Pandas - Tips and Tricks
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 965 MB
Genre: eLearning Video | Duration: 38 lectures (2 hour, 59 mins) | Language: English

Feel confident with Pandas

What you'll learn

Have a fundamental understanding of the Python Pandas Concepts
Have the skills and understanding of Python Pandas to confidently apply for Python programming jobs
Acquire the pre-requisite Python Pandas skills to move into specific branches - Machine Learning, Data Science, etc
Understand how to perform data analysis in Python using Pandas
Learn Advanced Python concepts to manage,cleaning and reorganizing huge amount of Data using Pandas
Learn about merging and creating pivot tables out of large datasets
Perform various operations among data columns and rows
Learn from experienced professional software developers

Requirements

A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included in this program
Your enthusiasm to learn this go-to programming language. It's a valuable lifetime skill which you can't un-learn!
You should know Basics understanding of Python and Pandas

Description

Data scientists spend most of their time in searching, managing, cleaning, and reorganizing huge amounts of data as most of them are using tools such as Excel to process their data. If you use a programming language such as Python you can drastically reduce the time it takes for processing your data and make them ready for use in your project.

In this course you will learn various Tricks and Tips used in Python Pandas, to perform data analysis that is effective and full of useful insights. You will learn how Python Pandas package can be used to manage, clean, and organize huge amounts of data and how to extract the data files, load numbers of files, concatenating and joining data from different sources, converting between fields, aggregating, conditioning, and many more data processing operations.

This course assumes you have basic knowledge of Python.

By the end of this course, you will have an advanced understanding of the Pandas library and the knowledge that will help you to move forward and grow as a professional data scientist or analyst.

Who this course is for:

This course is for those who come from any technology field that deals with any kind of data
Those who want to strengthen their skills in Python programming language for handling data using Pandas
Professionals looking to use Pandas for Data processing

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