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

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

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

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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:

1. What is Data Science?
2. Basics of Python for data analysis
– Why learn Python?
– How to install Python?
3. Python libraries for data analysis
4. Exploratory analysis using Pandas
– Introduction to series and dataframe
– Loan prediction problem
5. Data wrangling using Pandas
6. Building a predictive model using Scikit-learn
– Logistic regression

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#DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data.

You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques. Those who complete the course will be able to:

1. Gain an in-depth understanding of data science processes, data wrangling, data exploration, data visualization, hypothesis building, and testing. You will also learn the basics of statistics.
Install the required Python environment and other auxiliary tools and libraries
2. Understand the essential concepts of Python programming such as data types, tuples, lists, dicts, basic operators and functions
3. Perform high-level mathematical computing using the NumPy package and its large library of mathematical functions
Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO and Weave
4. Perform data analysis and manipulation using data structures and tools provided in the Pandas package
5. Gain expertise in machine learning using the Scikit-Learn package

The Data Science with python is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields

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By |2019-05-08T18:47:32+00:00May 8th, 2019|Python Video Tutorials|34 Comments

34 Comments

  1. Simplilearn May 8, 2019 at 6:47 pm - Reply

    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!

  2. Befikre May 8, 2019 at 6:47 pm - Reply

    I have web scraping(converting unstructured data to structured data) background using company in-house tool.Can it be good option to go to data science using Python.

  3. Shivam Garg May 8, 2019 at 6:47 pm - Reply

    hi. .pls suggest where we can get datasets

  4. prashant salokhe May 8, 2019 at 6:47 pm - Reply

    Great stuff. Very well explained. Can you please share the dataset to p.salokhe21@gmail.com Thanks a lot.

  5. Haritika chhatwal May 8, 2019 at 6:47 pm - Reply

    Hi Simplilearn found your tutorial extremely useful .Can you please share your data set at haritika74@gmail.com

  6. Rupin Bhalla May 8, 2019 at 6:47 pm - Reply

    This is a good tutorial, can you please share the dataset with me as well. my email is rbhalla111@gmail.com

  7. Novalina F May 8, 2019 at 6:47 pm - Reply

    Hi, i love your tutorial! been searching for a tutorial about predictive modelling and so far your tutorial is the best!! Do you mind to share the code and the data sets ? my email : nlf272169@gmail.com. Thank you ๐Ÿ™‚

  8. Tanzeel Khan May 8, 2019 at 6:47 pm - Reply

    I like your tutorial. you present the knowledge in an effective way.kindly send me data set at f158140@nu.edu.pk.Thanks in advance ๐Ÿ™‚

  9. justus muimi May 8, 2019 at 6:47 pm - Reply

    please share the data set you have used to 'muimijustus@gmail.com'

  10. justus muimi May 8, 2019 at 6:47 pm - Reply

    hello, which method did you use for feature selection? there are so many independent variables yet you used only two to train the model.

  11. nabeel naseer May 8, 2019 at 6:47 pm - Reply

    Great Video guys, may i have the data set to practice what i have learned .. nabeelnaseer116@gmail.com

  12. Kivuti Brian May 8, 2019 at 6:47 pm - Reply

    can you share the dataset on my email briankivuti1@gmail.com

  13. Moonis Ali May 8, 2019 at 6:47 pm - Reply

    This is one of the great ML/Datascience videos out there. Would you be kind enough to share the dataset and the jupyter notebook with me at moonisali@email.com, Looking forward to more of your videos

  14. Vinoth S May 8, 2019 at 6:47 pm - Reply

    Very interesting and helpful video, would you send me please the dataset of the video to my email svcvinoth@yahoo.com / thanks

  15. Xiaohong Yan May 8, 2019 at 6:47 pm - Reply

    Great video, it's really helpful. Could you please share the dataset to xiaohongyan2015@gmail.com. Thx a lot.

  16. Jake PES Gameplay May 8, 2019 at 6:47 pm - Reply

    Thank you for the tutorial

  17. Jake PES Gameplay May 8, 2019 at 6:47 pm - Reply

    Nice information

  18. Satish Chavan May 8, 2019 at 6:47 pm - Reply

    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.

  19. frnklicious May 8, 2019 at 6:47 pm - Reply

    Can I get the dataset? My email is danegunther@yahoo.com

  20. Abhishek Mishra May 8, 2019 at 6:47 pm - Reply

    hello team,
    what are the prerequisites to be a data scientist? I have a master degree in mechanical engineering with no knowledge of coding but i want to go in this field.ย what should I do?

  21. shashi bisht May 8, 2019 at 6:47 pm - Reply

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

  22. shashi bisht May 8, 2019 at 6:47 pm - Reply

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

  23. Rijas Shareef May 8, 2019 at 6:47 pm - Reply

    Hi @Simplilearn, great tutorial! Can i get a copy of the data set used in this tutorial so that I can follow along while watching it. Thanks in advance! Here's my email rijasvshareef@gmail.com

  24. aoun haider May 8, 2019 at 6:47 pm - Reply

    Hi.. great video… can you please send the data set to aoun1280@gmail.com.. Thank alot

  25. Joshua Fernandes May 8, 2019 at 6:47 pm - Reply

    hey can you please add the data set in the video description rather than everyone requesting individually. anywhich ways, good tutorial, please share the dataset.

  26. Silvester cheptumo May 8, 2019 at 6:47 pm - Reply

    Hi, the video was very helpful. would you please share the data you used to slyvetumo@gmail.com?

  27. Martin Mwiti May 8, 2019 at 6:47 pm - Reply

    Hello, great video, kindly send me the dataset to email id: martinmwiti777@gmail.com

  28. Hrithvik Rajkumar May 8, 2019 at 6:47 pm - Reply

    Hi, great video and one of the best on the subject – simple, short and covered adequate depth.. would be great if you can share the python code and data used for me to practice and run.. my email id is hrithvikrajkumar@gmail.com thanks @simplilearn

  29. Krishnadev Adhikari May 8, 2019 at 6:47 pm - Reply

    best …………..
    thank you .

  30. Gachengo Marugu May 8, 2019 at 6:47 pm - Reply

    Awesome tutorial,Kindly post more of these.Could you kindly share the CSV file?My email is gachengomarugu@gmail.com

  31. Kemuel Sabula May 8, 2019 at 6:47 pm - Reply

    kindly send me all data that you use for the videos. My email is kemuelsabula@gmail.com

  32. Zahra Nabila Izdihar May 8, 2019 at 6:47 pm - Reply

    Hi, can you make a tutorial about forecasting model using neural network algorithm (specially backpropagation neural network)? I'm waiting for that.. I would be very grateful if you upload about it.. ^_^

  33. vishal R May 8, 2019 at 6:47 pm - Reply

    Hey Simplilearn,
    The course was super useful, thanks!! the machine learning part was good but it could have been even more clear. Can you share the data set documents to my ID: rvishal494@gmail.com.

  34. Ashutosh Mittal May 8, 2019 at 6:47 pm - Reply

    Could you send me the dataset as well? My email is ashutoshmittal24sept1997@gmail.com

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