MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English | Duration: 31 lectures (3h 22m) | Size: 748.1 MB
Master powerful pandas library to analyze, manipulate data.
Hands On Implementation with a real world project included
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: muldexing, 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 meg
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
No prior programming experience required.
This course covers everything you need to know about Pandas ( Bner 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: muldexing, 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 meg
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.
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.
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