Learn Python Libraries For Data Analysis & Data manipulation

Rating 3.9 out of 5 (11 ratings in Udemy)

What you'll learn

Python Pandas Library and Its Methods
Reading Data from Sources like CSV, Excel, Html, Json, Json API, Dictionary, etc, using Python Pandas
Handling Missing Data in Datasets
Working with TIme Series Datasets
Use of Matplotlib Library For Plotting Graphs like Line Graph, Bar Graph, Histogram, Pie Chart etc.
Use of Seaborn Library For Plotting Graphs like Line , Bar, Distplot, Catplot, Swarmplot etc.
Exploratory Data Analysis …

Rating 3.9 out of 5 (11 ratings in Udemy)

What you'll learn

Python Pandas Library and Its Methods
Reading Data from Sources like CSV, Excel, Html, Json, Json API, Dictionary, etc, using Python Pandas
Handling Missing Data in Datasets
Working with TIme Series Datasets
Use of Matplotlib Library For Plotting Graphs like Line Graph, Bar Graph, Histogram, Pie Chart etc.
Use of Seaborn Library For Plotting Graphs like Line , Bar, Distplot, Catplot, Swarmplot etc.
Exploratory Data Analysis on Titanic Dataset
Exploratory Data Analysis on GOT Dataset
Exploratory Data Analysis on Historial Stock Data ( From JSON API)
Exploratory Data Analysis on Restaruant Tips Dataset

Description

Lecture 2:Introduction to Python Pandas

Lecture 3:How to Install Python Pandas on Computer

Lecture 4:Data Structures in Python Pandas

Section 2:Pandas Series

Lecture 5:How to Create Pandas Series from Scratch

Lecture 6:How to Create Pandas Series Using Ndarray and Dictionary

Section 3:Pandas Dataframes

Lecture 7:Creating Your First Dataframe

Lecture 8:Creating a Datafram Using Python Lists

Lecture 9:Create an indexed DataFrame using arrays

Lecture 10:Getting Data of a Row or Multiple Rows in Pandas Dataframe

Lecture 11:Basic Operations on Pandas Dataframes - Using Some Methods and Attributes

Lecture 12:Setting and Resetting Index of a Dataframe

Lecture 13:How to Locate Values On the basis of Index Name

Section 4:Reading CSV Files - With Exploratory Data Analysis on Dataset

Lecture 14:Reading CSV Files EDA On GOT Dataset Part 1

Lecture 15:Reading CSV Files EDA On GOT Dataset Part 2

Lecture 16:Read Excel OR Csv File and Write to an Excel Or CSV File

Section 5:Handling Missing Data

Lecture 17:Handdling Missing Data in Dataframes - Fillna Method

Lecture 18:Handdling Missing Data in Dataframes - Fillna Method Continued

Lecture 19:Interpolation in Dataframes - Handling Missing Data

Lecture 20:Replace Methodd in Dataframes - Handling Missing Data

Lecture 21:Groupby in Python Pandas on Columns with repeating values

Lecture 22:Concatenate Dataframes and visualize them

Section 6:Connecting Pandas Dataframe with MySQL Server Database

Lecture 23:How to Connect Pandas With MySQL Server Database

Lecture 24:Use of Merge Method in Python Pandas

Section 7:Reshaping DataFrames in Pandas

Lecture 25:Pivot and Pivot_Table Methods in Python Pandas

Lecture 26:Stack and Unstack Methods in Python Pandas

Lecture 27:Melt Method for Data Manipulation in Pandas

Lecture 28:Crosstab method in Python Pandas

Section 8:Working with Time Series Data in Pandas

Lecture 29:DatetimeIndex in Python Pandas - Time Series

Lecture 30:date_range() method in Python Pandas - Time Series

Lecture 31:to_datetime() Method in Python Pandas

Section 9:Working with JSON Data Using JSON Module and Pandas Module

Lecture 32:What is JSON

Lecture 33:What is an API ?

Lecture 34:JSON API Weather Data Analysis Project Using Python Pandas and Matplotlib

Lecture 35:Stock Price Data From JSON API Analysis using Python Libraries

Section 10:EDA on Titanic Dataset from Scratch

Lecture 36:Exploratory Data Analysis on Titanic Dataset - Pie Chart and Drop

Lecture 37:Correlation Matrix or Heatmap using Seaborn EDA on Titanic Dataset

Lecture 38:Analysis of Parch and Sibsp Columns in Titanic Dataset - 3 Graphs Side By Side

Lecture 39:Histogram Plot and Kernel Density Estimation Using Python

Section 11:Restaurant Tips Dataset

Lecture 40:Scatter Plot using Python Libraries on Tips Dataset

Duration 14 Hours 58 Minutes

Paid

Self paced

Beginner Level

English (US)

115

Rating 3.9 out of 5 (11 ratings in Udemy)

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