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

Found in

Overview

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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

4.4 rating, based on 41 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.
Tanya Madaan

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.
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.
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

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

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

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

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.
Vinodhini G

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

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.
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 .
Megha

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 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.
Anonymous

Excellent course content and delivery. Too good to work with Python environment for the area of data science specialisation. Had a great time and enjoyed learning this course. Case study sessions at the end of week was too good to cope up with practical.
Anonymous

Really a very good course. If you follow bit by bit of the case study given in the video, will really help your confidence building. I will more happy if couple of more case studies can be included (may be not in video, but at least as attachment).
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

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

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.
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.