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.
Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python
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