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Pandas for Data Processing

Hands-on with Pandas
3.8
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(82 reviews)
17,763 students
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Content

Platform: Udemy
Video: 9h 35m
Language: English
Next start: On Demand

Table of contents

Description

Pandas is an open source Python package that is used for data science/data analysis and machine learning tasks. It is built using Numpy and provides support for multi-dimensional arrays, dataframes etc. Pandas makes it simple to do many of the time consuming, repetitive tasks associated with working with data. Pandas happens to play important role in Data Science / Data Analysis.
Data Science is an essential part of many industries, given the massive amounts of data that are produced, and is one of the most topic. Its popularity has grown over the years, and companies have started implementing data science techniques to grow their business and increase customer satisfaction. Data science is the domain of study that deals with vast volumes of data using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions.  The data used for analysis can come from many different sources and presented in various formats.
The following topics are covered using pandas:
•What is Data Science
•How to get (real) stock data , how to plot data in Jupyter
•SQL and MySQL interaction using Pandas
•read csv file and do various operations. Stocks data is considered as example
•write csv file and associated operations
•Handling missing data,
•Data filtering / Wrangling using Pandas
•Group by support in Pandas
•Concat support in Pandas
•Merge of Dataframes
•Pivot Table support in Pandas
•Stack / Unstack support in Pandas
•Reshape with Pandas
•Cross Tab with Pandas
•excel support
•Time series Support for calendar ( Business Days, Holidays)
•Time series Support for resampling, indexing time series data
•Hands-on / Practical with various datasets like: stock /share data, weather data etc

You will learn

✓ The students will learn what is DataScience, how to do data processing using Pandas (with Python)

Requirements

• Python language

This course is for

• Beginner Python developers, Data Science students, Students who have some exposure to data analytics
• This course is meant typically for those who want to learn Data Science and who have some exposure to python programming, like freshers.
Technologist
Shrirang is a Technology expert in product development with international exposure. His more than 25 years of rich experience spans across companies like Bharat Electronics Bangalore (BEL), Tata Elxsi Bangalore/Japan, Philips Software Bangalore/Netherlands, Persistent Systems Pune/Nagpur , ERP based startup. He has handled various overseas customers in countries like USA, Japan, Taiwan, Netherlands and Belgium including working onsite. He was instrumental in starting Technology Incubator at VNIT Nagpur in cooperation with [email protected] He also has 10+ years’ experience of campus recruitment and lateral hiring.
He is a mentor for TCS iON program and provides online training for IoT course (via TCS’s iON platform). He was responsible for IoT lab setup at one of the Engineering College. Apart from that he was visiting faculty at VNIT (NIT Nagpur) and other colleges at Nagpur. He conducts training programs for faculties (FDP) and students.
He has authored a book titled “21 IoT Experiments” (Yashwant Kanetkar/ Shrirang Korde).
He also has research publications to his credit including VDAT publication.
His current focus is in technology areas like Machine Learning, Deep Learning, Python & Data Science, Data Structures, C/C++/Java, Internet of Things (IoT) and Android programming.
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Platform: Udemy
Video: 9h 35m
Language: English
Next start: On Demand

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