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.