Master Pandas for Data Handling [2024]

سرفصل های دوره

Learn to Master the worlds most powerful software for Advanced Data Handling

1 - Introduction

1 - Introduction to Master Pandas for Data Handling

2 - Setup of the Anaconda Cloud Notebook

3 - Download and installation of the Anaconda Distribution optional

4 - The Conda Package Management System optional

2 - Master Pandas for Data Handling

5 - Master Pandas for Data Handling Overview

6 - Pandas theory and terminology

7 - Creating a DataFrame from scratch

8 - Pandas File Handling Overview

10 - Pandas File Handling The xlsx file format

11 - Pandas File Handling SQLdatabase files and Pandas DataFrame

12 - Pandas Operations Techniques Overview

13 - Pandas Operations Techniques Object Inspection

14 - Pandas Operations Techniques DataFrame Inspection

15 - Pandas Operations Techniques Column Selections

16 - Pandas Operations Techniques Row Selections

17 - Pandas Operations Techniques Conditional Selections

18 - Pandas Operations Techniques Scalers and Standardization

19 - Pandas Operations Techniques Concatenate DataFrames

19 - dataframes.zip

20 - Pandas Operations Techniques Joining DataFrames

20 - pandas-ops-tech-join-df.zip

21 - Pandas Operations Techniques Merging DataFrames

21 - pandas-ops-tech-merge-dataset.zip

22 - Pandas Data Preparation I Overview workflow

23 - Pandas Data Preparation II Edit DataFrame labels

24 - Pandas Data Preparation III Duplicates

25 - Pandas Data Preparation IV Missing Data Imputation

26 - Pandas Data Description I Overview

27 - Pandas Data Description II Sorting and Ranking

28 - Pandas Data Description III Descriptive Statistics

29 - Pandas Data Description IV Crosstabulations Groupings

30 - Pandas Data Visualization I Overview

31 - Pandas Data Visualization II Histograms

32 - Pandas Data Visualization III Boxplots

33 - Pandas Data Visualization IV Scatterplots

34 - Pandas Data Visualization V Pie Charts

35 - Pandas Data Visualization VI Line plots

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تولید کننده: Udemy