraries like NumPy, Pandas, and Matplotlib for analysis.
Python is powerful for data science with libraries like NumPy, Pandas, and Matplotlib for analysis.
Tanya Madaan
3

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 st…

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 are given few employment opportunities as well, after clearing the exam, atleast based on the merit.
This can help students move forward in the right direction. You can also suggest students to pursue and clear few more trainings and courses, if those are required for the employment opportunity, like MYSQL/ Database knowledge might be a requirement with Data Science.
Atleast students who are passionate and want to learn and move forward in the right direction, can be helped get the right job with the right set of skill sets.
A better counselling and right opportunities are always required with the education/ training.
Bapi Dhak

I recently completed the Python for Data Science course, and it has truly exceeded my expectations. The course is well-structured, starting from the basics of Python and gradually moving into libraries like NumPy, Pandas, and Matplotlib, making it b…

I recently completed the Python for Data Science course, and it has truly exceeded my expectations. The course is well-structured, starting from the basics of Python and gradually moving into libraries like NumPy, Pandas, and Matplotlib, making it beginner-friendly yet detailed enough for advanced learners. The practical examples and hands-on exercises helped me gain confidence in using Python for real-world data analysis. The instructors explained each concept clearly, and the additional resources provided were extremely helpful for revising. I now feel equipped to handle data cleaning, visualization, and basic machine learning workflows independently. This course has not only improved my Python skills but also strengthened my analytical thinking for approaching data-related problems. I highly recommend this course to anyone looking to start or grow their career in data science with Python. It is truly worth the time and investment if you are serious about learning Python for Data Science systematically and effectively.
Anonymous

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.
Muhammad Farooq

Wonderful course love it. Thanks to IIT madras. Comfortably now a python developer with the hands on knowledge of Data Science.
Anonymous
2

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.
Anonymous

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

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

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

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.
Megha
1

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.
Anonymous

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

very nice course in just 4 weeks. i like its non-proctored exam too, as it has considered a full application to cover all the contents covered in the course. it can be enhanced with more machine related contents and of 8 weeks.
Anonymous

The lecturer was pretty good in handling the course,overall it was a decent experience learning it,if you're someone who's looking forward to learn something related to python or data science this could be a perfect beginning to it.
Anonymous

A good python course for data science having guidance of how to train the model of classification and regression. They have well taught that how we can improve the data for training and remove the impurities from it.
Lakshmi Patibandla
1

This is the good course to learn datascience and python and it's applications. I have learnt all the regression techniques clearly.course is useful for students those who are searching for software jobs.
Anonymous

The course has fufilled my expectation as introductory knowledge of Python. I learnt this course basically for Astrophysics data analysis and found perfectly fit. I highly recommend this course for beginner.
Anonymous

This course is really nice . It includes all the basics of the language. Also there are case study included in this course which helps a lot to understand the concepts very well.