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.

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 –

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.

Course Content

  • Introduction –> 4 lectures • 4min.
  • Pandas Basics –> 7 lectures • 31min.
  • Operations in Pandas –> 14 lectures • 1hr 46min.
  • Important Operations in Pandas –> 3 lectures • 42min.
  • Real World Project –> 2 lectures • 19min.
  • Congratulations –> 1 lecture • 1min.

Complete Hands On Pandas Bootcamp with a Real World Project

Requirements

  • No prior programming experience required..

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.