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

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://bit.ly/2S363Wx

You can also go through the slides here: https://goo.gl/ifQRpS

Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#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

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

Learn more at: https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training?utm_campaign=Data-Science-With-Python-mkv5mxYu0Wk&utm_medium=Tutorials&utm_source=youtube

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Comment List

  • Simplilearn
    November 15, 2020

    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!

  • Simplilearn
    November 15, 2020

    Very good video…awesome

  • Simplilearn
    November 15, 2020

    Hi, thanks for the video. Can I have the dataset? my gmail is: aida.khayatian@gmail.com

  • Simplilearn
    November 15, 2020

    Hi, It's a great tutorial. can you please send data set to ramkumar30695@gmail.com?

  • Simplilearn
    November 15, 2020

    Hi can anyone help..I am trying to make a loop to copy and classify images i have according to category and image index number from a csv file, however I am only managing to keep looping in the same spot ;/ ..this is the code..i tried glob , index , os.walk, iterrows, itertuples, everything. Can someone please indicate what I'm doing wrong. pls pls lps help i am getting so frustrated and annoyed at this.

    import glob
    import shutil
    import pandas as pd
    import numpy as np
    import os

    df=pd.read_csv('Data_entry_2017.csv')
    #df.head(12)

    #a
    a=(df.iloc[0,0])

    i=1
    #b
    b=(df.iloc[0,i])

    #Cardiomegaly
    #print(type(new_str2))

    src = (r'L:/xrayChestImages/images_001/images/') #00000001_000
    dest = (r"L:/chest_xray/")

    for ind in df.index:
    if b == 'Cardiomegaly':
    new_str=str(a)
    new_str2=str(b)
    dest2=os.path.join(dest, new_str)
    src2=os.path.join(src, new_str)
    print(new_str)
    print (src2)
    print (dest2)
    shutil.copy2(src2, dest2) #file #dest_dir3 1st row
    i=i+1
    b=(df.iloc[0,i])

  • Simplilearn
    November 15, 2020

    Could you send dataset on my emaiId ? mtemp0606@gmail.com

  • Simplilearn
    November 15, 2020

    Great video

  • Simplilearn
    November 15, 2020

    Could you please send the dataset to asifratul45@gmail.com ? Thanks a lot

  • Simplilearn
    November 15, 2020

    Awesome tutorial,can u pls share the dataset to
    saivicky0037@gmail.com

  • Simplilearn
    November 15, 2020

    please provide course in data science with python

  • Simplilearn
    November 15, 2020

    Excellent introduction

  • Simplilearn
    November 15, 2020

    wow this the tutorial i'm looking for! I'd be very helpful if I could have the dataset to follow along.

    Could you send it to josias_yerima@yahoo.com?
    Thanks

  • Simplilearn
    November 15, 2020

    Hi nice video, can you please send me the data to follow the exercise? mi mail is keiphoneuser@gmail.com thanks!

  • Simplilearn
    November 15, 2020

    where can I get the data file?

  • Simplilearn
    November 15, 2020

    Thank You

  • Simplilearn
    November 15, 2020

    i know i was a little bit late for this but can u send me a copy of the dataset to follow along ? email : hovvathana1@gmail.com

  • Simplilearn
    November 15, 2020

    Hi sir. This is Vedansh Ruhela. I am 12 years old. I had watched your video and it's great. I had learned a lot about Data Science. Can you please send me the copy of dataset?? Thanks in Advance..
    My email id is :- vedansh.ruhela1@gmail.com

  • Simplilearn
    November 15, 2020

    please share me the csv file on nishhan.neupane@gmail.com I have already subscribed

  • Simplilearn
    November 15, 2020

    Thanks for the video. Can you please send the dataset to shashank634@gmail.com.
    It would be very nice of you. I would like to work on it..

  • Simplilearn
    November 15, 2020

    @Simplilearn kindly send me the dataset, thanks. My email ID: joshua.mwangi@yahoo.com

  • Simplilearn
    November 15, 2020

    @Simplilearn Hi, please send me the data set for this exercise. marorva94@gmail.com , Thanks

  • Simplilearn
    November 15, 2020

    good afternoon, i love your video, please can you shere the data set, thanks a lot, my e mail is: calc08@hotmail.com

  • Simplilearn
    November 15, 2020

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

  • Simplilearn
    November 15, 2020

    Can I please get a copy of the dataset? email ID is nathanjamesleo@gmail.com

  • Simplilearn
    November 15, 2020

    Can you please send me the datasets in this email id: shreyabhattacharjee94@gmail.com

  • Simplilearn
    November 15, 2020

    Great video,may you please share the datasets to my email mzwakheorla@gmail.com

  • Simplilearn
    November 15, 2020

    I think this voice is familiar to me !! Somewhere.
    May I know who is this ?

  • Simplilearn
    November 15, 2020

    Hi, can you please share the excel file at leommaranan@gmail.com? Thank you

  • Simplilearn
    November 15, 2020

    Thanks!

  • Simplilearn
    November 15, 2020

    Can you please share the excel file at netflixmumbhai@gmail.com

  • Simplilearn
    November 15, 2020

    shrivastavmu@gmail.com

  • Simplilearn
    November 15, 2020

    Nice video. Would it possible to send out the jupyter notebook and data set?

  • Simplilearn
    November 15, 2020

    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.

  • Simplilearn
    November 15, 2020

    Wonderful tutorial. This is one of the great data science videos out there. I'm interested in this topic, would it be possible to send the data to my mail ID at itachishinoda@gmail.com? Thank you in advance.

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