Python Pandas Tutorial | Pandas Library - Python Programming | Python Tutorial | Edureka

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This Edureka video on 'Python Pandas Tutorial' will help you get started with Python Pandas Library for various applications including Data analysis. Following are the topics covered in this Pandas Library Python Tutorial:

Introduction to Pandas
DataFrames and Series
How To View Data?
Selecting Data
Handling Missing Data
Pandas Operations
Merge, Group, Reshape Data
Time Series And Categoricals
Plotting Using Pandas

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🌕 Artificial and Machine Learning PGD with E&ICT Academy

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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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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 licence.
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.
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Who should go for python?

The Python Programming Certification Course is a good fit for the below professionals:
Programmers, Developers, Technical Leads, Architects, Freshers
Data Scientists, Data Analysts
Statisticians and Analysts
Business Analysts
Project Managers
Business Intelligence Managers
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