How to use Pandas in Python | Python Pandas Tutorial | Edureka | Python Rewind - 3 смотреть онлайн

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This Edureka video on 'How to use Pandas in Python' will help you get started with Python Pandas Library for various applications including Data analysis.

00:00:00 Introduction
00:01:30 Introdution to Pandas
00:02:00 Installing Pandas
00:03:56 Dataframes and Series
00:04:53 Exploring using Python
00:13:32 How to View Data
00:17:28 Selecting Data
00:18:00 Slicing and Indexing
00:23:48 How to Handle Missing Data
00:27:05 Pandas Operations
00:38:48 Reshaping: Stack
00:46:38 Time Series and Categoricals
00:59:21 Plotting using Pandas

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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 and 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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Programmers, Developers, Technical Leads, Architects, Freshers
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