Data Analysis with Pandas in Python 2023-11 – Downloadly

Description

Crash course: Data analysis with Pandas in Python. This course follows the following structure

Part 1: Getting Started with Python

This section explains how to install the Aanconda distribution and write your first code.
Additional walking on the Spyder platform

Part 2: Work on the data

P02 01A Executing SQL in Python
P02 01 Understanding data n Adding comments in code
P02 02 Do you know the content of the data
P02 03A Fault diagnosis and treatment Part 1
P02 03B Introduction to the Jupyter IDE
P02 03C Missing numeric value in average n-date treatment of missing values
P02 03D Create a copy of a data frame and delete a record based on a missing value of a specific field
P02 03E Replace missing value with median or mode
P02 04 Data filtering and maintaining multiple columns in the data
P02 05 Use iloc to filter data
P02 06 Numerical variable analysis with grouping by n Transfer results
P02 07 Number of frequency distributions n percent including missing percent
P02 08 An introduction to the substring n function

Part 3: Working on multiple data sets

P03 01 Create data frame in execution. Append concatenated data frame
P03 02 Integration of DataFrames
P03 03 Complete or Remove Column Duplicates Sort Data Frame First Last Max Min Keep
P03 04 Easily get the row for the maximum value of each column and then via idxmax
P03 05 Use idxmax iterrows forloop to solve a complex question
P03 06 Create derived fields using numeric fields
P03 07 Crosstab Analysis n Place the result in another data transfer result
P03 08 Variable extraction based on the character field
P03 09 Variable extraction based on the date field
P03 10 The first day of the last day of the same day of the last n months

Section 4: Data visualization and some commonly used terminology

Section 5: Some statistical methods and other advanced cases

Quickly start using Python for data analysis with Pandas
Learn how to use SQL with Pandas Dataframe
Learn data operations such as merging, sorting and concatenating
Learn by looking at practical examples
Teach how to create a histogram, box chart, pie chart, bar chart, or line chart
Learn how to interact with the SQLlite database from Python
Learn linear regression, chi-square test of independence, outlier detection, and more.

The course will train everything from scratch and in a simplified form for data analysis purposes
The course is less about Python programming and more about using various packages for data analysis purposes.