[GET] Data Manipulation in Python: A Pandas Crash Course - Bestseller - 9 hours

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Data Manipulation in Python: A Pandas Crash Course
Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.
Bestseller
Rating: 4.6 out of 5
4.6
(476 ratings)
3,871 students
Created by Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team
Last updated 8/2020
English
English [Auto]


This course includes:

9 hours on-demand video
2 articles


What you'll learn

Visualise data using methods from histograms to dimensionality reduction.
Create, save and serialise data frames in and out of multiple formats.
Clean and format data easily.
Detect and intelligently fill missing values.
Group, aggregate and summarise your data.
Merge data sources into a beautiful whole.
Pivot and cross-tabulate data like a pro.
Intersplice, summarise and investigate time series data.
Seamlessly work with data from different time zones.
Learn the common pitfalls and traps that ensnare beginners and how to avoid them.


Here’s a closer look at the curriculum:
Loading and creating Pandas DataFrames
Displaying your data with basic plots, and 1D, 2D and multidimensional visualizations.
Performing basic DataFrame manipulations: indexing, labeling, ordering slicing, filtering and more.
Performing advanced Pandas DataFrame manipulations: multiIndexing, stacking, hierarchical indexing, pivoting, melting and more.
Carrying out DataFrame grouping: aggregation, imputation, and more.
Mastering time series manipulations: reindexing, resampling, rolling functions, method chaining and filtering, and more.
Merging Pandas DataFrames


https://www.udemy.com/course/data-manipulation-in-python/?couponCode=2021_HERE_WE_GO

[alex44]

THANKS, i CAN USE THIS!