Python For Data Analysis | Python Pandas Tutorial | Learn Python | Python Training | Edureka

///Python For Data Analysis | Python Pandas Tutorial | Learn Python | Python Training | Edureka

Python For Data Analysis | Python Pandas Tutorial | Learn Python | Python Training | Edureka

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🔥Python Training:
This Edureka Python Pandas tutorial (Python Tutorial Blog: will help you learn the basics of Pandas. It also includes a use-case, where we will analyze the data containing the percentage of unemployed youth for every country between 2010-2014.

This Python Pandas tutorial video helps you to learn the following topics:
1. What is Data Analysis?
2. What is Pandas?
3. Pandas Operations
4. Use-case

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How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Course

Edureka’s Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next “Big Thing” and a must for Professionals in the Data Analytics domain.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

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By |2020-07-26T08:34:42+00:00July 26th, 2020|Python Video Tutorials|20 Comments

20 Comments

  1. edureka! July 26, 2020 at 8:34 am - Reply

    Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: http://bit.ly/2OpzQWw

  2. Kshitiz Mishra July 26, 2020 at 8:34 am - Reply

    what a session, where none of one asked any questions. we know it was good session. 🎉

  3. D Murali July 26, 2020 at 8:34 am - Reply

    you are explanation is good. This video helpful for me…

  4. Aditya Srivastava July 26, 2020 at 8:34 am - Reply

    loved it

  5. HarshVipin Dwivedi July 26, 2020 at 8:34 am - Reply

    Really great tutorial

  6. priyadurga valluri July 26, 2020 at 8:34 am - Reply

    understanding sir

  7. Joy Chakraborty July 26, 2020 at 8:34 am - Reply

    Sir I watch you full video.. but I eant certificate.. Can you help me about this matter??

  8. GAYATRI BARHTE July 26, 2020 at 8:34 am - Reply

    What does style.use(538)means??

  9. Kunal Soni July 26, 2020 at 8:34 am - Reply

    great session ever😊

  10. Tithi Adhikary July 26, 2020 at 8:34 am - Reply

    Very informative

  11. Tithi Adhikary July 26, 2020 at 8:34 am - Reply

    Like ur Python applications in today's world

  12. Saravanan Mohandas July 26, 2020 at 8:34 am - Reply

    Can you explain applications of data science

  13. Prajakta J July 26, 2020 at 8:34 am - Reply

    AttributeError: module 'pandas' has no attribute 'DataFrame'. How to solve dis. Pls help

  14. Pradeep Nagaraj July 26, 2020 at 8:34 am - Reply

    Excellent Explanation !!

  15. CHETAN DAFE July 26, 2020 at 8:34 am - Reply

    Which software yur are using interface

  16. Senthil Kumar Sugumaran July 26, 2020 at 8:34 am - Reply

    Superb session! Kudos to the trainer!

  17. Prabhakar Shetty July 26, 2020 at 8:34 am - Reply

    One of the best videos and i loved it

  18. Shalini Chandrasekaran July 26, 2020 at 8:34 am - Reply

    what is the difference between concat and merging showed in the example code?

  19. Akhil Mallick July 26, 2020 at 8:34 am - Reply

    Very well explained.

  20. orpat007 July 26, 2020 at 8:34 am - Reply

    This was great tutorial! Good explanation!

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