Panel - Part 4 | Skillari

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2021 Data Analysis and Data Statistics Bootcamp: Zero to Hero

Introduction

Overview (5:05)

Installation of Modules and Packages

Installation (5:25)
Module and Packages (4:34)

Numpy

Introduction (7:36)
Environment (9:27)
Envirnoment Notes
Ndarray Object (10:27)
Ndarray Object Notes
Data Types - Part 1 (9:11)
Data Types - Part 2 (8:32)
Data Types Notes
Array Attributes (7:42)
Array Atributes Notes
Array Creation (11:18)
Array Creation Notes
Array Creation using Existing Data - Part 1 (7:32)
Array creation using Existing Data - Part 2 (7:32)
Array creation using Existing Data Notes
Array creation using numerical value - Part 1 (8:36)
Array creation using numerical value - Part 2 (6:57)
Array Creation from numerical ranges Notes
Array Indexing and Slicing - Part 1 (9:47)
Array Indexing and Slicing - Part 2 (7:11)
Advanced Indexing (11:04)
Advanced Indexing Notes
Indexing & Slicing Notes
Broadcasting (10:19)
Broadcasting Notes
Broadcasting Iteration (7:14)
Broadcasting Iteration Notes
Array manipulation - Part 1 (7:47)
Array manipulation - Part 2 (7:10)
Array manipulation Notes
Binary Operation (11:09)
Binary Operation Notes
String Operation (9:18)
String Operation Notes
Airthmatic and statistical Function (6:59)
Arithmatic & Statistical Function Notes
Sort, Searching and Counting Function - Part 1 (10:58)
Sort, Searching and counting Function - Part 2 (6:36)
Sort, Searching and Counting Notes
Downloadable IPYNB File Notes

Pandas

Introduction (7:48)
Environment Setup (7:15)
Working with real data (6:21)
Data Structure (7:19)
Data Structure Notes
Series (8:02)
Data Frame (6:43)
Working with Series and Data Frame with real dataset (8:23)
Panel - Part 1 (7:00)
Panel - Part 2 (7:00)
Panel - Part 3 (6:32)
Panel - Part 4 (6:32)
Series Functionality (7:10)
DataFrame Functionality (8:39)
Example of Series and Data Frame(with Rael Dataset) Notes
Basic Functionality(Series and Data Frame) Notes
Statistics Methods (7:37)
Statistics Method Notes
Lambda Function (6:40)
Reindexing (9:50)
ReIndexing (1) Notes
ReIndexing (2) Notes
Iteration (6:36)
Iterration method Notes
Sorting (6:24)
Sorting Notes
MultiAxes Indexing - Part 1 (6:41)
MultiAxes Indexing - Part 2 (6:40)
Multiaxes Indexing Notes
Windows Statistics Methods (9:37)
Windows Statistics Method - Checkpoint Notes
Missing Values (6:45)
Timedelta (7:49)
Timedelta Notes
Introduction to Visualization (7:16)
Plots - Part 1 (6:10)
Plots - Part 2 (7:33)
Plots - Part 3 (6:17)
Plotting Notes
Downloadable IPYNB File Notes

Matplotlib

Introduction (5:32)
Enviroment Setup (7:49)
Simple Plot - Part 1 (7:13)
Simple Plot - Part 2 (9:48)
Pylab - Part 1 (7:59)
Pylab - Part 2 (7:31)
Pylab Notes
Pylab-checkpoint Notes
Grid (8:36)
Bar plot (7:05)
Histogram (7:06)
Pie chart (6:01)
Scetter plot (8:31)
Contour plot (7:15)
Box Plot (7:22)
Quiver Plot (7:07)
Violinplot (6:59)
plot(matplotlib -2D) Notes
plot(matplotlib -2D)-checkpoint Notes
3D plot introduction (6:29)
Lines and Scatter plot using 3D (7:10)
Counter Plot(3D) (6:32)
Wireframes and Surface plots (7:44)
Surface traingulation(3D plot) (7:09)
3D plotting Notes
3D plotting-checkpoint Notes
Downloadable IPYNB File Notes

Searborn Pyplot

Introduction to Seaborn (7:08)
Matplotlib vs Seaborn (7:04)
Colorplot and Histogram Plot (7:01)
Statistical Estimation (6:35)
Seaborn (plots- grid) (7:32)
Plotly Introduction (5:52)
Plotly Example (6:46)
Seaborn_Plotly_Geoplot Notes
Seaborn_Plotly_Geoplot Checkpoint Notes
Downloadable IPYNB File Notes

Statistics

Introduction (7:09)
Types of data (6:24)
Mean, Median and Mode (6:39)
Statistics Example (6:45)
Function (6:23)
Skewness (7:12)
Statistics Analysis (6:53)
Types of Statistics Analysis (7:40)
Statistics Notes
Statistics Checkpoint Notes
Linear Regression - Part 1 (6:50)
Probability (7:29)
Linear Regression - Part 2 (9:28)
Bayer's Theorem (7:00)
Adictive Theorem (6:51)
Multiplicative Theorem (6:31)
T Test (6:15)
F Test (6:11)
Z Test (4:46)
Z Test Vs T Test (6:30)
Linear Regression Notes
Linear Regression Checkpoint Notes
Downloadable IPYNB File Notes

Mini Project

Project Demo (5:42)
Introduction (7:27)
Project Demo Notes
Downloadable IPYNB File Notes

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