Data Science With Python | Python for Data Science | Python Data Science Tutorial | Simplilearn

This Data Science with Python Tutorial will help you understand what is Data Science, basics of Python for data analysis, why learn Python, how to install Python, Python libraries for data analysis, exploratory analysis using Pandas, introduction to series and dataframe, loan prediction problem, data wrangling using Pandas, building a predictive model using Scikit-Learn and implementing logistic regression model using Python. The aim of this video is to provide a comprehensive knowledge to beginners who are new to Python for data analysis. This video provides a comprehensive overview of basic concepts that you need to learn to use Python for data analysis. Now, let us understand how Python is used in Data Science for data analysis.

This Data Science with Python tutorial will cover the following topics:
00:01:25 What is Data Science?
00:02:30 Why learn Python?
00:04:54 How to install Python?
00:06:48 Python libraries for data analysis
00:09:34 Exploratory analysis using SciPy
00:10:04 Exploratory analysis using NumPy
00:10:36 Exploratory analysis using Pandas
00:21:32 Data Wrangling Using Pands
00:30:22 Data Modelling with SciKiLearn
Introduction to series and dataframe
00:47:33 Loan prediction problem

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Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Also, if you would like to have the dataset for implementing the use case shown in the video, please comment below and we will get back to you.
Thanks for watching the video. Cheers!

[JaLikon]

This was awesome! Everyone always talks about how neat data science is, and how easy it is to do in Python, but nobody ever actually SHOWS some data science being done in a video. Really cool, I learned a lot, thanks!

[NephilimShroud]

Amazing video. Whoever this person is, absolutely excellent quality of teaching and knowledge. Thank you so much!!!

[Arthur-fzdw]

Best short tutorial on Python/Machine learning I've found!

[ayobamiakiode]

I usually do not comments to YouTube Videos. I had to with this one because it is too good to be true in terms of precision of delivery. I have looked at many YouTube videos with the aim of understanding the fundamentals of python application in data science, most end up confusing me more than initial. This is the greatest video ever; the simplicity and essential details is top-notch. Thank you Simplilearn, you are simply the greatest! Please, I am having problem getting to other related Videos, especially those focusing solely on machine learning, as you stated in the video; please kindly share links. Thank you and regards.

[iusjwdi]

Simple, clear, straight forward, no irelevant trash talking. Liked and subscribed. Hope you have a good day.

[CyclingEveryday]

Excellent. !! Never seen such a clear, crisp training content. Easy to understand examples

[Shaq]

Excellent introduction. Thank you very much!

[marcodavila]

This was a great tutorial. Looking forward to watching more videos from your channel.

[ianmbogo]

Best Machine Learning Intro. I loved it and the practical bit was awesome. Full course taught.

[satishchavan]

Thanks a lot Simplilearn. This is one of the best informative videos that I have come across on Data Science with Python. If possible, will be able to also share the dataset (link to download) that has been used in this video as that will help people to follow along thereby providing a hands on experience as well.

[ErRavinderSinghgne]

Thanks @Simplilearn....They way you explain Logistic Regression in python It's amazing...I am practicing machine learning, NLP, deep leaning with python.
Please put videos on NLP also. Thanks

[alvirakhan]

Sir can you please tell me, how can we find weights on sentence bases?

[seanpowell]

You're a star, this so friendly and helpful :)

[dr.barnalibanerjee]

Very easy to understand the concept of data science..nice video indeed

[rupeshvaidya]

Eventhough people say datascience tools provided by python are efficient, we have to understand that its still a difficult language to code through many scenarios.Many feel that datascience tools have not yet been simplified for the end user.Its like climbing mounteverest with ropes attached to you so that you dont have to climb without any support, still its pretty difficult to achieve.

[shashibisht]

Really helpful video.Thanks!!
Do u know how to do predictions on yearly data in python. Which method would be appropriate for this?

[mrbee]

Simply! I have learned from the video! It is portrayed in a really easy way so people could understand the concepts. Can you guys please share the dataset?

[balasoupramanienr]

Good video and more informative ; without the sample data it was too much problem for me to test the ML predictions ; i tried with my own sample data - but i could reach about 40% predict value not more than that - so sample data is the key here to test all these commands - anyway all the commands are working for me andi could run the program with my own data - that much am happy here

[tomg]

I am not convinced. If I become a data scientist I can apply to both data science AND data anlytics jobs. While If I limit myself to learn data analysis only, I precluded myself the data science route. So why would I choose to go for data analysis? If I become a data scientist I can still do the data analysis jobs.