Udemy Complete Hands On Pandas Bootcamp with a Real World Project

Master powerful pandas library to analyze, manipulate data. Hands On Implementation with a real world project included.

What you'll learn​

• Learn everything about pandas right from scratch with hands on implementation of a project.
• Gain a deep and hands-on understanding of pandas data structures.
• Implement Pandas Series Methods and DataFrames in depth
• Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
• Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
• Practice reading data from the web, pickles, Excel files right within pandas.
• Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
• Import, clean, and merge messy Data and prepare Data for Machine Learning
• Merge and Concatenate many Datasets efficiently.
• Scale and Automate data merging
• Clean and format data easily.
• Detect and intelligently fill missing values.
• Group, aggregate and summarize your data.
• Implement important methods, attributes, and techniques to manipulate data in pandas and python
• Learn and practice all relevant Pandas methods and workflows with Real-World Datasets
• Implement a hands on project and add it to your resume/portfolio

Requirements​

• No prior programming experience required.

Description​

This course covers everything you need to know about Pandas ( Beginner to Advanced) with a hands on real world project. It covers most important constructs of Pandas as detailed below -

• Learn everything about pandas right from scratch with hands on implementation with 3 projects.
• Gain a deep and hands-on understanding of pandas data structures.
• Learn Series at a Glance - Series Methods and Handling
• Implement DataFrames in depth
• Implement GroupBy, Slicing, Aggregates and Reshaping With Pivots
• Join, Melt, cut, transform, clean, filter, groupby, pivot, merge and otherwise manipulate any dataset.
• Practice reading data from the web, pickles, Excel files right within pandas.
• Implement advance Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
• Import, clean, and merge messy Data and prepare Data for Machine Learning
• Merge and Concatenate many Datasets efficiently.
• Scale and Automate data merging
• Clean and format data easily.
• Detect and intelligently fill missing values.
• Group, aggregate and summarise your data.
• Implement important methods, attributes, and techniques to manipulate data in pandas and python.
• Learn and practice all relevant Pandas methods and workflows with Real-World Datasets with Quizzes to test your understanding.
• Implement a hands on project and add it to your portfolio

The Pandas Library is the Heart of Python Data Science because it enables you to import, clean, join/merge/concatenate, manipulate, and deeply understand your Data and finally prepare/process Data for further Statistical Analysis, Machine Learning etc. It's crucial to develop a thorough proficiency in Pandas to get into data science field. This course is all you need! Get started today.

Who this course is for:​

• Anyone who wants to get into data science and Machine learning
• Everyone who wants to master large, messy and unclean Datasets
• Data Scientists
• Machine Learning Professionals
• Anyone interested in mastering data analysis with python
• Anyone looking to deeply understand and master pandas
• Data Scientists who want to improve their Data Handling/Manipulation skills.